Test Automation Framework Design – Framework design considerations:
- Create Wrapper Method: Wrapper methods can enhance library features. Extending this wrapper method improves Selenium error handling and logging.
- Custom Logger: All test script data must be logged into a file. Use this to understand the code. Java’s log4j and Python’s Custom logger are popular.
- Selecting the Correct Design Pattern: The specific design sequence speeds up test case development, prevents minor issues from becoming significant, and enhances code readability. Page Object Model is the most common selenium automation framework design pattern (POM).
- Separate Testing with Automation Framework: Remove the automation framework from test script logic and input data. Readability is improved.
- Arrange Code Folders Properly: Configure the folder structure to read and comprehend the code. Input Data, Test Cases, Utilities, etc.
- Building & Ongoing Integration: Continuous Integration uses a build automation technology to test software following a commit decision.
Considerations of Vital Importance in the Design of a Test Automation Framework
- Separate Scripts and Data – Input data files (e.g., XML, Ms-Excel, or Databases) and code should be kept in their locations, preventing the need to modify automated test scripts every Time data is updated.
- Library — All reusable functions, like database, essential functions, application functions, etc., should be stored in a library, allowing us to call the function instead of having to rewrite the entire program.
- Coding Standards – Coding standards should be consistently applied across any test automation framework. This will promote good coding habits among your team members and aid in preserving code structure.
- Extensibility and Maintenance – A good test automation framework must reliably back up every new program update. e.g., A new library can also be developed to facilitate the more straightforward implementation of feature updates to applications.
- Script/Framework Versioning – You should save the Test Automation Framework/scripts/ scripts in a local folder or some versioning solution, so it is simple to check for changes to the software source.
Test automation metrics
Metrics that make sense for C-suite
It leaves a rich digital imprint in the tool sets utilized throughout the Agile process, from pre-development through development to integration and deployment and beyond into active software administration so that the process can be easily measured.
There are a number of Key metrics that are unique to the automation testing process.
Automated Test Scenarios
This metric estimates how many of a suite’s test cases can be automated as a percentage of the total. This measure can be used to determine which sections should be automated first and which ones require human oversight.
It aids in the development of an effective testing strategy and the establishment of harmony between manual and test automation.
Success of Automation Scripts
This statistic is used for checking whether or not previous results were correct. It is the fraction of a project’s total flaws that were discovered by automated testing as a percentage of all defects reported in the test management system. Knowing what kinds of flaws the scripts can’t find and how variables like context can affect script performance is useful. That’s a low-hanging fruit that might significantly improve the efficiency of certain scripts.
Automated Success Rate
This simpler metric counts the total number of automated tests that succeeded. Determining if there are misleading failures is crucial, as having a low rate of failure indicates that the script’s reasoning is sound and there are fewer flaws to repair. When the latter occurs, it may be an indication that the automation routines are off and require adjustment.
Take a quick look at 4 test automation metrics for your project
Duration of Automated Tasks
Just how long it takes for the automated suite to run from start to finish may be seen here. Given that a script that takes a long time to run may end up delaying production, this is crucial in determining if the automation suite created delivers sufficient ROI.
Compatibility Tests for Automation
In order to keep track of how many times test cases have been run, a black-box technique called “test coverage” has been developed. This measure is useful for understanding how much testing is being done automatically and where improvements might be made within an organisation.
If automated testing is part of your CI/CD pipeline, you can use this statistic to determine how well your tests are functioning by determining the percentage of unstable builds compared to the total number of builds. This reveals how reliable the tests are and if they are adequate to guarantee a stable build gets released to production.
Vanity metrics to be careful of
Vanity metrics are numbers that make you appear great to others but don’t actually tell you anything useful about how you’re doing or what you should do differently in the future. This is true of media figures, corporate executives, and the heads of software testing firms.
Time and experience as a Quality Engineer, Test Lead, and QA Lead have also showed me that some metrics commonly used in the testing and quality assurance industries are, at their core, solely for vanity.
Vanity metrics can be hazardous as well as time-wasting. Humans underestimate their drive to optimize behavior to fulfill targets. Even well-meaning people can be compelled to close the ticket early to feel productive. Finishing is honorable. What would happen if you used “# of tickets closed” as an expectation to be paid incentive?
Vanity metrics have their drawbacks.
The trap of vanity metrics is easy to fall into, which is why many managers do so. They’re easy to get a hold of, don’t cost anything extra, and can give you results in a flash. Speed indeed hurts quality.
Do you monitor test coverage in your newest software project, whether unit, integration, or automated UI tests? Coverage is good, and writing tests help. However, striving for an industry norm of 80% or 100% on it all is not useful. 100% coverage may not find bugs.
Unit tests can cover this 100%. It’s not bug-free. It’s obvious that we won’t catch it if we don’t test edge cases.
Wonderful static analysis tools. They discover problems automatically, aid with code style.
That pleasant, happy sensation when scoring your code 10/10? That’s good, but well-written, coding-standards-compliant code doesn’t necessarily perform the right thing. It’s another tool, however, it shouldn’t be used to indicate product quality.
A 100% test pass rate, like a 100% overall number of tests, is not evidence that there are no problems in the system. Even as a dramatic decline in test pass rates below 70% should raise red flags, so too is a 100% pass rate on tests that don’t actually test the important material.
These are some of the commonalities across vanity metrics:
- Aesthetically pleasing yet not indicative of the actual commercial performance.
- Not paired with a comprehensive examination of the entire funnel.
- Make claims of expansion without providing evidence.
Using the SMART technique while setting corporate goals is another way to spot vanity metrics. Setting SMART goals means making them clear, quantifiable, attainable, pertinent, and time-bound.
Some metrics to avoid and the ones you should be monitoring
The data collected from tests should be used to enhance the testing procedure, not merely for pretty reports.
Effective metrics for keeping tabs on
Metrics in Numbers
You can get accurate readings on quantitative measures.
They have value both as raw data and as a basis for further analysis. Some typical instances are provided below.
Metrics for Evaluating Test Performance
Metrics gathered during performance testing provide insight into the most important features of the product. The effectiveness of your app can be evaluated in terms of how quickly, reliably, and conveniently it performs its tasks. Statistics like the number of requests made per second (RPS), the success or failure rate of transactions, and the longest amount of time it took to respond to a request.
Usability testing costs extra because it requires a focus group. However, usability testing may have a higher ROI than other software testing metrics. Usability testing helps eliminate bias.
Measures for Regression Testing
To guarantee that substantial code changes do not adversely affect any essential features, regression testing is performed. Defect metrics such as defect rate, test execution status, and defect age
Choosing test automation tools
Make sure the Test automation tools you select is capable, robust, versatile, and meets the needs of your project before committing to it. When we talk about a tool being “competent,” “potent,” and “flexible,” we’re talking about its ability to manage both test cases and testing data efficiently. It should be open to integration with other third-party tools for added capability, customization, and simplified testing.
Here’s a comparison table of list of automated testing tools with its pros and cons.
|Automation tools ||Platform ||Languages supported ||Tested apps ||Pros ||Cons |
|Selenium lets you test many browsers on several machines |
Test mobile web, hybrid, and native apps using Selenium WebDriver and Appium.
|Tech-savvy engineers write Selenium WebDriver scripts. |
Checking image display and loading is impossible.
|UFT(Unified Functional Testing) ||Windows ||VBScript ||Web/Desktop/Mobile ||UFT lets developers record and automates manual tests. Sprinter can automate execution reports. |
Your team can save artifacts, functions, and spreadsheets in UFT.
|For scripting purposes, UFT employs VBScript. |
This is a really expensive tool.
You can create or modify the script manually if the visible interface isn’t enough.
High maintenance, support, and updates.
|Prohibits Mac app testing. Test iOS applications on a Mac with virtualization tools. |
|Watir ||Windows ||Java,.Net ||Web ||Watir is one of several Ruby scripting tools. Ruby is excellent for testing since it’s easy to learn and fast to code. ||There aren’t many bad reviews of the program available online, but there also isn’t much content.Those who use Watir claim that it works just well without any further effort on its part. |
|Ranorex ||Windows ||C#, VB.Net, Iron Python ||Web/Desktop/Mobile ||Ranorex creates Selenium WebDriver for the leading automated testing framework. |
For CI development, Ranorex can be connected with Jira, Bamboo, Jenkins, or TeamCity.
Ranorex automates it by using detection and recognition and user scenarios.
|The framework does not support Mac OS and cannot be used to test Mac applications. |
|Katalon Studio ||Windows/Mac ||Java ||Web/Mobile ||Katalon hides its complexity behind the interface but let’s skilled programmers access scripting mode. |
Installing Appium With XCode/Node.js for mobile testing is easy.
Katalon offers well-organized tutorials with photos and videos.
Katalon automatically graphs testing data to show execution.
|Katalon only supports Java and Groovy scripts. |
Despite its large knowledge base, Selenium has more users. You’ll have difficulty finding updated reviews and articles.
Despite its extensive knowledge base, Selenium has more users. You’ll need help finding updated reviews and articles.
Here’s a nugget-sized video on Why Python is a great companion to Selenium test automation
Scaling test automation
After successfully automating your test suites, ensure your automated testing method is scalable and can adapt to changing needs.
- Simple test cases: Test automation helps, but it defeats the point if it requires manual intervention/checking. Test automation should create and update test case scripts to scale.
- Testing simplicity: Simple, rapid, and fast feedback are needed for test execution. It emphasizes speedy analysis and problem-solving, making the approach scalable for significant changes or upgrades.
- Easy-to-maintain tests: Changes are unpleasant, especially if they require extra labour to update test cases. Test automation alleviates this. Test script update ability determines scalability.
- Dependable test cases: Why invest in an automation testing suite if it crashes occasionally? Test results are reliable if test scenarios can be repeated. We are successfully automating tests at scale.
By adhering to some guidelines, such as those provided in the following sections, it is possible to implement test automation at a scalable level.
- Get the proper checks automated
- Regression suites should not be updated until the tests have stabilized.
- Demonstrations of self-repair
- Key performance indicators that can be used in reports
- Enhanced teamwork
Test automation best practices
For a variety of reasons, test automation software is becoming increasingly popular. Test automation best practices in software testing helps businesses save time and money by streamlining routine, repetitive operations.
1.Select tests to automate
Not all tests can be automated since some require human judgment. Therefore, each test automation plan should start by selecting which tests can benefit from automation. Tests with these qualities should be automated:
- Data-intensive repetitive tests
- Tests with human error
- Tests that require many data sets
- Tests across builds
- Tests that require specific hardware, OS, or platform combinations
- Function-specific test
2. Eliminate Uncertainty
Automation ensures consistent, precise test results. Testers must determine what went wrong when a test fails. False – positive and inconsistencies increase the time needed to analyze errors. To avoid this, remove unstable regression pack tests. Automated tests can also miss essential verifications due to their age. Be aware of whether each test is current. Check automated tests’ sanity and validity throughout test cycles.
3. Choose a testing framework or tool:
Automation testing is tool-dependent. Choosing the right tool for you.
Software nature: Web or mobile? Use Selenium to automate testing the former. For mobile automation, Appium is the finest.
Open source or not: One may use open-source automation technologies like Selenium or Appium, depending on funding. Understand that almost all open-source applications are equal to their commercial counterparts. Automated testers worldwide choose open-source Selenium Webdriver.
4. Records Improve Debugging
To discover test failure causes, testers should retain test failure records and textual and audiovisual recordings of the failed scenario. Choose one testing tool that automatically saves browser snapshots at each step. This helps identify the error step. Every QA team must keep track of and report bugs for reference.
5. Data-Driven Tests
A manual test can only assess a few data points. Humans could not perform fast, error-free tests due to the volume of data and variables. Data-driven automated tests simplify the process using a single test and data set to work through several data parameters.
6. Frequent Testing
Automation testing works best earlier in the sprints project cycle. Test frequently. Thus, testers can spot and fix errors promptly. This saves time and money on bug fixes later in development or production.
7. Test Reporting Priority
Automation should save QA teams time validating test findings. Install the proper tools to generate detailed, high-quality test results. Group tests by kind, tags, functionality, results, etc. Each cycle necessitates an excellent test summary report.
Key Advantages of Automated Testing for Enterprises
1. Expands the Scope of Testing:
Test automation, and notably no-code test automation, allows you to quickly and easily test the functionality of your software without writing a single line of code. Increased coverage and better quality are the results of being able to test additional features in a wider variety of applications and setups. Bugs are less likely to be introduced into production and users will have a better experience as a result of extensive test coverage, which is why it’s so important to run tests on every possible scenario. Testers use “requirement coverage by test” as a main parameter to evaluate application quality and automation solution efficacy. The higher the coverage, the more effective the solution and higher the quality of the applications.
2. Adds to Accuracy
Your application’s thoroughness depends on a manual tester’s experience. When properly done, test automation eliminates these parameters and guarantees outcomes. Test automation ensures that your solution executes tasks correctly and reports them impartially.
3. Facilitates Reusability
It’s easy to get discouraged by the apparent interminability of manual testing, particularly regression testing when you consider how often you’ll need to do it. It’s a nightmare to have to write scripts and keep on running these over and over again. When the codebase changes, no-code test automation eliminates the need to manually update the test cases. Instead, your solution generates the test scripts, which you can then reuse and run whenever necessary. You can save even more time if the automation tool you’re using comes with a library of pre-made keywords.
4. Enhanced scalability
Since test automation technologies can conduct tests around the clock, they allow businesses to expand the scope of their testing operations.