Why is Load Testing Significant?

Load Testing can monitor the response times of the system for every single transaction during a set period of time. This kind of monitoring can bring significant information, precisely for stakeholders and business managers, who look for conclusions based on these outcomes, along with any data for supporting these findings. Such type of performance testing can also raise attention to any complexity and issues in the application software and fix these performance bottlenecks before they become extra problematic. As a developer or QA engineer, one can possibly incorporate several kinds of tests into the code checking: integration tests, unit tests, UI tests, and more. Load testing (kind of performance testing) supports testers or engineers to understand the behavior and accessibility of the application. It critically tackles the following queries:

• Do the codes show the desired performance?
• Does the fresh feature that implemented make a notable effect?
• Does the new modification in the hardware configuration execute well?
• Does the upgrading in the environment work under limits?

You may also like: 5 Core Challenges Associated with Performance Testing

Load Testing Tools

It is also significant to pick out the specific tool that best fits your business needs. Examples of these are Loadrunner, LoadView, and WebLOAD. WebLOAD works on any app using NET, Ajax, HTML5, Oracle Forms, and other technologies. LoadView computes performance in real browsers. LoadRunner an open-source tool can easily manage users at the same time.

We can use SaaS-based BlazeMeter with ease scale and run your load tests. You just need to upload your JMeter file, configure, run, and view real-time results in insightful graphs that can store data over time. BlazeMeter integrates with CI tools like TeamCity, Bamboo, and Jenkins.

Agile, automation continuous and integration are not complete without load testing. Lighter versions, Quick releases, and more automation make a good product and create a perfect working environment for engineer and developers. Load test is an inherent part of any continuous integration process. Thus, when you are setting up your automated continuous integration cycle with tools like open source Jenkins, add load testing to your workflow, and with load testing tools like Apache JMeter™ (open source) .If you require to test in the cloud, try to run your load tests with BlazeMeter.

7 reasons why Load Testing is significant have been listed below:

  • Highly Efficient — As automation testing is in the cloud, it has become more efficient and flexible resource allocation. We can even effortlessly connect several tools via distinct APIs, getting a singular view of these varied pieces means, even more, saving.
  • Detection of bottlenecks before deployment — Evaluating the part of the software or a website before deployment can emphasize bottlenecks; permitting them to be addressed prior to incurring the large real-world costs.
  • Cost Cutting — As it is in the cloud and we can run with varied tools like LoadUI Pro, you can without difficulty save your extra time and costs by creating tests that don’t involve expensive hardware necessities and that are repeatable.
  • Collaborative — We can grab all the benefits of an in-person office, with a singular view of the entire automated testing, however, without the need to be in a similar place. Cloud-based automation test also signifies that you can pick out when you are running it — Continuous testing? Or possibly any time for checking the reports? Or for load testing its best at your peak usage.
  • High productivity in short duration — Speedy results in a short duration of test cycles, quick set up, and deployment. While you are willing to continue to write your own tests, automation testing gets you up and running almost immediately.
  • Load Testing is for anyone — Anybody can potentially test this type of testing whenever he/ she needs to, but the results are crystal clear which specifically allows everybody to participate in this critical business matter.
  • Customer satisfaction — If the response times of the site are short even as it scales up to a higher audience, one-time clients will be more apt to return to.

In short, performance testing or load testing should be a major priority before releasing app or software. It should be implemented early on in software or application development so as to catch extra flaws and bugs and increase client satisfaction while saving precious money and time down the line.

ImpactQA did performance testing for marathon website like New York Road Runner (NYRR), using Blazemeter. Check how we carried out the testing: Performance Testing using Blazemeter for NYRR

Top 10 Automation Testing Tools For 2019

According to the World Quality Report 2018–19 the low level of automation of test activities has turned out to be a critical bottleneck in the further evolution of Quality Assurance & testing. Making use of suitable test automation tools at the right time is crucial to deliver a high- quality product at a fast pace. These tools ensure that the advantages of automation are delivered to the fullest. Automation testing tools are a crucial part of the software development process.

With a variety of open source and commercial test automation tools, selecting the best automation testing tool can become an arduous task. Here is a curated list of best-automated testing tools –these automation testing tools included in this list are selected from three major criteria:

  • Popularity and maturity
  • Supporting API & services testing
  • Offering some Artificial Learning and Analytics Capabilities

1.Selenium

  • Topping the list, Selenium is an outstanding automated software testing tool for testing web applications that is accessible today in the market
  • It automates across multiple browsers like Firefox, Chrome, IE, etc. and enables users to sail through several browser-specific testing purposes. The test script can be easily written in programming languages such as Python, Java, Ruby, C#, PHP, JavaScript and Perl
  • Companies prefer Selenium this automation testing tool as the best one that can be integrated with automated testing frameworks and is compatible with various programming languages.

2. TestComplete

  • It is a SmartBearproduct, an extraordinary test automation tool for mobile, web, and desktop testing. TestComplete is an open test platform that can also be integrated effortlessly with other products contributed by SmartBear
  • TestComplete can also help you create robust, reusable, and automated tests across the web, desktop, mobile, and many devices effectively and easily
  • Silverlight apps can also be tested using TestComplete. It allows testers to create automated tests for iOS, Web, Microsoft Windows, and Android apps.
  • This amazing test automation tool can perform parallel regression testing with automation builds & create steady regression tests

3.Katalon Studio

  • This is an incredible test automation solution for a mobile, web application and web services. Being built on top of the Appium and Selenium frameworks, this tool takes benefits of these solutions for integrated software automation
  • Katalon Studio tool supports various levels of testing skill set. Even Non-programmers can also find it trouble-free to start the test automation project (such as using Object Spy to record testing scripts) while programmers and advanced testers can save time from building new libraries and managing their scripts
  • Katalon Studio can be incorporated into CI/CD processes and performs well with well-admired software testing tools in the QA process counting JIRA, qTest, Git, and Jenkins.
  • Additional features like Katalon Analytics can provide users the comprehensive status of test execution reports through dashboard comprising graphs, metrics, and charts

4.Unified Functional Testing (UFT)

  • UFT is a famous commercial test automation tool for Functional Testing
  • It gives a comprehensive feature set for web services, API, and GUI testing of web, desktop, and mobile apps across varied platforms
  • The is an amazing tool and it has improved reusable test components, image-based object recognition feature, and automated documentation
  • Unified Functional Testing uses Visual Basic Scripting Edition to register automation testing processes and object control. It is integrated with Mercury Quality Center and Mercury Business Process Testing. UFT tool also supports CI thorugh integration with CI tools like Jenkins

5.SoapUI

  • SoapUI is a web service testing tool for Representational State Transfers (REST) & Service-Oriented Architectures(SOA)
  • This automation testing tool is an open source that allows automated functional testing, automated load testing, and compliance testing.
    SoapUI additionally comprises mocking and simulation traits together with web service research
  • It isn’t an automation tool for Web or mobile app testing; however, it can be a great tool to test API & services
  • SoapUI is a headless functional testing tool perfectly designed for API testing. API automation testers can use either the pro edition or open source. The pro version has a user-friendly interface as well as various advanced features like form editor, assertion wizard, and SQL query builder

6.Cucumber

  • This is a famous open source BDD (Behavior Driven Development) tool. Cucumber supports languages such as Java, Ruby, Groovy, Scala, etc
  • Drafting automation test scripts is a joint effort of the developer, testers, and customers. Cucumber supports only the web environment. Test code is written in easy English called Gherkin. Cucumber code can be executed on several test automation frameworks such as Selenium, Ruby, etc


7. IBM Rational Functional Tester

  • It is commercial automated testing tool from IBM. It supports extensive ranges of development environments such as Flex, PowerBuilder, Siebel, SAP, Java, Dojo, and Net amongst others.
  • RFT supports two scripting language VB.Net and Java. Rational Functional Tester (RFT) tool supports regression testing, functional testing, & Data-driven testing.
  • RFT’s other crucial feature is its integration with IBM Jazz apps lifecycle management systems like Rational Quality Manager and IBM Rational Team Concert


8. Tricentis Tosca

  • Tricentis Tosca is a model-based automated testing tool that provides a comprehensive feature set for continuous test comprising analytics, dashboards, and integrations to support DevOps and Agile methodologies.
  • Tricentis Toscaa assists users to optimize the reusability of test assets. Like several other automation testing tools, this test automation tool supports an extensive range of technologies and apps like API, web, and mobile
  • This test automation tool also has exclusive features for risk analysis, integration management, and distributed execution

9. Postman

  • This amazing tool is another automation tool perfectly designed for API testing. Users can install this tool as a browser extension or a desktop app on Windows, Mac, and Linux.
  • Postman is one of the priorities not only among testers for API test automation but also software developers who use the tool to develop and test APIs.

10. Ranorex

  • Ranorex is an incredible commercial automation tool for desktop, web, and mobile testing. This popular tool features advanced traits for GUI recognition, record/ playback, and reusable test scripts.
  • Codeless test creation is one such beneficial feature of this automation tool that allows new testers to learn and apply automation testing to their projects.
  • This advanced automation testing tool also supports Selenium integration for web app tests. Testers can distribute the execution of their automation tests across browsers and platforms using Selenium Grid. Ranorex offers a low-pricing model for enterprises.

The automated tests tools listed above will slash the time spent and further support companies by saving loads of resources. Your choice of automated testing tools should not only meet your current requirements but should also focus on potential trends. With these significant automation testing tools, the enterprises can ensure that all the products delivered are free of any bug and glitches.

You cannot find any real-world software 100% free of flaws or bugs. The best approach is to thoroughly test the software and fix it whenever found. You need an expert and adept software QA testing team you can trust to do that. We at ImpactQA are that team. Contact us; we will be glad to help you.

Top Software Testing Trends in 2019

The introduction of new technologies has brought the current updates in the software design, development, software testing & delivery. There has been great progress in the software testing field with new software testing trends coming into IT industry services. Quality Assurance and Software testing have come a long way. From a gate-keeping quality approach to an active, more evolved, “fit-for-purpose” strategic role, QA is now quality engineering in a true sense.

Digital transformation is yet another significant point of focus for the industries and the enterprises are ranking high on cloud computing, big data, business analytics and. With the advent of DevOps and Agile development technologies, the software development business is undergoing major interference. The new addition is the agile methodology adoption to undertake a digital transformation. Agile methodology aids to align digital transformation initiatives with business requirements.

As we head into 2020, we can expect to reach critical milestones as various new software testing trends take hold. Are you ready to explore these trends in software testing? Here are the top software testing trends 2019 the ImpactQA team expects to see take shape in the year ahead:

1- Quality Assurance Shifts to Quality Engineering- Quality Assurance is now a complex field that covers a wide range of technology and skills. From automation testing and DevOps to pipeline integration, QA has evolved well beyond its initial scope. To keep pace with this evolution, we’ll see a strong shift from QA to quality engineering.

2- Increasing adoption of Agile & DevOps– To keep pace with this growth, enterprises are not looking at having centralized Test Centers of Excellence any longer. The erstwhile testing arena is making a shift towards quality engineering, & software testing is intended to become progressive, iterative, and flawlessly integrated with development.

3- High Level of Test Automation- According to a current study on automation testing trends, 44% of businesses expect to automate 50% or more of testing in 2020. Organizations see several benefits, counting improved test coverage, faster software testing cycles, and the ability to catch defects earlier. To maximize the scalability of test automation even, ‘Script-less Test Automation’ is introduced.

4- Big Data Testing- There is varied types of software testing in Big Data projects like Database testing, Infrastructure, Functional Testing, and Performance testing. Big Data defined as a high volume of data unstructured or structured. The quality of data is also a significant factor in big data testing. The data quality is checked on account of various traits like accuracy, conformity, validity, consistency, data completeness, duplication, etc.

5- IoT Testing- Gartner estimates the number of IoT devices worldwide will reach approximately 20.4 billion by the year 2020. Hyper-connectivity is taking across the globe and the number of connected devices is estimated to be 1 trillion (by the year 2025). IoT test approaches have also emerged & necessitated a varied set of tools and techniques altogether. The focus is on connectivity, usability, security, performance, and compatibility testing. The variety of testing for IoT systems are:

  • Compatibility Testing
  • Performance Testing 
  • Usability Testing
  • Reliability & Scalability Testing
  • Data Integrity Testing
  • Security testing

6- Performance Testing Shifts to Performance Engineering- Performance testing will be replaced by performance testing. Rather than executing test scripts, the focus will be on analyzing how each component of the system work together. The variety of elements of the system comprises security, performance, hardware, usability, software, configuration, business value, and the client. Performance engineering will assist in exceeding client expectations in 2020.

7- Robotic Process Automation (RPA)– Latest and new-edge technologies, like cognitive computing, the Internet of Things (IoT), Artificial intelligence (AI), and machine learning are revolutionizing all domains. Progress in software and Artificial Intelligence world has paved the way for Robotic Process Automation (RPA). It is the latest technology which can re-invent the business process management landscape.

Organizations face countless software testing challenges and choices these days as technology evolves and the digital economy grows. Adopting the right software testing trends, tools and processes will help organizations to stay competitive or on top of their game. Embrace the change, and lead the way to a better-progressive future.

Performance Testing using Blazemeter for NYRR

Performance testing generally checks how the system performs and behaves. Performance testing examines reliability, scalability, responsiveness, stability, resource usage and speed of your software and infrastructure. Different kinds of performance tests give you different information. Before performance testing, it’s significant to determine your system’s business objectives, so you can understand if your system behaves perfectly or not according to the user’s needs.

After carrying out performance testing, you can examine different KPIs, such as errors per second, the number of virtual users, hits per second, latency, response time, and bytes per second (throughput), as well as the connection between them. With the help of such reports, you can recognize bugs, flaws, errors, and bottlenecks, and decide what needs to be done.
When should you use Performance Testing? The moment when you want to test your app and website performances plus networks, servers, databases, etc.

Performance Testing for NYRR (New York Road Runners)

New York Road Runners
New York Road Runners

ImpactQA did performance testing for New York Road Runner (NYRR), a marathon website using Blazemeter. Here is how we carried out the testing:

  • PROBLEM REPORT

We wanted to stress test a .NET application and were not sure if we wanted to test using VSTS or JMeter. VSTS has its special advantages while JMeter could easily be configured in BlazeMeter. The .NET application was to be tested for a load of 10K users and the challenge was to test it remotely. The web server was hosted in the US and the tests were being conducted from a remote location in India.

To simulate a real-time load environment we needed the client machine (load generating machine) in the US (the servers were already hosted in the US). We needed 10 machines of 8 GB RAM and 3.0 GHz processor). Acquiring such machines in a short time frame in the US and that too only 2 weeks was not only an expensive affair but also time-consuming and not worth the price.

That’s where BlazeMeter bring into play. With the help of BlazeMeter, we could easily simulate the load using the BlazeMeter as the client machine. The beauty of BlazeMeter is that it allows you to hit a server as if you are based out of that country – the screenshot below.

Blazemeter Features
Blazemeter Features

There is also yet another user-friendly feature of BlazeMeter that allowed the user to set the parameters by dragging the slider. See below.

JMeter Engines
JMeter Engines

We selected 290 threads (number of concurrent users) to load test. The duration of Load Test was 1 hour..

We also want to share our experience of scripting a .NET application using JMeter where we were faced with a unique problem while scripting – the problem with ViewState. Although this had nothing to do with us using BlazeMeter we thought it would be a good idea to put it in this blog.
The problem is if we do not correlate the ViewState variable the JMeter script may run 1st time but in subsequent run the script will create problems. The reason for this is that in the first run, the application may accept your recorded ViewState value but when you run the script next time, it will fail as it will no longer accept the previous view state value.

  • SOLUTION

Correlate the ViewState in the script if they exist in the application. Execute the following steps:

1- Find the ViewState parameter

Blazemeter Performance Testing Step 1
Blazemeter Performance Testing Step 1

2- Now see the HTTP Request Name (in our case its login)

Blazemeter Performance Testing Step 2
Blazemeter Performance Testing Step 2

3- Search for the ViewState (Search in View Result tree) in the response of the login that is just above the login in which you will find the ViewState parameter.

Blazemeter Performance Testing Step 3
Blazemeter Performance Testing Step 3

4- Extract it by using “Regular Expression Extractor” in the recorded “Login” sampler

Blazemeter Performance Testing Step 4
Blazemeter Performance Testing Step 4

5- Now use the “Reference Name” (in our case it is ViewState_Login) as a variable name.

Blazemeter Performance Testing Step 5
Blazemeter Performance Testing Step 5

Conclusion:

BlazeMeter is a great platform and delivers complete shift left testing. It has been trusted by the big giants and SMEs to deliver shift-left continuous testing at scale. It also saves time, improves coverage, accuracy and reduces complexity.

Through BlazeMeter, we have successfully run performance testing for our client NYRR and fixed all loopholes and glitches.

5 Core Challenges Associated with Performance Testing

With the growth and demand of Mobile applications, there is growing competition in the marketplace and performance has a great impact on the app’s reliability and dependability. Therefore, there is a high requirement for performance and load tests with suitable blueprint and execution. In general, performance testing validates the scalability, stability, and speed of the applications. This is significant for providing an ‘Amazing’ and ‘Ultimate’ experience to the users.

Key Purpose of Performance Testing:

To ensure the stability, speed, and accuracy of the software.

The Performance test is critical to authenticate the scalability, reliability, and responsiveness features of the software under test.

In software testing, the rapidity and response time of the specific application is one of the vital attributes. The performance testing uncovers the performance hiccups and bottlenecks to uphold the attention and interest of the customer. Such type of Testing falls into several categories like Stress Testing, Load Testing, and Spike Testing to mention a few.

The most common performance hiccups and glitches observed in any web/ mobile app are as follows:

• Poor response time

• Memory utilization

• Disk usage

• Poor scalability

• CPU utilization

• Loading Bottleneck

• Extended Loading time

• Software configuration problems for the Web server,

• Operating System limitations

• Load balancers, databases, etc.

• Poor network configuration

5 Key Challenges of Performance Testing:

A software application should be thoroughly tested with accurate testing processes before releasing to the customers. Like any other testing procedures, this type of testing also comes with a number of Challenges.

1- Testing Tools and Situation

Performance testing requires you to test the application under reasonable scenarios. However, lots of times the enterprises do not have the budget or environment for executing the tests. One of the most efficient ways to conduct performance testing is to generate a replica of the production environment. Yet, the challenge lies in getting the proper outcome with limited resource and uneven scenarios. For example, creating a scenario where multiple users log into the system at the same time is hard.

There is countless consideration before moving further on with such type of testing. They comprise:

• Technology

• Protocols

• Browser

• Tool

• Platform

• Budget

• Hardware Requirements

2- Test Coverage

It necessitates vast knowledge and talent to cover all the functionalities when doing performance testing. But, the scenarios must be exhibitive of a range of parameters. One can try automating core functionalities by gathering various scenarios. User data must be predicted properly as there would be lots of users using the system in their own context.

3- Performance Test Analysis

Evaluating and examining the performance test outcomes is the most challenging task in Performance and load of testing. It requires you to have comprehensive knowledge and better decision to examine tools and reports. In addition, you need to by and large upgrade the tests based on the definite situation.

4- Non-Functional Requirements

Both functional and non-functional requirements are vital for such kind of test. Functional needs are more precise and include input data types, algorithms, and functionality to be covered. The challenge lies in discovering less specific non-functional requirements. They include capacity, usability, stability, responsiveness, and interoperability.

5- Analyzing the Performance Test Outcomes

This is indeed one of the significant and trickiest of the challenges for Performance testing. A good amount of judgment and thorough knowledge of the system is necessary to examine the several performance result reports besides the tools used for the actual tests. A skilled tester should be able to judge the scenarios and if the test is done or not. The tester should be able to continuously refine the tests and keep adding tests consistent with the situations estimated during the course of time.