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5 Common Test Automation Errors to Avoid

The adoption of test automation has experienced a significant upsurge. This can be accredited to the growing dependency of organizations to test applications and other systems regularly.

But, surprisingly, not many companies have ranked successful in reaping supreme benefits out of test automation. The presence of errors within the test automation space can be seen as a major roadblock for most enterprises. After discussing with professional experts and consultants, here are 5 common mistakes associated to test automation together with methods to correct them.

Switch to Automation Testing

There is no doubt automation is seen as a convenient method to augment testing efforts. However, enterprises and test experts consider it a replacement to manual testing and therefore fail to achieve adequate testing and coverage. Preferably, automated testing should be viewed as a method to develop manual testing.

Resolution– Prepare a checklist of features that can be automated for testing. For instance, you can test a web page which consists of incoherent fonts. Under this, you should automate only that part of a script that analyzes errors within the fonts.

Record & Playback for Test Scripts

The use of record and back for framing test scripts is managed by most testers.  However, the record characteristic needs to be viewed as a step to create a skeletal script. In simple words, a successful automation testing requires customization of the generated script.

Resolution: Script Customization covers data parameterization, that is, the inclusion of checkpoints for substantiation. Further, it can also involve script modularizing for permitting several testers to operate at a particular time.

Overlook Validation

Enterprises and test engineers often make use of test scripts that hold no validation. There are cases where test scripts do require validation for carrying out a certain action. For example, the test automation of a website that possesses a login page. In this scenario, you need to validate whether or not the login has been successful.

Resolution- Script validation can be done by using checkpoints. Checkpoints help detect web objects, page parameters, or perhaps some text on the page. Checkpoints should be placed at as many points as possible.

Restricted to Visible Validation

Another issue is when testers are only confined to validate visible objects and avoid other elements during application testing.  It is quite clear that validations should never be limited to visible elements like button, page text, etc.

Resolution– Do provide validations that highlight the completion of the process. For instance, if you are managing an order entry system for placing an order, it is a primary requirement to query the database for ensuring the order was successfully saved.

Sidelining Maintenance

Test automation is not at all a simple task. Similar to numerous other aspects of software development, test automation is iterated on and maintained as time passes. It is quite common to see teams roll out test cases with a purpose to communicate the message that the automating process is completed. With the evolution of particular software, there is surely an upgrade within the test cases as well as the automation code.

The reality is many testing experts dealing with test automation don’t find the need to maintain automated scripts. Many of them are known to completely overlook maintenance for longer periods. The repercussions of such a decision lead to deteriorating test automation performance, code coverage, and software quality.

Resolution– Do update unit tests along with automated testing scripts once the software starts to evolve. Furthermore, do not avoid the task of revising automated test scripts. It is surely a fruitful action to plan out dedicated time towards the maintenance of automated tests.

There is no denying the fact that the majority of the testers or QA companies might have faced one or many of the above-mentioned mistakes. This write-up presents a precise solution to issues circulating test automation for improving testing efforts. It is recommended not to be ignorant and get in touch with software testing professionals to impart additional knowledge and assistance. You can connect with skilled testers at ImpactQA who can deliver the right solution to test automation concerns.

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5 Tips to Structure DevOps Testing Strategy

The sole purpose of DevOps is to automate and simplify the overall software delivery process. At present, most organizations focus on structuring a booming DevOps testing strategy that initiates the adoption of agile best practices related to Continuous Integration (CI). This operation involves developers to check code within a shared repository multiple times in a day. Every check-in is later verified using an automated build, thereby, permitting teams to identify errors and potential conflicts.

Identify the Correct DevOps Testing Arrangement

With most DevOps projects, the aim is to automate the maximum number of manual processes falling under the software delivery process. It is essential to keep track of major roadblocks within the DevOps pipeline that can lead to slow deployment. This includes error-prone manual processes like exchange actions from a development group to a QA group. Such handoffs point out to lack of shared possession of the end product, simply opposing to the basic development and agile testing methodology. This is the reason why testing involving an agile DevOps assignment is conducted by the entire team comprising of developers and testers. Talking about the DevOps model, the testing operations are managed continuously, and if needed even after the applications enter the production stage.

How to Create a DevOps Testing Approach?

Creating a suitable DevOps testing strategy requires a careful assessment of the application or software. Further, there is a blend of several important facets that should be put in place to plan a proficient testing arrangement.

Let us focus on five key tips which help structure a successful DevOps testing strategy.

Prioritize Soft Skills

One of the prime challenges faced by testers is the adoption of DevOps centers focused on soft skills. In simple terms, DevOps does require testers to get involved in multiple testing phases during the software development cycle. Therefore, you need to flex communication among testers and further merge skills which they haven’t essentially used in the past.

For instance, while managing a DevOps environment, testers are required to attend a planning session to communicate freely with developers about how & what needs to get tested.  

Concentrate on Fundamental Coding Skills

Apart from better soft skills, testers are also required to focus on basic coding skills. This is important to uplift their great role in the whole software development lifecycle. Talking about DevOps, testers are responsible to maintain the quality of the product as well as the process quality so as to successfully launch that product in the market. As a fact, testers are like doorkeepers who move the software from one space to the other.

Some of the prime responsibilities of the testers about fundamental skills are:

  • They must check build logs, establish proper functioning of automated tests and comprehend how the software will operate at a much-rooted level
  • Furthermore, testers should eagerly get involved with the delivery process to guide the software to pass the development lifecycle at a faster rate. This action leads to produce a superior quality end product

Emphasis on Test Optimization

For controlling a swift DevOps space, test automation is a basic necessity. In these modern times, there is a need to think vast and allow crucial changes to enhance test automation processes. You need to optimize the overall testing strategy for reaping satisfactory results.

According to experts, solely stressing on test automation without any measures for optimizing the DevOps testing strategy can limit the efficiency of the selected tool. On the other hand, if test optimization actions are systematically managed, they help enhance efficiency by activating the correct collaboration of unit, integration as well as functional automation in harmony with manual testing.

Timely Completed Automation

Delaying to address a problem can prove dangerous in the long run. Hence, you should not let a problem worsen in the DevOps world as it can escalate quickly. Such a scenario can arise if you run numerous manual tests instead of managing an automated approach.

To cure this situation, it is sensible to implement frameworks that authorize automated tests to get completed before the software passes onto the production phase. One way to achieve it is through layering a combination of Test Driven Development (TDD) along with Behavior Driven Development (BDD) for ensuring testability, greater efficiency, and advance collaboration.

Cloud Utilization

For several organizations, DevOps heavily depends on cloud infrastructure which allows practitioners to stipulate and request resources. There is no compulsion for the cloud to be Amazon Web Services. The creation of an internal private cloud is very well received.

There have been cases when enterprises planning to uplift DevOps have struggled with legacy infrastructure that at times avoids interfering with advanced tools. However, in most cases a transition like this transforms as a requirement for the successful adoption of DevOps testing strategy.

This write-up presents a profound analysis of the importance of a correct DevOps testing strategy. The pointers mentioned above are of great help that streamlines the testing process and ensures a hassle-free action for software delivery. You can consult professional testers at ImpactQA for receiving better insight about an effective DevOps testing strategy.

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Top 10 Technological Trends Transforming QA Testing in 2020

The market for IT products at the global level has been revolutionizing with the involvement of thousands of innovative tech enterprises. To implement newer technological trends, software testing is highly essential, especially, when it comes to the development process. It is primarily through software testing we get to validate the quality of an IT product, thereby, managing fast releases.

Currently, the field of quality assurance testing is mainly concerned with the incorporation of different approaches to QA methodologies and testing, which is expected to get more demanding in 2020. Such a situation is likely to arise as a result of a higher appeal for the IT space involving diverse industries.

These days, most enterprises are focused on fulfilling customer needs, product creation under well-defined terms and receiving faster ROI. Therefore, structuring useful test strategies, implementing upgraded software testing techniques and possessing multifaceted performance testing programs are marked as crucial facets within the QA testing market in the coming years. 

To understand the technological shift within the QA testing arena, let us discuss the major trends likely to receive prominence in 2020.

Big Data Testing

Shortly, Big Data is projected to become a vital component, thereby, impacting almost all business sectors. Large volumes of data are managed across global companies that cover useful information. Quality assurance concerning big data activities will gain higher prominence in 2020. In simple words, effective data investigation and QA solutions would prove effective in helping businesses make better decisions and execute booming marketing strategies.

Automation Testing

The range of automated testing operations across the industrial setup is fairly restricted (~20%). Hence, there is a greater scope of enforcing automated test cases by companies. With repetitive tasks brought in action, we can cover a bigger testing array without much hindrance. Automated testing is highly effective and quick, thereby, safeguarding the quality of the product or service.

Mobile Testing

The role of mobile applications in our lives is soon going to escalate in the coming years. Testing a wider range of devices, operating systems and platforms is seen as a vital step for any mobile QA process. Also, the launch of hundreds of newer mobile devices involving advanced technologies will enhance the scope of testing under real-life scenarios. Professionals will benefit through the incorporation of mobile testing as they get to examine the app’s loading time, performance and compatibility issues.

IoT Testing

In 2020, it is estimated that the count of connected devices will get doubled. The growing demand for smart solutions will require IoT testing methodologies at its best. For instance, diverse communication protocols, operating systems, building connection utilities, and other sophisticated tools would require attentive software testing. Among the topmost services associated with IoT testing, real-time investigation of different IoT gadgets and solutions will take the leading spot.

AI testing

Being one of the latest trends, Artificial Intelligence testing has proven to be an effective operation within the QA community. The purpose of AI testing is associated with improving test cases and QA frameworks. With the implementation of AI, testing professionals get to identify possible risks and further manage correction measures. In the past few years, AI testing has opened the door for newer opportunities that have motivated companies from the QA space to perform better. The introduction of intrinsic neural networks, together with speech and gesture recognition has transformed the world of testing all thanks to Artificial Intelligence.

Blockchain Testing

This is the era of cryptocurrencies be it Bitcoin, Ethereum or any other digital currency that is seen as a smarter way of investment in today’s time. The use of digital money has been readily agreed by numerous companies across the globe, leading to thousands of transactions happening each day. Blockchain testing is a systematic measure that permits the execution of smart contracts and streamlines financial operations in a quick and protected manner.

Usability Testing

It is a fact that low-ranked usability and design can negatively impact the user experience. This is a major scare of brand loyalty which should be immediately checked with the help of Usability Testing. The testing operation ensures the real user’s interaction with the product to manage direct input. Such a step is listed among the vital procedures concerned with app development.  


When it comes to applications, safety analysis is the foremost step that needs to be abided. For instance, financial applications that control the user’s personal data do require timely updated advanced safety methods. The cyberspace is mostly susceptible to newer threats and risks; therefore, the solutions concerning the safety of users’ personal information needs to be structured wisely. The proliferation of security tests in 2020 is going to become an actual thing. With cybersecurity turning more complex and sophisticated, companies managing online services would strive harder to get their systems secured. 

QA Testing has reached its epitome of greatness as technological assistance has captured the global industrial dome. Looking at the above-mentioned trends and their horizons, it is surely going to benefit companies in offering quality IT products and services. For further information about extended trends influencing quality assurance, you can connect with experts at ImpactQA.

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API Testing & Its Benefits Linked to Development Process

API or Application Programming Interface can be defined as a set of procedures, tools, and protocols required to build software applications. Essentially, an API helps to specify how software components need to interact, which makes it highly important to run a test. The purpose of API testing is mainly to determine whether or not they are meeting the expectations related to performance, reliability, and security.

It won’t be wrong to tag APIs as the focal point of software development that works to connect and transfer data across distinct systems and applications. API testing can greatly enhance the efficiency of your already existing testing strategy and thereby fasten the delivery of software. Although many people confuse API testing with UI testing, it primarily highlights the use of software for sending API calls, drawing outputs and recording system responses.

What makes API Testing Essential for Business Processes?

Overall, APIs are known to raise the value of an application. This is why it is believed that to strengthen the establishment of business processes, APIs need to be correctly directed. They permit application content to be integrated efficiently, proving highly advantageous for enterprise operations.

For instance, if an API breaks due to a lack of error detection, the threat not only brings down a single application but might even impact the overall chain of business processes associated with it. Hence, API testing ensures in-depth investigation useful enough to safeguard the application and related business processes.

Another crucial role of API testing is linked to the investigation of applications having varied API functionalities to expose pivotal failures. The global API testing market is estimated to advance at a CAGR of over 19%, in terms of value, until 2024. Such growth can be attributed to the swelling demand for API monitoring concerned to the production industry, set to showcase higher statistics in the next five years.

Different Tests Related to API

  1. Functional Testing: By entering the correct input parameters under API testing it becomes quite convenient to test the functionalities. A response code can be acquired within a few milliseconds, thereby, making it quick and efficient.
  2. Security Testing: It becomes suitable to assess whether the data is coded in HTTP and required any form of authentication. This segment also focuses on penetration testing.
  3. Discovery Testing: With the incorporation of API testing, developers are benefited by identifying APIs around which the resources are not unprotected.
  4. Usability Testing: APIs can be easily hit on various platforms to test the usability of particular software.

API Testing & its Contribution to Development Process

To reap superior benefits of API testing, it is essential to include them in TDD or test-driven development process. This way the engineering teams are benefited in several ways which ultimately passes on as quality services impacting the customers.

Below mentioned are the three imperative ways through which your organization can benefit by amalgamating API tests with the development process:

Test Reporting

For holding up the quality of the product along with customer trust, it is necessary to assess all the bases concerned with possible software failures. The operation of API testing simultaneously with development can prove beneficial in revealing issues with the API, network, server, and other services. 

While the software rolls into the production phase, you will get an opportunity to create more tests to supply new and modified use cases. These tests in collaboration with the ones created during development work effectively to tackle almost any breakdown scenario. We can rate it as one of the significant benefits of API testing that lessens the count of support tickets to customer support and QA teams.

Test Caliber

It doesn’t make sense if you wait for the development process to finish to initiate your API tests. This way you’ll end up building them in a biased way leading to favorable test cases. As soon as the API is built, your focus rests on its performance and how to dodge cases of failure. 

Moreover, similar to iteration for software at the time of development, carrying out iteration on API tests would eventually make them highly comprehensive and stronger. As a result, the product quality will enhance in the long run with reduced chances of break down. 

Test Recycle

About the benefits of API testing, incorporating them in the initial stages will prove profitable as a majority of your tests are already managed. For example, Runscope permits you to reprocess the same tests through multiple environments and share tests.

Interestingly, your QA and dev teams create tests and can utilize them in staging environments. Later on, the DevOps teams can make use of the same tests to operate them on a schedule during production to administer those used cases. In short, reusing API tests during the development lifecycle supports collaboration within teams and delivers an accurate and extensive testing composition.

API Testing Merged with CI/CD & TDD

The act to integrate restful API testing with your development process can be managed in several different ways. For instance, numerous organizations include API tests within their continuous deployment (CD) and continuous integration (CI) processes clutched to trigger URLs or even direct plugin using an open-source automation server like Jenkins.

When an API test leads to failure at the time of CI or CD, the process comes to a halt indicating the API issue needs to be stabilized before the build is finished. The inclusion of API tests within this process offers greater assurance to both product and engineering teams mainly related to the coverage of all the bases before the product is released to the customers.

The benefits of API testing here also permits you to create tests specified to an API during the development process. This is almost similar to the process as to how we create other software in TDD. In simple words, test run new endpoints while they are being created during the development and later activate them to run within the CI/CD pipeline. To know more, you can get in touch with testers and developers at ImpactQA, who are skilled enough to impart necessary knowledge associated with API testing.

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8 DevOps Trends to be Aware of in 2020

  • Automation will become the major focus
  • Shifting attention from CI Pipelines to DevOps Assembly Lines
  • Rise in Artificial Intelligence (AI), Data Science Boost
  • Concept of “everything as code”
  • Hype in using Server Less Architecture
  • Automation through AI and Data Science
  • More Embedded Security
  • Kubernetes has evolved significantly

According to a collective study, DevOps market generated 2.9 billion in 2017 and the market is expected to reach at $6.6 billion by 2022. DevOps has become a key focus and has shaped the world of software and many experts predict that DevOps is going to be the mainstream and is going to reach its peak at 2020.

Enterprises are not only showing interest in DevOps but are gradually adopting DevOps-related practices and technologies. As per Hackernoon article citing Statista, there was a 7% boost in DevOps adoption from 2017 to 2018. DevOps software market is projected to grow from $2.9 billion in 2017 to $6.6 billion in 2022 (source: estimates from IDC).

DevOps Projected Growth 2019

Fig: Google trend is shown for “DevOps” and a hypothesis of its estimated growth in 2019.
DevOps offers the following benefits:

  • Fast response towards an amendment
  • Offers great speed and makes the security arrangement more agile
  • Establishes a perfect channel of collaboration and communication
  • Fast identification of bugs or vulnerabilities in the code
  • Team can effortlessly put their sole attention on other critical things instead of focusing on security features

Many enterprises are adopting DevOps and there is a boost up to 17% in the year 2018 than what was about 10% in the year 2017 (according to Statista)

Image source: Statista

Predictions of 8 DevOps Trends to be aware of in 2020:

1. Automation will become the major focus

Companies that have already implemented DevOps have seen high efficiency and faster deployments. When it comes to DevOps, DevOps automation is what we talk more about. Zero-touch automation is going to be the upcoming future. Understanding the 6 C’s of the DevOps cycle and to apply automation between these phases is the key, and this is going to be the major objective in 2020.

2. Shifting attention from CI Pipelines to DevOps Assembly Lines

The final goal of DevOps is to improve collaboration between planning and automation of the delivery procedure. It is not just about doing Continuous Integration (CI) but it is all about CD (continuous delivery). Companies are investing extra effort and time into understand about automating their whole software development process. In 2020, the attention is going to shift from Continuous Integration (CI) pipeline to DevOps assembly lines.

Advantages of Assembly Lines:

  • Powerful nested visibility
  • Native integrations
  • Fast on board and scale with “as-code” philosophy
  • Perfect CD (continuous delivery) with interoperability
  • Team-based business intelligence and analytics

3. Rise in Artificial Intelligence (AI), Data Science Boost

Growing number of Artificial Intelligence-driven apps will push data science teams to look for DevOps philosophy in their workflows. DevOps method is expected to be their prominent option in dealing with automated pipelines, maintaining, and testing multiple deployed models in the production chain.

This is going to boost further as data science & development teams move closer for high efficiency in development, deployment & managing AI & ML-driven apps.

4. Concept of “everything as code”

We cannot deny the fact that coding has now become the backbone of the IT sector. Understanding various DevOps tools and automating scripts plays a crucial role in the software development and this is going to dominate in 2020. The future of this industry depends on the technical capabilities of the developers, testers, and people of the operation.

Since, DevOps is all about easing the delivery cycle, there is a need to bring in the code which can be used to increase the software production cycles efficiency. The thought of “everything as code,” is DevOps’s built-in practice and it can be present in the SDLC to create a wave in the DevOps trend 2020. Software Testers are likely to suffer if they do not learn to code and write their test scripts.

5. Hype in using Server Less Architecture

DevOps can be reached to the zenith level with server-less architecture. This is not free of server; however, there is a cloud service which takes care of the complete architecture. This extraordinary architecture allows the software developers to concentrate focus on the “Application Part”. BaaS and FaaS are the two critical aspects of the server less architecture. By employing server-less architecture, you can save time, cut down the costs, and ensure resilient work flow.

6. Automation through AI and Data Science

The main objective of 2020 is zero-touch automation. The continuous increase of Artificial Intelligence and Data Science has become a game-changer. Various apps are fueled with AI, which is pushing DevOps teams to seek automation possibilities to discover prospects within their workflow streams.

7. More Embedded Security

With the exponential growth of security breaches and the bad impacts to the company’s reputation, cyber-security has become business imperative. In 2020, DevOps will rapidly include security.

Recently we have seen a buzz trend of DevSecOps. DevSecOps is all about injecting security first in the app development life cycle, therefore decreasing vulnerabilities and improving business reputation.

The shift to DevSecOps will also bring great collaboration in software development. It will ensure the development processes remains flawless, efficient, and effective.

8. Kubernetes has evolved significantly

Kubernetes has turn out to be the top growing container technology. Globally, technologists and CIO’s have preferred Kubernetes because of its offerings and it is expected to grow by 2020. This year, we saw the adoption of Kubernetes take off as companies of all sizes embraced containers for running cloud-native apps. In 2020, we will start to see container orchestration software replacing several old DevOps functions.

Solution- How can we help you?

Whether it is all about offering software development services or other services, DevOps has become the inevitable part of any organization. By staying up to date with the newest trends, you set your business up to get the enormous benefits from DevOps.

As an industry leader in DevOps Testing Solution, ImpactQA give holistic agile and DevOps adoption services across diverse domain segments, backed by its dedicated DevOps Continuous Testing practice. We implement a robust plan to manage both resources and testing tools in a new environment and to facilitate continuous testing and delivery.

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Top Software Testing Trends in 2019

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8 Best Practices in API Automation Testing

Application Programming Interfaces (APIs) help software development teams to easily connect and engage in end-to-end business processes. APIs are the key to web apps & services. However, these end-to-end processes can only be as high-performing as the APIs they depend on. Building automated tests for API and QA pipelines for web services is tough. Of [...]Learn More