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.

How AI Adoption Actually Bang and Turn QA Expectations?

Software testing industry is becoming extensive with every passing day. With the sudden boost in the technology challenges, apps are growing in complication which creates an incessant need for effective software testing. Software testing is the premeditated way where an app can be observed under definite conditions and where software testers can detect the risks involved in software implementation. Testing is an imperative process that guarantees customer satisfaction within an app and assists to safeguard against potential failures that may prove to be detrimental down the line. It is a planned procedure where the app is reviewed and analyzed under definite conditions to understand the overall risks and threshold involved in its implementation.

According to the State of Testing Survey 2017, the future is about the automated test as 62% of respondents believe it will boost in the next few years. According to the similar report, we can also expect testers spend extra resources and time on testing mobile & hybrid apps, with the time used on actual development shrinking. When it comes to automation tests, Artificial Intelligence is being extensively used in object app categorization for all user interfaces. Here, recognized controls are classified when you create tools & software testers can pre-train controls that are generally seen in out of the box setups. Once the hierarchy of controls is observed, software testers can create a technical map such that the Artificial Intelligence is looking at the HUI (Graphical User Interface) for obtaining labels for the diverse controls.

Artificial Intelligence in Software Testing

Simply said, Artificial Intelligence is the science behind computers performing significant tasks that are traditionally performed by individuals. It provides machines with the critical skill to process information about its conditions & learns to adapt to the changes and modifications. Machines are learning more rapidly than ever given the technology advancements. The computer is fed with a high amount of data to adapt as per a series of inputs so that it can recognize patterns and logic and as a result make an effectual connection between similar input & output pairs. It is all the way through machine learning that websites like Amazon and Netflix are able to bring targeted advertisements to their customers by using vast amounts of data based on the web pages the user searches. Machine Learning has to turn out a long way with people using it for driving cars without a human. Artificial Intelligence has become quite popular in the field of healthcare also as it is used to recognize high-end flaws and loopholes. As Artificial Intelligence begins to progress, technology experts around the world are finding means to leverage its potential in the software testing field as well. It is merely a matter of sometimes when training apps to be familiar with issues for agile and more efficient testing becomes a reality.

AI is one of the best choices for developers looking for speedy deployments with insufficient infrastructure. It is better to leave the arduous or strenuous work to the Artificial Intelligence-powered automation which leaves only 18-20% of the test work to human ingenious and cognitive ability. It would guarantee more fail-safe results as hand-crafted testing doesn’t just require long human hours but is also susceptible to imprecision’s and inconsistencies. Quite the reverse, Artificial Intelligence bots-based testing requires very less maintenance and is skilled enough to find out new trails through the product on their own. As industries realize the compensation of Artificial Intelligence and Machine Learning, developers are considering it to drive automation, facilitate decision making, and also perk up efficiency in the area of software testing. Machine learning and AI are unquestionably becoming vital components in Quality Assurance and software testing as well. By adding Artificial Intelligence to test creation, execution, and data analysis, expert testers can rapidly identify controls, spot links between defects as well as other components, and eliminate the requirements to continually update test cases by manual means.

Conclusion

The biggest “A-ha!” moment for us is when we realized that the complications we solve with AI are not deterministic. Machine learning gives software testers the opportunity to better understand their client’s needs and respond more rapidly than ever to their changing expectations. Besides, testers now also need to analyze more data and they are given lesser time to do that, while their margin of error and flaws decreases constantly. Tools like machine learning and predictive analytics offer the amazing means to address these challenges, either with in-house well-versed tester’s teams or, turning to QA outsourcing providers. Either way, this approach is set to fill the gaps of traditional techniques of testing and make the whole process effective and relevant to the customer’s needs.

Technology is the new Addiction.

 
Technology is the new Addiction.
Any sufficiently advanced technology is equivalent to magic. – Arthur C. Clarke
 

What is Technology? Is it a helping hand for us? Or is it a substitute meant to replace us in future?
Technology according to us is a very vast term, where even a simple tool/machine like a hand fan is known to be a part of innovation and a big tool like Artificial Intelligence is also studied with equal relevance.
Technology or should we say ease of getting things done has become a part of our DNA. Today, a new born baby within few months, learns to operate an iPad or an iPhone. There used to be a time when young children used to learn how to operate a normal kid’s toy and probably failed at it.
It seems as if today’s generation has some sort of coding embedded in their DNA which enables them to start operating any gadget at an early age.
With advancement in technology, today almost everything is possible. Maximum of the things have been automated and with AI being developed so rigorously, in the future we wouldn’t need Humans to do our work. Everything would be automated.
Cars have become self-aware (Google Self Drive Car), anything you want can be printed in 3D with help of 3D Printers, any color you like can be scanned and picked up to draw or write. Nothing seems impossible in today’s world.

                                                

Despite using science and technology to better our lives, we are the real slaves to technology. We indulge in the need to always have something electronic in our hands – a tool that connects us to the Internet, our games or to our social networks. We’re bypassing the real world to get a digital quick-fix; our work, play and plans for stress release seem to depend on a broadband connection.
Now, fast forward this situation to a decade from now. You see adults sitting around a table in a Wi-Fi-enabled café. Chances are they are not going to be talking to each other, not in the real world at least. At home, fights and arguments will occur a lot more often between spouses due to a lack of communication, and it’s not going to get any better when this generation has kids of their own.
This is the whole point of technology.  It creates an appetite for immortality on the one hand.  It threatens universal extinction on the other. Technology is lust removed from nature. The real danger is not that computers will begin to think like men, but that men will begin to think like computers. Still, we feel that, end of the day human touch or interaction is very important. Future may have 100 different robots for 100 different things but the feeling of a human next to you can never be replaced.

Come to think of it, all of this is already happening right now.
Technology has slowly eased its way into our lives and formed glass walls between individuals who can communicate with each other but instead chose not to.
So, in the end we just hope that computer/robots/gadgets replace humans only for work and gives us more time to be with each other.

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