A software product’s performance depends on thorough testing. Most people would not buy or use your software if it does not work well, at least not for a long time. However, finding defects or bugs is time-consuming, costly, tedious, and prone to human error. Automated testing, in which QA teams use software tools to run comprehensive, repetitive, and data-intensive tests automatically, aids teams in improving software quality and maximising their testing resources, which are often minimal. Test automation tools, such as those used by TestDel, help teams test faster, increase test coverage, increase test accuracy, and free up QA engineers to concentrate on tests that require manual attention and their specific human skills.

The primary aim of automated testing is to increase the performance of software verification. Regression testing automation helps the QA team to spend more time developing new features rather than retesting the same one. As a result, you save time and money on QA tasks. 

Scripts are designed and prepared once and updated to reflect improvements in functionality or interface in new versions of your software. The period that scripts are supported is determined by the amount and type of software changes.

To ensure that your software testing is good and that you get the best return on investment (ROI), follow these guidelines:

• Determine which test cases should be automated.
• Choose the Best Automated Testing Software
• Distribute your Automated Testing Tasks
• Produce high-quality test data
• Create automated tests that can withstand UI changes.

Determine which test cases should be automated

Since automating all testing is impractical, it’s critical to figure out which test cases should be automated first.

The value of automated testing is proportional to the number of times a test can be replicated. Manual testing is better for tests that are only done a few times. Test cases that are run regularly and require a large amount of data to perform the same action are good candidates for automation.

Automating the following tasks will help you get the most out of your automated testing efforts:

• Results that are repeated with different builds.
• Tests that are prone to human error.
• Tests that necessitate the use of several data sets.
• This is a frequently used feature that introduces high-risk situations.
• Tests that are difficult to complete by hand.
• Tests that are performed on a variety of hardware and software systems and configurations.
• When manual tests require a lot of time and effort.

Automate frequently-used functionality as there is a high possibility of bug detection by end-users. For example, registration procedure, authentication, payments, and so on. It is important to cover with scripts all the critical features to minimize the risk of bug occurrence.

To save time and resources, you’d better automate routine actions. These may be forms of several input fields. Additionally, scripts for testing validation messages should be prepared. Remember to double-check the process for filling out the form with invalid data as well as the validation procedure.

Long end-to-end scenarios also should be automated. For example, consider a scenario for evaluating the Task Management System. For instance, user registration, task development, task assignment to a specific person, task status change, and so on.

Tests that require the use of precise mathematical calculations. This is applicable to applications for analytical and accounting purposes. Also, create automated tests that will run on a variety of hardware and software configurations.

Note that not all assessments can be automated. When it’s time to say “no” to automated testing,

Choose the Best Automated Testing Software

In order to automate tests, you must first choose an automated testing tool. There are numerous automated testing tools on the market, and it is critical to choose the one that best meets your overall requirements.

When choosing an automated testing tool, keep the following points in mind:

• Your platforms and technologies will be supported. Are you putting yourself to the test? What operating systems do you want to run your .Net, C#, or WPF applications on? Will you be testing mobile applications? Do you want assistance with mobile device testing? Do you deal with Android or iOS, or do you have experience with both?
• Testers of all ability levels will benefit from the flexibility. Is keyword testing necessary or can your QA department write automated test scripts?
• Automated tests are simple to build and have a lot of features. Is there a feature for implementing checkpoints to validate values, records, or the main functionality of your application? Does the automated testing tool support both record-and-playback tests and manual test creation?
• Create reusable, maintainable, and change-resistant automated checks for your application’s user interface. Would my automated tests fail if the user interface changes?
• Integrate into the ecosystem you already have. Is your tool compatible with your continuous integration and delivery (CI/CD) pipeline, such as Jenkins or Azure DevOps? Or maybe a test management system like Zephyr? Consider using a defect-management system like Jira or a source control system like Github.
• Testing business software is possible. Is your tool ready to test bundled applications like SAP, Oracle, Salesforce, and Workday right out of the box?

Distribute your Automated Testing Tasks

The design of various tests is usually focused on the ability levels of the QA engineers. It’s critical to determine each team member’s level of expertise and skills and split the automated testing efforts accordingly. Writing automated test scripts, for example, necessitates a thorough understanding of scripting languages and code design patterns. As a result, you’ll need QA engineers who are familiar with the automated testing tool’s script language to complete these tasks.

You can also work with other QA engineers in your department on your automated testing project. Finding defects is more successful when testing is done in groups, and the right automated testing platform helps you to share your projects with several testers.

Produce high-quality test data

For data-driven research, good test data is important. During an automated test, the data that should be inserted into input fields is normally saved in an external file. This information may come from a database or other sources such as text or XML files, Excel sheets. In an automated test, a successful automated testing tool actually understands the contents of the data files and iterates through them. Using external data allows you to reuse and manage your automated tests. The data files can be quickly expanded with new data to add various testing scenarios without having to edit the automated test itself.

Typically, test data is manually created and then saved to the desired data storage location. TestComplete, on the other hand, provides you with the Data Generator, which helps you create Table variables and Excel files to store test data. This method allows you to generate data of any kind (integer numbers, strings, boolean values, and so on) and save it to the defined variable or file automatically. This feature cuts down on the time it takes to prepare test data for data-driven experiments. 

While creating test data for automated tests is tedious, you can devote time and effort to creating well-structured data. Writing automated tests becomes much simpler when good test data is available. The sooner you start collecting high-quality data, the easier it will be to expand existing automated tests as the application evolves.

Create automated tests that can withstand UI changes.

The application under test affects automated tests generated with scripts or keyword tests. The application’s user interface can change between builds, particularly in the early stages. These modifications can have an impact on test results, or the automated tests may stop working for future versions of the programme. The issue is that automated testing tools define and locate an object using a set of properties. A testing tool can use position coordinates to locate an item. If, for example, the control caption or location has changed, the automatic test will be unable to locate the object and will fail.

Before running the automated test against the latest version of the application, you will need to substitute old names with new ones in the entire project. Providing unique names for your controls, on the other hand, makes the automated tests immune to these UI changes and ensures that they continue to function without requiring changes to the test itself. This also removes the automated testing tool’s reliance on position coordinates to locate the control, which is less reliable and prone to failure.

When is it appropriate to use automation?

It is preferable to automate testing for long-term projects (more than a year). The problem is that such projects have a lot of subsystems that need to be evaluated regularly. In addition, the QA team can spend too much time manually running regression tests.

If you have a team of two or more developers, test automation can be appropriate. A developer must ensure that his changes do not break the code of others. Test automation makes it easier to verify this.

When it comes to supporting older versions of your applications, automation is a great choice. You can cover verification of the same features on various configurations by running auto scripts.

When creating software that processes a large amount of data, such as accounting systems, you will spend your entire life manually entering data and evaluating the results. Manual testers are unable to cover a large number of test cases in a short amount of time. Automation, on the other hand, should.

If you develop software according to agile methodology, you should expect quick iterations and regular updates. You don’t have time to do manual regression testing in one sprint. And in this situation, automation would be extremely useful.

If any of the above cases applies to your project, test automation is needed. You should define the following before beginning a project:

• what tests will be automated
• how tests will be automated
• what automation tools to be used

Conclusion

Every programme, regardless of its complexity, is likely to have its own set of testing criteria, and no two development teams are alike. If you’ve already decided to switch to automated testing or are still considering it, it’s critical to understand the best practices for doing so and which methods are best for your business.