Many may question, ‘what is software automation testing?’ To go by definition, it is the process where several components of a new software design are tested with no or little human interference. This automatic testing makes sure that the software runs without a human sitting 24×7 in front of the screen testing and operating it. Testing is an important part of software development process and automation testing further makes it easy to test the software thoroughly in a lesser amount of time. In this blog, we will deliberately look at the different aspects of software testing such as tools, benefits, and methods.
The demand for delivering quality software faster — or “Quality at Speed” — requires organizations to search for solutions in Agile, continuous integration (CI), and DevOps methodologies. Test automation is an essential part of these aspects. The latest World Quality Report 2018–2019 suggests that test automation is the biggest bottleneck to deliver “Quality at Speed,” as it is an enabler of successful Agile and DevOps adoption.
Test automation cannot be realized without good tools; as they determine how automation is performed and whether the benefits of automation can be delivered. Test automation tools is a crucial component in the DevOps toolchain. The current test automation trends have increased in applying artificial intelligence and machine learning (AI/ML) to offer advanced capabilities for test optimization, intelligent test generation, execution, and reporting. It will be worthwhile to understand which tools are best poised to take advantage of these trends.****
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In recent years, the testing community has witnessed a steady rise in automation testing. Although it has proved significant advantages compared to manual testing, flakiness in locating objects for WebUI testing is still a constant problem that restrains the transition to automated testing for teams. Testers have to spend unnecessary time and effort to manually update the object locators whenever they make new changes to the application.
The Self-healing mechanism is one of the most promising factors to completely change the automation Web testing. By eliminating unnecessary repetitive tasks in execution, this mechanism creates the foundation for test automation to perform at its full potential.
Object locator flakiness comes from the root of automation itself: fragile test scripts. Object locators, most often, can no longer identify the target element after the application under test (AUT) changes. Pre-written scripts then will fail to run the test correctly, which results in a false failed result. The QA team has to detect whether their tests fail because they actually have a problem, or the scripts cannot adapt to new element changes. Web testing, in which UI changes happen over and over, appears to suffer the most from this flakiness.
To maximize the speed advantage of automation testing, automation testers demand a mechanism that can recognize and skip these UI changes to keep the scripts running seamlessly. For automation testers, Self-healing function has turned out to be the optimal solution for this pain point.
The human body is a perfect example to explain the self-healing mechanism. Whenever a human gets injured, the human self-healing function is triggered to find the wound and heal it without any action needed. For any minor injuries, this mechanism can quickly heal wounds without human intervention.
Back to self-healing automation in software testing, it functions exactly like the way the human body works. Based on the object changes in properties, the self-healing mechanism actively studies the characteristics and properties of all available objects, removing similar objects on the page and comparing their historical data. Then, the test engine will automatically pick up an alternative that best assembles the changed locator to keep the test running.
Self-healing has been a desirable solution to solve one major challenge of automation testing: Quality at speed.
By identifying new changes and replacing them with similar objects, the self-healing mechanism reduces downtime and significantly speeds up the deployment process. With this capability, QA teams can release the burden of intense script maintenance, and save time and resources.
Additionally, a well-built self-healing mechanism gives QA teams the ability to create generic test frameworks that can apply to a broad range of software, improving the benefits of automation.
More and more automation tools have developed self-healing as an essential part of the tool in response to this enormous demand. Many experts expect that self-healing will become less of a nice-to-have function but a must-have for all automation tools in the near future.
In their latest update — version 7.6 — Katalon Studio company has introduced the new self-healing mechanism to its users. This function allows users to speed up processes and maximize automation efforts for the whole team.
Before the updated version was released, Katalon Studio users were familiar with its Auto-healing Smart XPath. This plugin assists in recovering broken default locators by trying other available XPath alternatives. However, in case there are no suitable alternatives available, the execution will stop running.
To advance its process and provide users with more efficient test maintenance, Katalon Studio developed the Self-healing mechanism that has been released lately. Following the positive impacts of Smart XPath, the self-healing mechanism is made to be more robust and comprehensive to tackle broken locators during each execution.
During the execution, if Katalon Studio fails to identify an object with its default locator, the tool tries other pre-configured locators associated with that object. With 4 selection methods, including XPath, Attributes CSS, and image, users can opt to set the object locating priority to ensure accuracy and continuity of the execution.
If Katalon finds a suitable object within the selectors, the test keeps running to completion. With approval from the tester, the locator that is selected to replace the broken object will then be saved for that particular Test Object in future executions. By doing so, Katalon Studio creates a database to make the self-healing mechanism even more efficient by avoiding analyzing one same broken object repeatedly.
Once the execution is over, Katalon Studio will suggest replacing all broken locators with the locators having found the objects. If Katalon Studio cannot find the target objects, the test will either continue or stop running, depending on how users designed the failure handling option.
In a Katalon Studio project, you can find a screen in project settings dedicated to Self-healing. You can change the default settings to make the utility better suit your needs.
The self-healing mode is activated by default whenever users run the application. To open the Self-healing window, go to Project/Settings/Self-Healing/Web UI.
To start with Katalon Studio’s self-healing, users need to set initial settings to decide the default selection method used during spying and recording. Please note that for Image selection, screenshots for the objects are mandatory.
Go to Project/Settings/Self-healing/Web UI/Test Design to set the default selection method.
Users can decide which alternative locators to be used in terms of selection methods and their priorities in Project/Settings/Self-Healing/Web UI/ Test Execution.
This predefined order will be applied when Katalon fails to locate the target objects.
All the replacements are recorded in Self-healing Insights when the execution is over. Katalon Studio allows users to decide which alternative locators to be used in terms of selection methods and their priorities.
To read the full tutorial and sample project using the self-healing mechanism, you can visit Katalon’s Document hub here.
With this upgraded Self-healing mechanism, Web testing is made faster and easier as it reduces human efforts on script maintenance with less interruption. This is a valuable addition for Katalon users to have a more powerful automation experience with consistent results.
To try out this new functionality, sign up on the Katalon website with your business email and get a 30-day free trial with full functions in the latest Katalon Studio!
#devops #software testing #automated testing #automation testing #update #software test automation #xpath #automation tools #software testing 2020 #object locator
Software Testing is the hottest job at present time. The requirement for a software tester is increasing day by day with a good salary package depended on their skills in the software development companies.
Software testing has become a core part of application/product implementations. The good who want to make a career in software testing because it has a great scope of software testing is increasing day-by-day in the IT field.
The roles of a software tester are given according to their skills and experience. Here are the following is given below:
QA Analyst (Fresher)
Sr. QA Analyst (2-3 years’ experience)
QA Team Coordinator (5-6 years’ experience)
Test Manager (8-11 years’ experience)
Senior Test Manager (14+ experience)
Reasons Why Software Testing Is Good Career Option
Good Salary Package
Software tester gets paid a high salary package on which a software developer gets. It doesn’t matter beginner or fresher payment scale is on the same level all depended on their skill. Companies raise their salary based on skill, experience, and certification.
High In Demand
Now in the modern age competition is high for a software tester to provide high-quality products and services. For quality, final product testing is a basic core screening element which is the demand for Automation software testing is high in comparison to manual testing. Similarly, both software development and testing have great career opportunities for never-ending opportunities.
Easy To Enter In IT Sector
Whatever stream graduates can easily get into the IT sector by completed their online Software testing course. You don’t need to know advanced coding knowledge if you think that requires it. The only matter is interest to learn and work.
Easy To Learn
Many institutes provide software testing courses or online Software training from where you learn tools used for testing can easily by anyone who has an interest. Those who have basic coding skills can enter into software testing. However, It will not be easy for those who choose software testing just because of the trend and don’t have their interest in it.
Work As Freelancer
Software Testing is a flexible job, you can work on freelancing. Now there is the option to work from home in the IT sector in a flexible to maintain a work-life balance.
In other words, many companies prefer freelance work to reduce the cost and also the result is high, therefore one who has done a software testing training course either can work freelance or regular job the decision is up to you.
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Selenium is one of the most popular automated testing frameworks, with a market share of about 26.4% in the software testing tools category. This open-source testing framework enables you to automate user actions on your software application under test.
Using this free testing framework, you can also verify & validate your software products across multiple browsers. Additionally, you can create Selenium test scripts using various programming languages such as C#, Java, Python, etc.
The Selenium automation software consists of a host of software tools to cater to an organization’s different quality engineering needs. These are:
Even though Selenium is among the most preferable web-app testing frameworks, it is not completely flawless. This automation framework has its fair share of challenges that developers face while working with it. Let us discuss some of the most common challenges and how you can tackle each of them.
#selenium #selenium-webdriver #selenium-automation-testing #test-automation #software-testing-tools #deployment-challenges #software-quality-assurance #software-testing
Thorough testing is crucial to the success of a software product. If your software doesn’t work properly, chances are strong that most people won’t buy or use it…at least not for long. But testing to find defects or bugs is time-consuming, expensive, often repetitive, and subject to human error. Automated testing, in which Quality Assurance teams use software tools to run detailed, repetitive, and data-intensive tests automatically, helps teams improve software quality and make the most of their always-limited testing resources.
Use these top tips to ensure that your software testing is successful and you get the maximum return on investment (ROI):
It is impossible to automate all testing, so it is important to determine what test cases should be automated first.
The benefit of automated testing is linked to how many times a given test can be repeated. Tests that are only performed a few times are better left for manual testing. Good test cases for automation are ones that are run frequently and require large amounts of data to perform the same action.
You can get the most benefit out of your automated testing efforts by automating:
Success in test automation requires careful planning and design work. Start out by creating an automation plan. This allows you to identify the initial set of tests to automate and serve as a guide for future tests. First, you should define your goal for automated testing and determine which types of tests to automate. There are a few different types of testing, and each has its place in the testing process. For instance, unit testing is used to test a small part of the intended application. To test a certain piece of the application’s UI, you would use functional or GUI testing.
After determining your goal and which types of tests to automate, you should decide what actions your automated tests will perform. Don’t just create test steps that test various aspects of the application’s behavior at one time. Large, complex automated tests are difficult to edit and debug. It is best to divide your tests into several logical, smaller tests. It makes your test environment more coherent and manageable and allows you to share test code, test data, and processes. You will get more opportunities to update your automated tests just by adding small tests that address new functionality. Test the functionality of your application as you add it, rather than waiting until the whole feature is implemented.
When creating tests, try to keep them small and focused on one objective. For example, separate tests for read-only versus reading/write tests. This allows you to use these individual tests repeatedly without including them in every automated test.
Once you create several simple automated tests, you can group your tests into one, larger automated test. You can organize automated tests by the application’s functional area, major/minor division in the application, common functions, or a base set of test data. If an automated test refers to other tests, you may need to create a test tree, where you can run tests in a specific order.
To get the most out of your automated testing, testing should be started as early as possible and ran as often as needed. The earlier testers get involved in the life cycle of the project the better, and the more you test, the more bugs you find. Automated unit testing can be implemented on day one and then you can gradually build your automated test suite. Bugs detected early are a lot cheaper to fix than those discovered later in production or deployment.
With the shift left movement, developers and advanced testers are now empowered to build and run tests. Tools allow users to run functional UI tests for web and desktop applications from within their favorite IDEs. With support for Visual Studio and Java IDEs such as IntelliJ and Eclipse, developers never have to leave the comfort of their ecosystem to validate application quality meaning teams can quickly and easily shift left to deliver software faster.
Selecting an automated testing tool is essential for test automation. There are a lot of automated testing tools on the market, and it is important to choose the automated testing tool that best suits your overall requirements.
Consider these key points when selecting an automated testing tool:
For detailed information about selecting automated testing tools for automated testing, see Selecting Automated Testing Tools.
Usually, the creation of different tests is based on QA engineers’ skill levels. It is important to identify the level of experience and skills for each of your team members and divide your automated testing efforts accordingly. For instance, writing automated test scripts requires expert knowledge of scripting languages. Thus, in order to perform these tasks, you should have QA engineers that know the script language provided by the automated testing tool.
Some team members may not be versed in writing automated test scripts. These QA engineers may be better at writing test cases. It is better when an automated testing tool has a way to create automated tests that do not require an in-depth knowledge of scripting languages.
You should also collaborate on your automated testing project with other QA engineers in your department. Testing performed by a team is more effective for finding defects and the right automated testing tool allows you to share your projects with several testers.
Good test data is extremely useful for data-driven testing. The data that should be entered into input fields during an automated test is usually stored in an external file. This data might be read from a database or any other data source like text or XML files, Excel sheets, and database tables. A good automated testing tool actually understands the contents of the data files and iterates over the contents in the automated test. Using external data makes your automated tests reusable and easier to maintain. To add different testing scenarios, the data files can be easily extended with new data without needing to edit the actual automated test.
Typically, you create test data manually and then save it to the desired data storage. However, you will find tools that provide you with the Data Generator that assists you in creating Table variables and Excel files that store test data. This approach lets you generate data of the desired type (integer numbers, strings, boolean values, and so on) and automatically save this data to the specified variable or file. Using this feature, you decrease the time spent on preparing test data for data-driven tests.
Creating test data for your automated tests is boring, but you should invest time and effort into creating data that is well structured. With good test data available, writing automated tests becomes a lot easier. The earlier you create good-quality data, the easier it is to extend existing automated tests along with the application’s development.
Automated tests created with scripts or keyword tests are dependent on the application under test. The user interface of the application may change between builds, especially in the early stages. These changes may affect the test results, or your automated tests may no longer work with future versions of the application. The problem is automated testing tools use a series of properties to identify and locate an object. Sometimes a testing tool relies on location coordinates to find the object. For instance, if the control caption or its location has changed, the automated test will no longer be able to find the object when it runs and will fail. To run the automated test successfully, you may need to replace old names with new ones in the entire project, before running the test against the new version of the application. However, if you provide unique names for your controls, it makes your automated tests resistant to these UI changes and ensures that your automated tests work without having to make changes to the text itself. This also eliminates the automated testing tool from relying on location coordinates to find the control, which is less stable and breaks easily.
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