Every software project takes time before its requirements and design stabilize. A classic comparison is between the UI that can change at any time in an application's lifecycle and back-end services that may live untouched for generations. Agile projects behave differently from waterfall in this respect. If you're developing a SaaS product, you must use automation to support frequent deliveries, but you'll have to carefully consider the effort you invest in developing tests because your requirements may also change frequently. This a fine balance you'll have to learn to work with. For an on-premise solution, it may be easier to identify the stage in which automation tests can be safely developed and maintained. For all these cases, you have to carefully consider when it's cost-effective to develop automated tests. If you start from day one, you'll expend a lot of resources shooting at a moving target.
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Some software testing tasks, such as extensive low-level interface regression testing, can be laborious and time-consuming to do manually. In addition, a manual approach might not always be effective in finding certain classes of defects. Test automation offers a possibility to perform these types of testing effectively. Once automated tests have been developed, they can be run quickly and repeatedly. Many times, this can be a cost-effective method for regression testing of software products that have a long maintenance life. Even minor patches over the lifetime of the application can cause existing features to break which were working at an earlier point in time.
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“Selenium is the go-to UI automation tool. The other credible open source tools are essentially a wrap-around tool around Selenium. For web service testing, I prefer REST Assured. SoapUI is another option used frequently and offers a professional version in addition to open source. Testing G and Junit are popular for verification tools. For BDD, Cucumber and Specflow are popular with the Microsoft stack of development tools.”
A defining factor for successfully applying test automation in software projects is choosing and using the right set of test automation tools. This is a daunting task, especially for those new to software test automation because there are so many tools in the market to choose from, each having different strengths and weaknesses. There is no tool that can fit all automated testing needs which makes finding the right tool difficult. Learn how to identify the right automation tool for your project with this qualitative comparison of Katalon Studio to other popular automated testing toolsets in the market.
Manual software testing is performed by a human sitting in front of a computer carefully going through application screens, trying various usage and input combinations, comparing the results to the expected behavior and recording their observations. Manual tests are repeated often during development cycles for source code changes and other situations like multiple operating environments and hardware configurations. An automated testing tool is able to playback pre-recorded and predefined actions, compare the results to the expected behavior and report the success or failure of these manual tests to a test engineer. Once automated tests are created they can easily be repeated and they can be extended to perform tasks impossible with manual testing. Because of this, savvy managers have found that automated software testing is an essential component of successful development projects.

An image-based automated functional testing tool that enables testers to interact with AUT the same way end users do. TestPlant eggPlant is completely different from traditional testing tools in its approach: modeling user’s point of view rather instead of the test scripts view often seen by testers. This allows testers with less programming skills to learn and apply test automation intuitively. The tool supports various platforms like Web, mobile, and POS systems. It offers lab management and CI integration as well.


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The ROI on automation tests varies depending on several factors. Some tests are difficult to develop because of technology constraints. For example, testing frameworks may not support test cases that run across several browser sessions or across different devices. Other tests may not need to be run frequently. For example, it might be more cost-effective to occasionally and manually test a use case for a rarely used feature, rather than invest the time to develop and maintain an automated test that runs after each nightly build. Each organization will make its considerations according to its own priorities, but it's always important to consider the ROI you'll get by automating your tests.
We've emphasized the importance of getting everyone involved in automation. Here's how it works in my department. An integral part of each development team, the DevTester writes and executes manual test cases for the team's user stories. The tests are written using a methodology (see connect manual tests with automation using a clear methodology) that clarifies how to automate them later on. Once a feature is stable, the DevTester writes the actual automation tests. Then, there's the Developer. In addition to developing the application, the developer works with the DevTester to review both the test's design and the testing code itself. The developer's involvement in the automated tests increases his or her engagement in the automation efforts, which also means the DevTester can help with test maintenance should the need arise. The QA architect is an experienced QA professional who is instrumental in deciding which feature tests should be automated. This is the person with the higher-level view of the overall testing effort who can understand which test cases will yield the best ROI if automated. With a broader view of the application, the architect is also responsible for cross-feature and cross-team QA activities to make sure that end-to-end testing can also be automated.
Considering all of its shortcomings, we are lucky that testing existing functionality isn’t really testing. As we said before, real testing is questioning each and every aspect and underlying assumption of the product. Existing functionality has already endured that sort of testing. Although it might be necessary to re-evaluate assumptions that were considered valid at the time of testing, this is typically not necessary before every release and certainly not continuously. Testing existing functionality is not really testing. It is called regression testing, and although it sounds the same, regression testing is to testing like pet is to carpet—not at all related. The goal of regression testing is merely to recheck that existing functionality still works as it did at the time of the actual testing. So regression testing is about controlling the changes of the behaviour of the software. In that regard it has more to do with version control than with testing. In fact, one could say that regression testing is the missing link between controlling changes of the static properties of the software (configuration and code) and controlling changes of the dynamic properties of the software (the look and behaviour). Automated tests simply pin those dynamic properties down and transform them to a static artefact (e.g. a test script), which again can be governed by current version control systems.

“When we refer to automation frameworks, it is easiest to understand with the functional testing areas,” says Kandukuri. “You are providing commonly used methods to improve the efficiency of automated tasks. With limited knowledge of how the test case is set up, a tester can fall back on the framework to refer to simple statements and implement the test cases.”
There is no one-size-fits-all tool for automated testing. It is highly recommended that testers evaluate various tools in order to select what would best meet their automated testing needs. Programming languages and technologies used to develop software continue to evolve, as do the automated testing tools, making cost a significant factor in tool selection. Commercial vendors often charge for tool upgrades, which can be substantial if your software uses emerging and frequently changing technologies. Open source and non-commercial tools, on the other hand, do not incur additional charges but require effort and expertise for integrating new upgrades. It is difficult to find the support and expertise needed for integrating various tools and frameworks into open-source solutions. Emerging tools that integrate with open-source frameworks, like Katalon, offer a viable alternative to both commercial and open-source automated testing solutions.
During a recent consulting assignment, a tester told me he spent 90 percent of his time setting up test conditions. The application allowed colleges and other large organizations to configure their workflow for payment processing. One school might set up self-service kiosks, while another might have a cash window where the teller could only authorize up to a certain dollar amount. Still others might require a manager to cancel or approve a transaction over a certain dollar amount. Some schools took certain credit cards, while others accepted cash only. To reproduce any of these conditions, the tester had to log in, create a workflow manually, and establish a set of users with the right permissions before finally doing the testing. When we talked about automation approaches, our initial conversation was about tools to drive the user interface. For example, a batch script like this:
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While programmers are waiting for feedback, they start the next thing, which leads to multitasking. Eventually, someone re-skins the user interface, and, unless there is some sort of business logic layer in the tool, all checks will fail and you will be left with no easy way to revise the system. In an attempt to just get done, teams revert to human exploration, the automation becomes even more out of date, and, eventually, it will be thrown away.
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“There are millions of regression tests for a Windows 10 release. For example, if you plan 10 new features, five [of those 10] are critical and a priority. These test cases will be the criteria used to release the software. You build from that progress. So on the next release, you have new features, 10 are determined critical for testing. So it keeps adding, now you have 15 regression tests being automated to keep up with the release schedules.”
Successive development cycles will require execution of same test suite repeatedly. Using a test automation tool, it's possible to record this test suite and re-play it as required.Once the test suite is automated, no human intervention is required.This improved ROI of Test Automation.The goal of Automation is to reduce the number of test cases to be run manually and not to eliminate Manual Testing altogether.
If the latter is the type of business management software you’re interested in, inquire about the integration capabilities with the vendor. It’s important that any stand-alone applications or other software currently in use at your company will integrate with your business management platform. This way, you can ensure seamless data transfer between systems, offering you greater oversight and control over operations.

Automated testing or test automation is a method in software testing that makes use of special software tools to control the execution of tests and then compares actual test results with predicted or expected results. All of this is done automatically with little or no intervention from the test engineer. Automation is used to to add additional testing that may be too difficult to perform manually.

While ensuring quality at all times is of utmost importance to this model, it’s not all that counts. The speed at which all of the development and testing occurs also matters quite a lot. That’s because if something in the pipeline stalls or breaks down, it holds up everything else and slows down the release of new developments. And given that the need to deliver new releases faster and on a more regular basis paved the way for this continuous delivery and testing model, that roadblock defeats the purpose of taking this approach.
A growing trend in software development is the use of unit testing frameworks such as the xUnit frameworks (for example, JUnit and NUnit) that allow the execution of unit tests to determine whether various sections of the code are acting as expected under various circumstances. Test cases describe tests that need to be run on the program to verify that the program runs as expected.
Successive development cycles will require execution of same test suite repeatedly. Using a test automation tool, it's possible to record this test suite and re-play it as required.Once the test suite is automated, no human intervention is required.This improved ROI of Test Automation.The goal of Automation is to reduce the number of test cases to be run manually and not to eliminate Manual Testing altogether.
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