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Why Choose Shift-Left and Shift-Right Testing Approach?  

There were times when testing and quality assurance teams were strategically divided and the development cycle followed a perfect procedural style where development was followed by QA and testing process. These processes introduced a delay in the development stages and resulted in applications that came with a lot of bugs and errors that needed to be rectified more frequently.

Today the scenarios have changed completely. For starters, development and QA teams are no longer separate entities and work closely on a single project to avoid delay in production. Ensuring quality in the development process is every single member’s responsibility which means that continuous testing is required throughout the process. This is where this concept of shift left and shift right testing comes into the picture.

Casually referring to the left-to-right writing style, the shift left testing approach commonly talks about testing your applications after every single development stage whereas shift right testing talks about testing towards the end of the development cycle. To understand it better, let’s first have a look at the waterfall model of project management.


ImpactQA - Waterfall Model in Software Development


The waterfall model talks about the importance of following a linear project strategy, ensuring that every second step is followed only after the previous one is completed. This is somewhat similar to what our shift left testing approach is all about.


Shift Left Testing in detail…

Following the drill, the shift left testing approach means doing things ahead of its stipulated time. In other words, developers test their applications before time. This means that while following the shift-left testing approach, instead of waiting for the application to be developed and then move to the testing phase, your development team would test your application at every single step of its development. So, to put it out, Shift left approach brings testing and development together and makes your developers work in a team towards a common goal.


Why should you adopt a shift left testing approach?

Though a lot many growing developers would see this continuous testing routine in shift left testing as a bottleneck in their development process, inculcating a habit of early testing can help your company benefit on various levels. Below mentioned are some of the most basic reasons why you introduce shift left testing in your usual software development life cycle.

  1. One of the biggest benefits of shift left testing is the fact that this form of testing enables you to identify roadblocks and possible performance testing blunders in advance. Many times, your original design can take a massive toll as compared to the one that comes out towards the end of your development project, but the result is always a better and improved version of the previous one
  2. It gives you time to fix your bugs in advance making sure you do not miss out on delivery date deadlines because your application was not ready to be deployed yet
  3. Shift left technique is more like ‘do a maths sum everyday’ approach that ensures the result is accurate and saves a lot of time that otherwise would have been wasted in testing post-development. It improves the efficiency and quality of your work


What are the types of shift-left testing?


Traditional Shift Left Testing

This form of testing approach is exclusively focused on the unit and integration testing with the combined use of API testing and modern testing tools. One drawback of this approach is that it fails to focus on system-level and acceptance testing


Incremental Shift Left Testing

This testing approach is best used for high-level complex applications development. In this process, complex codes are broken down into small segments and tested individually one after another that allows developers to build one segment above the other ensuring each of these segments is accurate and error-free



Shift left testing method helps in performing tests in numerous sprints and it is widely used for development-based testing without operational testing. Very recently the Agile/DevOps Shift Left testing process has gained popularity and it is preferred widely by many enterprises


Model-Based Shift Left Testing

Model-based shift left testing uses the concept of early-stage testing in the design and development phase that includes executable requirements, design model and architecture and helps in rectifying around 50-60% errors introduced in these early development phases



Shift Right Testing

Shift right testing approach refers to performing testing routines towards the end of the development process. Usually, it’s after the deployment or release. This form of testing can also be deployed in configuring, operating and monitoring software. So, to mention in plain simple terms, shift right testing brings testing and operations to a single platform.

These practices today are very closely linked with DevOps where the development and operations team sit right next to each other throughout the development phase and the engineers involved with the project can provide valuable inputs any time.

Shift Right testing practices such as API Monitoring, Feature Toggles, and using production traffic for testing applications are just a few examples of how teams can extend their Continuous Testing culture to a more holistic approach in the development lifecycle.


Few reasons to adopt the shift-right testing approach:

Below mentioned are some of the top reasons why you should opt for shift right testing.

  1. By choosing the shift right approach, developers can get hold of the customer feedback early in the development phase and rectify the changes required on their application
  2. Individually testing applications on each step gives a lot of scope to automation in your application. When small chunks of your app are being developed, it becomes easier to automate the entire process and deliver a quality product
  3. Shift right testing enables you to proceed with user interface automation once your application is stable to its core
  4. Shift right testing approach enables developers to test a larger chunk of application together which means it gives them a broader idea of the functioning of the application. This ensures your application is free from bugs and offers and delightful customer experience


What are the different methods of shift-right testing approach?


A/B Testing

This type of testing is commonly referred to as bucket testing or split testing. There are duplicate designs of a web page that are created and tested individually to see which design generates more leads for the business. It falls under the conversion rate provision process where the page with minor variations is compared with the original one to analyse how both are performing individually. Ultimately, the page that generates more leads is incorporated and the original one is moved to trash.


Continuous Quality Monitoring (CQM)

Continuous Quality monitoring helps in improving the system quality at all software lifecycle stages. Many tools and techniques are used to monitor the quality of any application in its development stages. Few of the most common CQM techniques include Code instrumentation, Real user monitoring and virtual user monitoring that can be used in the software development process.


Chaos Testing

In this form of testing, errors are manually introduced in the systems code to check how the program will function in such scenarios. Technically, artificial chaos is created to check the application’s performance in stress conditions that helps developers to identify and fix bugs before the application is released for the mass users. There are various performance testing tools that can be used to automate this process to make your testing quicker and efficient. The basic idea is to check how the application will respond when sudden attacks are introduced to the infrastructure of the application or the network.


Combining Shift Left and Shift Right Testing with DevOps

ImpactQA - Continuous Testing in DevOpsWhile talking about introducing the shift left and shift right approach to testing in an agile application development environment, it’s important to understand how often we need to test and when.

Having a set testing calendar but only doing it once in the development stage will not make any sense as this would ultimately result in delay towards the end of the delivery stage. Instead, a healthy testing schedule would mean that testing is introduced into every single iteration, cycle, sprint, etc. Many modern organisations today have started performing these agile practices that include test-driven development. The ultimate aim is to incorporate testing into development seamlessly and ensure both the left shift testing and right shift testing techniques are followed in the development process.

To conclude it can be stated that it’s important to incorporate both shift left and shift right testing techniques in the application development process. These approaches bring your development, operations and testing teams together and make them work hand-in-hand to help deliver quality products to your customers.

You can always improve in the development stages, even if your team is testing your application at every single step of the production. It’s important to note here, that establishing the right balance in testing is essential in your development cycle. You do not want your developers to be engulfed in testing forever and lose out on the essential creativity level. This is where automating your testing process can come to rescue.

Automation here can help you save a lot of time and deliver better results in terms of quality, accuracy and efficiency. Manual testing on the other hand could create new bottlenecks for your system. Automated testing has a bucket full of benefits that can be passed on to your development.

Having walked through the significance of application testing through the shift left and shift right testing approach, it’s clear where this is moving. Combining shift left and shift right testing and adding a pinch of automation to this leads to continuous testing.

Being a leader in the independent software testing services, ImpactQA can be your one-stop solution to quality assurance at all stages of application development.

Contact ImpactQA for your next software testing solutions project and our experts will get in touch with you immediately.

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JMeter Vs LoadRunner: Which is Suitable for Performance Testing?

Talking about Performance testing at first, it’s a testing measure that’s responsible for evaluating the speed, responsiveness and stability of a computer, network, software program or device under a workload. Organizations usually run performance tests to identify basic performance bugs and bottlenecks in their applications and software. Today, our IT market is full of software testing services providers that can help you choose the right tools available for both commercial as well as open-source usage.

Two of the common user’s choice performance testing tools available in the market are Apache JMeter and HP LoadRunner. Both these applications work amazingly well when it comes to detecting bugs or identifying common performance issues in your applications and software under load testing.

Though to clearly state which performance testing tool is better than the other is a tricky question, in this article our approach would be to compare the basic features, advantages and disadvantages and various performance testing parameters to be able to decide which of these testing tools is the best suited for your project type.


  1. Introduction to Apache JMeter 
  2. Pros of JMeter
  3. Cons of JMeter
  4. Introduction to HP LoadRunner
  5. Pros of LoadRunner
  6. Cons of LoadRunner
  7. Comparison between JMeter vs LoadRunner 

Introduction to Apache JMeter 


ImpactQA - Apache JMeter


The Apache JMeter is a pure Java-based open-source software that’s designed to load test functional behaviour and measure the performance of your application in response to the generated stimuli. This app was originally designed for testing web applications but has expanded to other test functions ever since.


Let’s have a closer look at the Pros and Cons of Apache JMeter Testing tool

Pros of JMeter

  • JMeter is easy to install on any desktop with windows, mac or Linux and free to use.  
  • It has the most user-friendly interface or can be easily used in a command-line interface.
  • JMeter can easily extract data from any data formats like HTML, JSON, XML or text-based formats into its system.
  • JMeter has ready to use plugins that can be used for visualization and data analysis.
  • It enables test recording for native applications and browsers
  • JMeter can be easily integrated with plug-ins and third-party tools
  • It’s highly extensible and portable 
  • JMeter has unlimited load generation capacity and comes with an excellent support community


Cons of JMeter

  • The tool is not that easy to use, which means it requires skilled testing analysts to do the job. 
  • It doesn’t support JavaScript and by extension doesn’t automatically support AJAX requests which makes it difficult to run codes written in java through the system.
  • It’s difficult to test complex applications like CSRF, or JS to alter requests with JMeter. 
  • JMeter consumes too much memory in GUI mode due to which it shows a lot of errors to a lot of users. 
  • It’s less proficient than other paid testing tools available in the market. 


Introduction to HP LoadRunner 


ImpactQA - HP LoadRunner

A testing tool given by Micro Focus, Loadrunner tests applications, measures system behaviour and performance under load. It can simulate a lot of users simultaneously using application software, recording and later analyzing the performance of key components of the application.

Read our blog on Performance Testing Vs Load Testing to know more about the basic differentiator points between the two popular forms of testing types. 

With the basic intro being set, let move ahead to know about the pros and cons of both these performance testing tools respectively. 

Let’s have a closer look at the Pros and Cons of HP LoadRunner Testing tool

Pros of LoadRunner

Here are some key advantages that stand out the most for LoadRunner.

  • LoadRunner can accurately detect system level, end-user and code-based bottlenecks present in the code and purpose fixtures. 
  • It helps minimise the cost of application downtime by determining the root cause of application performance issues 
  • It allows testing of legacy software with updated technologies. 
  • Allows easy mobile application testing
  • LoadRunner helps reduce software and hardware cost by intimating its users about the exact capacity and scalability of its software.  
  • It enables teams to develop intelligent service-level agreements before their product goes live
  • It gives its users short test cycles that help accelerate application delivery on global test resources.
  • It enables optimal usage of load generators and gives better results of load testing. 
  • Optimal usage of load generator farm


Cons of LoadRunner

  • Its way more expensive compared to other testing tools available in the market. 
  • Its debugging features need basic improvements to give better results. 
  • LoadRunner crashes a lot in cases when the system is unable to meet computing requirements. 
  • Its uses a lot of memory space and has significant compatibility issues with other frameworks. 
  • It has a limited amount of load generation capacity. 

Comparison between JMeter vs LoadRunner: 

Having compared the pros and cons of Apache JMeter and HP LoadRunner separately now let’s focus on basic parameters of comparison between the two performance testing tools in detail. 

Looking at the market trends it can be noted that JMeter is much more popular in the testing tools market as compared to LoadRunner. To crosscheck, we did a google trends analysis for the two terms LoadRunner and Apache JMeter and the results we received can be seen below:


ImpactQA - JMeter Vs LoadRunner: Google trends

Source: Google Trends


As it can be seen, though LoadRunner is quickly picking pace, JMeter remains to be more searched term on the internet and acquires a stronger position in the market. 

Let’s analyse the two testing tools better by comparing its features on eight different parameters mentioned below:




Apache JMeter

HP LoadRunner

1. Easy availability and execution JMeter is an open-source application testing tool available for performance testing. Once you download java, JMeter can be used to upload your JMeter script file and run your test.  LoadRunner on the hand is paid and expensive. Execution can be complex because it creates one thread for each user 
2.  Load Generation JMeter can generate unlimited load for accurate load testing  LoadRunner can generate a limited amount of load for load testing 
3. Analysis The results generated by JMeter are simple and easy to understand for less experienced testing engineers. LoadRunner on the hand generates reports that are raw and have to be analysed by engineers separately.
4. Community support JMeter has a larger community and supports issues faced by users.  LoadRunner has limited users therefore it’s community is smaller. 
5. Skill requirement JMeter can be used without knowing a word about coding and scripting LoadRunner on the other hand requires accurate scripting knowledge to run its performance tests. 
6. Addition of elements  Elements can be easily added or removed fro  JMeter  LoadRunner, on the other hand, is much more complex to tweak for any elements in it’s script. 


As noticed above, both JMeter and LoadRunner are effective performance testing tools used by a majority of leading performance testing companies. JMeter being open source has larger popularity compared to LoadRunner but the features offered in HP LoadRunner surpasses JMeter’s open-source benefits. 

If your project has budget limitations then opting for Apache JMeter is a better idea. On the other hand, if your company can afford to shell out some dollars then LoadRunner can deliver better performance testing results along with in-depth bottleneck detection and root cause analysis along with other advanced testing features that are not available in JMeter. 

Contact ImpactQA, a leading performance testing company that can help you test your applications and software to achieve accurate results and ensure your application stands and delivers quality user experience at the most valuable hours. 

Have a new project in mind? Schedule a call now!


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Top 5 Cloud-Based Software Testing Tools

The extensiveness of cloud-based testing has been impressive as more and more enterprises have realized its gravity and competence over the past couple of years. Cloud-based testing is advantageous for a team to maintain pace and client demands which are related to test automation. The software testers are permitted to perform tests covering multiple versions, multiple devices, and multiple test case scenarios, thereby enhancing project efficiency.

The cloud testing market is projected to acquire USD 10.24 Billion by 2022; this growth is expected to occur at 13.01% CAGR.  The role of cloud-based software testing tools is imperative when it comes to conducting cloud testing. At present, you have several cloud-based testing tools available in the market that are well-suited for both small and large businesses.

As per industry gurus, the value of cloud-based testing is likely to surge majorly in the near future. With remote working gaining prominence during this global pandemic, the dependency on cloud testing has increased to uplift the value of cloud-based testing tools directly. To understand the significance of cloud-based testing tools within the software testing arena, let us focus on its benefits and top tool choices preferred by companies.

Benefits of Cloud-Based Testing Tools


The most interesting aspect related to cloud-based automation tools is the reduced ‘cost of ownership’ as compared to conventional test automation tools. With cloud-based tools, there are no licensing costs and the presence of hardware needs are also less. Furthermore, cloud-based tools deliver high reusability in terms of test components. They are ranked as highly scalable to prove useful for load & performance testing frameworks.

Comfort of Virtualization

The incorporation of cloud-based tools brings with it the advantages of virtualization. To be precise, companies are enabled to make use of their resources to achieve efficient testing optimally. The need for virtualization becomes highly imperative as applications turn more and more complex. Enterprises gain through the benefit of lesser capital costs and resource sharing.

Quick Testing

Having cloud-based automation tools in your software testing suite assures additional advantages related to quicker test arrangements and tool deployment. There is no role for a tiring setup or installation process as testing can immediately initiate from any place without any geographical restrictions. Moreover, cloud-based tools offer seamless software upgrades with reduced downtime. Quick testing directly lessens the time-to-market that is eagerly expected by companies to receive better market standing.

Topmost Cloud-Based Testing Tools

SOASTA CloudTest

ImpactQA - CloudTest LogoSOASTA is the sole developer of CloudTest, which is a leading cloud-based software testing tool. The primary functionalities of CloudTest are associated with loading and performance testing focused at mobile & web applications. This cloud testing tool operates by hosting one or more servers or preferably the cloud.

Prime Features:

  • Presence of a customizable dashboard with real-time feedback
  • Availability of Visual Playback Editor and Visual Test Creation
  • Collaboration with cloud providers like Rackspace and AWS for executing application stress test


ImpactQA - Nessus LogoThe usefulness of this renowned cloud-based testing tool is evident via vulnerability scanner operations. It permits the detection of discrepancies linked to misconfigurations as well as missing patches across devices, virtualized systems, cloud infrastructure, firewalls, etc. Nessus assists in the detection of threats such as viruses, backdoors, malware, and a lot more. On the broader front, this cloud-based software testing tool provides visibility for AWS, Google Cloud, and Azure platforms.

Prime Features:

  • Automatic plugin updates in real-time
  • Provision for pre-built policies & templates
  • Conduct a vulnerability assessment to spot system issues and inconsistencies


ImpactQA - Testsigma LogoThe popularity of Testsigma as a useful cloud-based automation testing tool for mobile & web applications has supported numerous companies across different industry verticals. Being an AI-driven tool, Testsigma is ideal for continuous testing in both DevOps and Agile environments. The incorporation of this tool helps save time and overall cost by running tests in a parallel arrangement.

Prime Features:

  • Natural language processing that simplifies the writing of automated tests
  • Active suggestions associated with test execution whenever the code gets altered
  • Recognizing potential test failures for better implementation


ImpactQA - LoadStorm LogoBeing a primary load testing tool for both mobile and web applications, LoadStorm is not that complicated. You can consider it as a capable cloud-based testing tool for assessing performance under extreme traffic scenarios. The capability of this tool can be judged by its high scalability which permits it to simulate multiple virtual users to spot looming issues in your website or application. With the involvement of LoadStorm in your software testing plan, recording scripts become somewhat more manageable.

Prime Features:

  • Provision for cloud load testing to highlight the scalability of web and mobile applications
  • Advance reporting to deliver sophisticated overview related to application performance under load


ImpactQA - Dev@Cloud LogoCloudBees introduced the Jenkins Dev@Cloud, which effectively facilitates development, integration and continuous deployment on the cloud. This cloud testing tool supports development in numerous languages merged with deployment in multiple services. The presence of trending mobile testing tools focused at development is one of the prominent advantages of Jenkins Dev@Cloud; it offers a secure connection via the cloud for the existing systems.

Prime Features:

  • Support from third-party systems such as Google App Engine, AWS Elastic Beanstalk, etc
  • Steady software delivery platform that protects cloud-native apps which are designed using Jenkins X
  • The presence of CloudBees Core works as a CI/CD automation engine which backs different software portfolios
  • Availability of CloudBees CodeShip to leverage features for shipping the apps.

Cloud-based testing tools need to be selected on the basis of application and company requirements. The benefits of various cloud testing tools are readily mentioned in the above section; however, you need to analyze how to can utilize them smartly for the benefit of your organization.

You need not be restricted to popular tools such as CloudTest, Testsigma, or LoadStorm, but explore the market by consulting quality cloud testing service providers. ImpactQA can serve as a specialist consultant in updating you thoroughly about the trending cloud-based testing tools. You can further receive in-depth knowledge about their usage and operational benefits through our experts whenever required.

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AIOps Role of Testing Professionals for Successful Implementation

The excellence of Artificial Intelligence (AI) has revamped the software testing arena. This is evident with the recent propagation of “AIOps,” which effectively incorporates artificial intelligence across IT operations. On a much broader canvas, we can also view it as the constructive method of using machine learning or data science to resolve IT-related discrepancies.


Presently, artificial intelligence to supervise multiple IT functions, such as performance monitoring, service management, remediating blackouts, etc., is gaining popularity. Therefore, it is slowly becoming imperative to get hold of AIOps for ensuring fast-paced software delivery.

Growing Demand for AIOps

The extensiveness of AIOps as part of the software testing plan is positively responsible at the global level. This is mainly due to this process’s usefulness and its ability to assist the quicker release of complex applications. Many organizations have greatly benefitted as AIOps can handle vast amounts of data without much worry.


ImpactQA- AIOps Process Roadmap


Machine learning (ML) and Big Data are seen as the two primary components of AIOps. Therefore, this unites data from monitoring and further assists in automation tasks accomplished in a streamlined order. Numerous companies planning to remodel their testing approach have placed their trust in AIOps to receive useful insights. According to recent research updates, many large enterprises have exclusively preferred AIOps and sophisticated monitoring tools to examine applications and associated infrastructure. Such operations are a great benefit to the organization as it helps enhance overall business value.


The global AIOps market is estimated to reach USD 237 billion by 2025. These statistics highlight impressive growth that is majorly supported by modern technologies such as machine learning, big data platform, and predictive analytics.


How can Testers Contribute to AIOps Operations?

For the implementation of AIOps, you need to gather a team of testing professionals having a clear idea about the components and steps involved. Similar to DevOps, AIOps also requires a significant cultural shift with the tester placed in an important position.


At the beginning of AIOps implementation, testers’ team needs to get familiar with the AI and ML terminologies. This step is essential and proves beneficial while imparting training. To understand the complete role of a professional tester in an AIOps environment, let us stress on the pre- and post-implementation stages for better insight.


Pre-Implementation Stage of AIOps

AIOps is known to assist teams in smartly carrying out performance testing operations. Usually, performance testing is conducted during the staging environment but without the involvement of production-related data.

Before AIOps is actually implemented, the testing team ensures the scripting of performance testing scenarios. These are then reviewed in collaboration with business and development teams.


The latter approach by the testing team is to execute the load tests. According to professionals’ tests, it was revealed that the scripting failed while the server collapsed when it reached peak memory usage. At this moment, the utilization of system resources was reasonably high.  


While the testers analyze the script execution results and application log files, they can ask the IT support team for additional assistance. This includes a comprehensive analysis by the IT team focused on various alerts related to the APM monitoring system.


Post-Implementation Stage of AIOps

During this phase, the testers select performance testing scenarios by seeking help from the IT & infrastructure teams. This stage acts useful towards better decision-making carried out by the business & development teams.

After implementing AIOps, the IT support team gets to prepare curative automated scripts for handling the peak usage of various system resources. At the time of performance test execution, the testers are notified regarding dynamic errors, which are carefully resolved by the IT team’s scripts.

Hence, system resources are very well managed; therefore, the testing team can completely dedicate themselves to performance testing activities. It is essential to understand that even after implementing AIOps, the testers’ capabilities are utilized from time to time per system resources. 

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How to Effectively Improve E-Commerce Testing?

The emergence of e-commerce has indeed transformed the way people shop. There is serious competition among e-commerce websites to deliver consistent performance, or else their reputation might dwindle. If you observe closely, the e-commerce business is established on varied software applications and mobile apps. The global e-commerce market was valued at USD 9.09 trillion in 2019; it is forecasted to advance at a compound annual growth rate of 14.7% during the period between 2020 and 2027. This impressive growth rate is supported by crucial aspects of quality functionality, including robust test management.

Test automation has taken over as dependable assistance that helps in the creation of robust test cases. You can count it useful as it supports faster time-to-market and spots essential changes within the e-commerce application.

The following write-up will offer a clear picture regarding the practicality and importance of e-commerce testing. Also, different ways to improve the testing of e-commerce apps are listed exhaustively.


ImpactQA - E-Commerce Testing ImprovementsSoftware Issues Cured by E-Commerce Testing  

Currently, most of the software testing services available in the market deal with e-commerce applications. To judge the effectiveness of e-commerce testing, it is essential to learn about the issues that can be corrected by its implementation. Below mentioned are the primary problems associated with e-commerce applications which can be cured by active testing practices:

Goods Not Located 

Site visitors do explore the items thoroughly before making the final purchase. If your e-commerce application has sluggish search functionality and slow loading speed, this can undoubtedly upset potential customers, impacting the conversion rate.

Shaky UX 

We cannot ignore the fact that UX does rank as a critical aspect that impacts potential customers’ choices. As an example, a distorted service toolbar will make the user think that the online e-commerce website is bugged. This influences the credibility of the e-commerce platform. Remember, customers, are picky about layout issues at the checkout pages that require them to enter their card details and other personal information.

Inability to Order Goods 

This issue is primarily related to the shopping cart functionality. Consider a case when the customer has found his/her favorite product but cannot apply a discount coupon, or add/remove an item from the cart. This can also turn into a security issue when the transactions are bugged that involve a customers’ banking data.

Deceptive Results 

When you access website analytics, you learn about useful insights such as website traffic, sales conversion rate, customer acquisition cost, average order value, and a lot more. However, when the analytics are deceptive, your business will suffer to acquire a factual basis to examine and improve sales, marketing, and other vital business strategies.

Also Read: Top 10 Ways APIs Can Benefit Your E-Commerce Business

Methods to Improve E-Commerce Testing 

Deployment of Test Automation 

To implement test automation, you will require a perfect blend of resources, strategy, and scripting. In simple words, test automation is an effective way to ensure faster time-to-market. Besides, this software testing methodology helps in reducing the cost of ownership as time passes. For the development of an e-commerce website, several iterations need to be tested separately. With automation testing deployment, you get to save time and working cost, mainly when both the web and mobile versions of the website are tested simultaneously.

 ImpactQA - E-Commerce UI & UX

UI Functionality

It is necessary to tap crucial customer areas in order to test and update functionalities. Such a methodology covers testing all critical areas of your e-commerce website that allows the user to interact. For instance, the landing pages, shopping cart, categories, order form, search bar, etc., need to be tested for their UX design. Proper testing is a benefit as it helps you understand how it can drag potential customers. Furthermore, you must also focus on the font, font size, typography, color, wish list, etc., which need to be tested to check the site’s responsiveness.  

Regression Testing 

These days, the crowd comprising e-commerce visitors are full of expectations. The online shopping rate has surged in the past few years since e-commerce services have upgraded security measures, especially with their checkout pages. Regression testing is a trusted method to uncover faults by bringing about several changes. If you consult any well-established security testing service, they will explain how regression testing is useful for e-commerce apps. This test’s implementation doesn’t hamper the functionality, even when the testing environment undergoes continuous altering.

Cross-Platform Testing 

Considering all the practical possibilities, it is an expensive affair to create an e-commerce test environment. The presence of multiple platforms is one of the primary blockages of this operation. As a solution, cross-platform testing is a smart way to get rid of this hindrance. With e-commerce websites, cross-platform development comes with cross-browser adaptability, meaning users can securely access the site on multiple platforms and browsers. Therefore, updated automated tools for conducting performance testing should be part of the bigger plan.  

Mobile Platform Upgrade

In today’s time, people are more inclined towards internet browsing via smartphones. This has triggered the emergence of a mobile-first approach during the development of an e-commerce application. Testing the responsiveness of the software design covering all valid screen sizes is a must. Moreover, if you provide mobile users with a different version of the desktop application, it is necessary to test that separately.

Performance Check & SEO Friendly Behavior

E-commerce testing also involves checking the performance traits of your website or application. The correct performance testing measures based on vital parameters like loading speed, website traffic load tolerance, data transfer rate, uptime, error messages, etc., should be conducted. Furthermore, for improvised e-commerce testing, you need to assess whether your website is experiencing augmented search engine visibility. This can be achieved by deploying search engine optimization (SEO) techniques to boost website performance. This method involves the testing of SEO facets such as meta descriptions, title tags, image alt tags, URL structure, etc.

To keep the e-commerce websites under check, testing activities are a must. The pointers mentioned above highlight the prime issues and methods of improvement for different e-commerce applications. For precise software upgrades and functionality checks, you can consult any of the talented software testing companies like ImpactQA. It is a renowned software testing provider capable of assisting you with e-commerce testing and associated operations. Reach out to us and fulfill all your software testing needs under quality supervision.

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How is ImpactQA Revolutionizing Software Testing Industry in this Modern Era

Regardless of the industry, you belong to, the role of technology and its various tools have become an important aspect. In order to acquire higher returns on investment, the software is essential to carry out tasks in a smooth manner. For every business that deals with the development of applications, software quality should be the prime focus. To upkeep this requirement, you have numerous software testing & QA companies which make sure your applications are structured in a full-proof way.

ImpactQA is a leading software testing company that has been showcasing its expertise in the industry for almost a decade. Over the years, the company has smartly adapted to the latest technology trends and business needs to maintain its shining status. It wouldn’t be wrong to say that ImpactQA has been at the foremost of revolutionizing the software testing industry with the active incorporation of certain modernized testing methodologies.

This write-up offers a clear insight towards the contributions put in by ImpactQA within the software testing industry. Let us try to focus on some of the prime techniques that have proven supremely effective:




Digital Transformation

As per the statistics delivered by the World Economic Forum, the market for digital transformation is expected to hit $100 trillion by 2025. ImpactQA has been sound and aware of the changing trends and has utilized digital transformation to augment its software testing suite. The company has been a step ahead with its digital transformation consultancy that offers new digital features that work to polish important features like flexibility and agility of the QA processes.

Over the years, ImpactQA has been supportive of major digital upgrades that have proven effective in pulling more clients from the global front. The company has been pushing its limits in increasing its technology pool with an aim to explore innovative techniques.


Shift towards Performance Engineering

The usefulness of performance testing to assess operational ease for applications is necessary for almost all enterprises. In 2020, the role of performance engineering is slowly gaining higher prominence than performance testing methods. Based on this structure, you get to conveniently evaluate customer experience that helps in better commercial viability.

ImpactQA is among the top software testing companies in the USA that have successfully implemented performance engineering to gauge product performance. In the near future, the company wishes to expand the role of performance engineering within its service offerings by laying more focus on vital elements like the realism of use, customer value, and configuration quality.


Enhanced Role of AI/ML

Artificial Intelligence (AI) in software testing is useful in making the testing efforts grow smarter and efficient. It should be known that AI and machine learning, when applied to test operations, tend to improve problem-solving features. Hence, you get a better hand at automated steps to benefit from advance testing.

ImpactQA has been an ardent follower of AI in software testing. The company has understood its value towards time conservation due to the replacement of manual testing with upgraded automation testing. Moreover, ImpactQA has further strengthened its test suite due to the availability of log analytics, defect analytics and forecast features, all thanks to the involvement of AI.



Cloud & Software Testing Operations

The world is shifting towards cloud computing services as they offer a better and cost effective option. Proper involvement of cloud in software testing allows you to receive in-depth information associated to application, infrastructure, and network.

ImpactQA has built a well-structured arrangement for cloud computing merged with AI-based testing service. The availability of such a refined and modern software testing option permits your applications to run smoothly. The methodology precisely includes deploying the application on the cloud that allows the measurement of dormancy in the best possible manner.

You can connect with ImpactQA for gaining more knowledge about its software testing approach. Each of your queries will be addressed by the professionals for better clarity.  

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Performance Testing Vs Load Testing: Spot Common Differences

One of the primary issues within the software testing industry is the confusion that prevails around performance testing and load testing. It is believed that both are either the same or function as a substitute for one another. To be clear, performance testing helps in the assessment of a system’s performance, whereas, load testing evaluates how the performance varies as different demands are piled on the system.

We will try to form a clear understanding of these two test variants and how they differ from each other. This write-up would prove beneficial in clearing the perplexity surrounding performance testing and load testing.

Introduction to Performance Testing

If we wish to define performance testing, it can be called as a canopy for both stress testing and load testing. It can be referred to as a form of testing that actively validates a system’s performance and its response under stress. You can easily understand performance testing through the below-mentioned pointers:

  • Performance testing helps to verify the error rate and its response when introduced to higher loads.
  • This test variant works to evaluate the average response time for different requests.
  • With the implementation of performance testing, you can analyze how the application behaves when introduced to different types of loads.


Usefulness of Performance Testing

The performance of an application needs to be assessed without any delay. If you deliver an application without a proper performance test put in place, it is susceptible to reflect quality issues. With the implementation of performance testing for an application you can acquire the following aspects:

  • Stability analysis for the concerned software or application.
  • Assess the behavior of the application when treated at a normal load.
  • Scope to improve performance by customizing configurations.
  • Spot performance barriers as early as during the development cycle.

Introduction to Load Testing

The purpose of load testing is to identify the behavior of the application under familiar loads. Hence, it is important to be aware of the load you wish to apply for the application. After fixing this, you can conveniently conduct load testing for the concerned application.

Typically, load testing is initiated in a condition where additional requests strike the application under a specified time gap. Further, you get to increase the count of requests to reach the expected load related to the application. At this stage, testing experts make sure to strike the application for a few more minutes with the purpose to recognize potential CPU or memory issues.



Usefulness of Load Testing

The benefits associated to load testing should be understood for better insight into this comparison. Some of the prime aspects of load testing are as follows:

  • Load testing allows you to acquire a better perceptive about the expected load that hits the target application. This action is useful to understand the application’s limits and smartly avoid the risk of failure.
  • With the implementation of load testing, you get to learn better about CPU time and memory usage of the application. Such data is essential in evaluating crucial factors such as the stability and soundness of the application.
  • The organization is allowed to take necessary precautions for scaling the application considering the count of requests per minute slowly reaches the expected limit. With such precautions, you get the opportunity to lessen the risk of failure.

Differentiators between Performance Testing and Load Testing


  • Performance testing is called as a superset of stress and load testing
  • Load testing is basically a subset of performance testing


The range of performance testing extends from load testing, capacity testing, stress testing, volume testing, spike testing, reliability testing, scalability testing, etc.

The range of load testing is slightly contracted in comparison to performance testing; it includes endurance testing and volume testing.

Load Limit:

  • For performance testing, the load limit is both below and above the threshold point of breakage.
  • For load testing, the load limit is restricted to the threshold point of breakage.

Problems Detected:

  • The deployment of performance testing helps detect performance bugs such as runtime bloat, optimization range, speed issues, etc.
  • Load testing helps you focus on load balancing issues, bandwidth issues, capacity issues, bad response time, etc.

Based on the above pointers, it can be concluded that both performance testing and load testing serve a different purpose within software testing. Their roles are imperative and are directed at benefiting organizations in refining their product offerings. To learn more about the differences between performance testing and load testing, you can connect with testers at ImpactQA.

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API Testing and Steps to Do It

To simplify it for the readers, API testing is primarily aimed at highlighting potential bugs and errors within a software. According to testing experts, API testing is seen as one of the tricky aspects of the software testing process. This arrangement ensures that the digital product is operated for examining prime functionalities and validation fine quality before its actual release in the market.

At present, there are several components to API testing that are operated through single or multiple endpoints to check for security, performance, functional accuracy, etc. Since API testing focuses more on the testing of data responses, security, business philosophy, and performance restrictions, its implementation is a must for any software or application.




How to Perform API Testing?

The first and foremost step to API testing is the creation of a testing environment. This involves a smart setup using the necessary parameters planned around the API. The following steps give a brief outlook on how to perform API testing:

  • After finalizing an API testing environment, initiate an API call to ensure nothing is wrecked before comprehensive testing is brought into action
  • The next step is to combining application data and the API tests, to examine whether the API performs smoothly against familiar input configurations
  • As per experts, the convenient way to conduct API testing is by structuring a strategy based on Martin Fowler’s testing pyramid
  • Based on this pyramid arrangement, you get to assemble a wide range of API tests placed over a firm base comprising of UI tests and unit tests
  • This testing strategy is considered complementary since it permits you to test early. Therefore, while assessing the application at the lower levels, you can fail quickly and spot defects early by recognizing their source.


Also Read: API Testing & Its Benefits Linked to Development Process


Types of API Tests & Their Usage

We now talk about the different types of API tests and their operational specifics.


Contract Tests

The most common type of API test is a contract test. This particular type of testing is associated with the examination of the service contract, that is, PACT, Swagger, RAML, etc. The primary motive of the contract test is to assure that the contract is corrected framed and can be used by the client.



Performance Tests

Typically, the operation of performance testing occurs at the end since it requires expert skill sets, hardware, and additional cost. However, conducting performance testing in the initial stages of the process permits you to spot performance-specific defects before entering the full regression cycle.

If you have obediently followed the testing process to this stage, it would prove beneficial as you now possess all the fundamental test cases required to conduct performance testing.


Component Tests

You can view these tests as unit tests related to an API. This covers individual methods present in the API to test any one of them in a remote manner. To be precise, you can create component tests by forming a test step related to each resource that is present in the service contract.

As a simplified method, you can make component tests by absorbing the service contract and permit it to generate the clients. Furthermore, you now data-drive every individual test case comprising positive and negative data with a purpose to authenticate the responses.


Security Tests

The usefulness of the security test is to eliminate any significant security vulnerabilities. If not treated on time, it can cause evident damage to reputation, and finances. There are possibilities that a user can intentionally take advantage of your APIs, spot vulnerabilities and use them for his/her benefit.

As a safety measure, you have to construct test cases that try to replicate different versions of nasty attacks. This way you can influence existing test cases that assist in operating penetration attacks.

API testing requires a methodical approach that should be carefully prepared by testing professionals. It would be smart to get in touch with software testing experts who are well versed with a step-by-step guide to API testing. ImpactQA is a trusted QA & software testing company that has been carrying out API testing services for almost a decade. You can easily seek guidance for developing a testing model targeting APIs and other aspects related to software.

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IoT Testing Tools and Testing Approach

Internet of Things or IoT did emerge as a futuristic technology that gave industry leaders a prospective viewpoint. At present, you can easily spot the dominance of IoT and its devices ranging from software, computerized machines, actuators, and a lot more. The role of the internet is imperative for operating these devices since it enables data transfer automatically without any human interference.

In simplistic terms, an IoT device is capable of developing a smooth communication with other devices to accommodate greater convenience. According to Gartner, more than 6.4 billion IoT devices were active in 2016; the count is expected to cross 20 billion by 2026-end. Hence, the importance of IoT testing involving devices has enhanced to ensure system performance and security.

These days, popular technology companies along with other effective business moguls have understood the usefulness of IoT testing. To execute this practice, you need to focus on the best IoT testing tools as well as the testing approaches put in place.

Top IoT Testing Tools

While making a selection for the perfect IoT testing tool, it is essential to stress on certain vital parameters. These parameters are company-specific and do vary for small-, medium- and large-sized enterprises. Here are the top five testing tool options for skillfully integrating workflow for your IoT products.     


This is a well-liked API testing platform created over an open-source JMeter. The popularity of Blazemeter has been long-lived. It makes use of a personalized language to write tests that can later be transformed into JMeter format. The benefit of Blazemeter for conducting IoT testing is managed with the help of the MQTT JMeter plugin.


Gatling is marked as a load testing tool for applications and websites. Interestingly, this IoT testing tool offers an enterprise version termed as Gatling Frontline. It is known to support continuous test process management along with advanced dashboards to carry out analytics and reporting. For carrying out IoT testing, Gatling makes use of an MQTT extension.


It is the oldest and most famous testing tool that is admired within the DevOps communities. LoadRunner is known to support some of the most comprehensive sets of protocols to test all kinds of software applications. This testing tool actively supports both CoAP and MQTT, making it a more resourceful instrument for IoT devices.   


IoTIFY is a unique testing tool that focuses on IoT simulation together with load testing. Therefore, IoTIFY conveniently offers numerous features including battery modeling, GPS coordinates in real-time, and device-to-device interaction. Interestingly, with IoTIFY the overall test setup is effectively run on the cloud.


This python-based tool is ranked higher among IoT testing tools open source. The primary purpose of Locust is to offer scalability through high-end load testing distributed over diverse machines. Furthermore, the benefit of writing personally scripted protocol plugin with Locust allows efficient IoT testing.

Test Approach for IoT Testing

Below mentioned are the prime IoT testing approaches you can follow to ensure the supreme functioning of various IoT devices.


Connectivity does play a vital role while ensuring IoT testing for the involved devices. Under this, the concerned system needs to be available at all times and should possess flawless connectivity by the collaborators.

To be precise, it is essential to ensure that the transfer of data, as well as task update from the devices, is seamless whenever the connection is active and running.


It should be remembered that IoT is purely data-centric since all the connected devices operate on the available data. Hence, there are possibilities that data can be read or retrieved at the time of transfer.

As a result, it is important to check whether or not the data is protected whenever it is transferred between different devices. Security is one of the crucial IoT testing approaches that are abided by most organizations in today’s time.


While discussing the performance-based approach for IoT testing, you need to confirm if the system is flexible enough for the whole company. Performance testing check is mainly carried out by simulating devices from diverse locations. Moreover, different network technologies are also incorporated for receiving better results.

The extensiveness of the Internet of Things (IoT) has assisted the birth of several life-changing technological models. The role of IoT testing is basically to ensure the quality and working strength of IoT devices that are part of well-organized systems. To learn better about IoT testing operations, you can talk to knowledgeable professionals at ImpactQA. For each of your queries, these experts will serve you with precise answers and solutions.    

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What are the Ideal Methods to Plot Performance Testing Scheme?

The usefulness of performance testing as a non-functional software testing technique permits to concentrate on system performance at a particular load. To deploy software performance testing schemes there are certain parameters that need to be checked.

Many people think that performance testing is only conducted to find system bugs and error. However, with appropriate measures to performance testing, we can surely get to assess other aspects of software such as speed, stability and scalability.

What is the Purpose of Software Performance Testing?

The need for software performance testing arises due to a lot many factors, including:

  • At the time of load testing for a software to check the running of the application when several users access it
  • To identify and resolve issues associated with system bugs and errors
  • Process load management to check whether the software or hardware requires any improvement before it is released
  • To check your software or application on diverse KPIs such as load time, memory uses, response time, etc

Currently, businesses believe that delivering an overall digital experience is far more than testing for page speed or load times. Hence, the incorporation of performance testing is viewed as a major task for software testers because they are motivated to implement a

multi-layered testing approach.

ImpactQA - Software Performance Testing

How to Plan Performance Testing Scheme?

For creating an ideal model for software performance testing, you need to abide by certain methods. Each of these practices is carefully assessed by expert testers and recommended for enhancing the overall performance testing process.

Chalk Out a Complete Test Strategy

You need to start with a comprehensive test strategy for highlighting the types of tests that are necessary for improving the application. It should be understood that performance testing does require a high level of planning and research before the final execution. Furthermore, it is essential that the testing strategy must strictly reflect the real-life environment.

Identify the Performance Bottleneck

Your experience and skill as a tester do not come into play since you cannot guess when the next performance concern might pop up. Therefore, whenever a problem arises, it is imperative to initiate software testing with individual components and not stress on the overall module. The process can be time-consuming but can save you a significant amount of money.

Focus on Think Time

To be precise, ‘think time’ is basically the measure of time pause which a user takes while working on your application. Typically, think time occurs whenever a user pauses for checking out the information that plays across the screen. We can view this time lag as a gap when a customer restricts his/her actions to verify the payment details. While structuring test scripts, you can easily repair this time as a fixed time that occurs between two subsequent requests.

Record Previous Experiences

The task of spotting performance issues within the software can take time. It is recommended to conduct testing using the same conditions and analyze whether or not the problems exist. With a systematic run of continuous observation, you will be actively assisted to construct a filtering system for tracking down performance issues. It is believed that a dedicated observer is the one who aims to analyze his/her own testing decisions during a specific time period. Furthermore, they use this experience to reach the actual cause of the problem.

Concentrate on Baseline Tests

Time management is one of the vital aspects of a performance testing scheme. It is important to concentrate on baseline tests since approximately 85% of the issues are highlighted during these tests. Testers can effectively identify and segregate problems at the time of baseline tests because it might get tricky to isolate them later.

ImpactQA - Performance Testing Schemes

We need to understand that system performance testing is an important division of the software testing life cycle. It proves effective in enhancing customer satisfaction as well as to lower the threats related to the failure. You can readily make use of the above-mentioned tips for creating an ideal performance testing scheme for your business. If you seek further assistance with the operational knowledge, feel free to connect with ImpactQA, a leading provider of performance testing services.

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