A steady increase is being noted in the number of enterprises implementing agile methodology to deliver software applications rapidly. Many enterprises adopt DevOps – as an extension of agile methodology – to deliver high quality software applications by unifying software development and IT operations. Both agile methodology and DevOps emphasize on continuous delivery and test automation. The enterprises should coordinate the manual and automation testing efforts to get the best results. Continue reading Best Automation Testing Tools For 2018
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How to Approach Automation?
Automation, in true sense, relieves the person from manual efforts by regulating the repetitive tasks to an extent. Automation is the preferred choice in most industries and software may also be brought into the circle of automation, but without deviating from its actual definition. Automation should not become a costly affair for an engineer to perform.
So, here comes the big question: “How to approach Automation? “
That brings us to the basics of Automation, i.e. what and when to automate. It is not possible to automate everything in software; however test scenarios those are time consuming and executed repeatedly can be considered for automation. GUI items, Business Critical test cases, connections with database, data validation generally make good automation stuff. Test automation should be done when the projects are large and critical to business, requires frequent regression testing, requirements are not changing frequently, load and performance tests needs to be included, and most importantly project build is stable.
It is required to follow a proper approach to create and execute automation test script so as to increase the efficiency in automating the software. Firstly, define the scope of automation, taking in view the test scenarios to be tested, technical feasibility, complexity and priority of selected tests. After defining the scope, test tool selection should be made depending upon the software interface and technology used. A proper framework is needed to execute automation scripts, so the framework implementation on the selected test tool should be undertaken.
Tests always run in well-configured environment that supports the tool. Hence, configure the environment correctly and then related test data preparation should be done, to avoid any risks due to invalid data giving inaccurate results.
Automated test development consists prioritizing of test cases to be automated, writing of automation scripts, mapping those scripts with test cases and creating elaborate test suite. Tests then can be run either by using the Test tool or Test Management tools with test data as input and generate test reports for the analysis of the result. Test execution should always be supported and monitored to ensure it is done as per the scope of the automation. Lastly, maintenance of the scripts is done. With every build, scripts need to be added, modified or deleted to make the automation efforts optimally effective.
Therefore, we can maximize the potential of efforts made into automation by strategically planning the automation process. It is always advisable to correct the shortcomings in any process as early as possible to avoid unprecedented repercussion if same is done in later stages, as evident in case of software development models.
Happy Testing !
Why Automation – Is it worth?
Automated testing is need of the hour. Possibilities of the automation, apart from custom manual testing, are being analyzed for every other application now-a-days. It is preferred to manual testing due to several factors such as improved accuracy of tests, wider test coverage, more reliable results and above all, it saves time and cost rapidly.
Testing manually, on the other hand, is time consuming and error prone, hence can result in defects being left out. Having said that, I would like to analyze the positives of automated testing over manual as is generally said. Basically, it’s not always advisable to automate the AUT (Application under test) as opposed to prevalent myth about automation.
Automation can be accurate in giving reliable results with wider test coverage while saving time and cost, but this may not always be the case with all AUTs. Imagine the AUT with ever-evolving requirements and dynamic webpages. Here, Automation may be accurate with wider test coverage but will consume much more time and cost giving unreliable results due to system instability. In case of UI based AUT, if design changes frequently the automation is strictly discouraged. Further, choosing an inappropriate tool can lead to reduced efficiency as tool selection largely depends upon the technology used in the AUT.
It can be said that automation is the best way to increase the effectiveness, efficiency and test coverage of testing but only when proper analysis of AUT is made before shifting to it, else certainly a bad idea if its objective is not clear. Also, deciding on what to automate is most vital task before planning any automation process to follow. It is not possible to automate everything ; nevertheless modules that are stable and are manually tested at least once should be taken for automation. Test Cases that are executed repeatedly and consume time could be a priority, making the automation best suited for regression testing or retesting of the fixed issues. Descriptive test cases that are clearly explained are automatable and not the vague ones. Apart from regression, it can test stress, load and performance of the AUT.
Hence, Automation should be taken up only after analyzing the AUT and determining if the automation will actually be time and cost effective or otherwise.