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Imagine developing a complex software product without taking any action to protect against errors. Human error and unexpected code combinations can cause a wide range of defects. This is where quality assurance (QA) documentation comes in.
QA files are created in the direction of the bug handler to manage these defects confidentially. They serve us as a roadmap, ensuring a clean and efficient QA process and making it easier to have a clean conversation between the fixers and the testers.
But you might be wondering – why do we need QA documentation?
QA testing is essential in IT products today. Tight deadlines, unique skill sets within the organization, and the demand to develop products stress the need for a structured methodology. QA documentation guides testers through levels of clarity and overall coverage.
I've written this article to make your life a bit easier. So here it is, your ultimate guide on how to write software QA documentation that will work.
Developing great software requires a thorough and documented approach to testing. Everything begins in the development phase with a complete checkout plan as a template for the entire QA process. It outlines the general requirements, defines the followed route, identifies the necessary assets, and sets a simple timeline for achieving the objectives.
Before you start implementing your test plan, take some time to think about the big picture. Ask yourself:
What problem does this software solve? As soon as you understand the main purpose of the software, you'll be able to manage the checkout process and identify the features that are most important to your goals.
I promise that once you see that you can do this, you quickly prioritize your efforts. They are based primarily on the importance of the functionality and its impact on the user.
The test plan is the central part of the QA technique. The test plan should contain the following key elements:
A well-developed roadmap will ensure that key issues are addressed throughout the improvement approach:
The test progress report is another part of the QA documentation, similar to the test plan, but with additional data on current progress. This document allows you and your development team to monitor project progress and identify any organizational issues.
A test plan and a progress report
Think of each test case as a detailed recipe for finding potential defects in the functionality of a software program. By following these "recipes" and evaluating the expected and actual results, defects can be accurately identified and addressed before preventive action is taken.
Each test case acts as an independent unit, outlining the steps required to evaluate a particular element of a software program.
Below is a breakdown of the key elements that make up a well-defined test case Here is my step-by-step guide for creating test cases:
All QAs typically include the above elements, but can also be designed specifically for the task selected by the QA group. Also, each control case follows a lifecycle that defines the phases of creation, testing (pass, fail), completion, and so on.
In the next section, we’ll check out another important element of QA documentation: the defect report.
Test cases
Defect reporting is an important element of QA documentation. Issue tracking is the detailed reporting of sudden problems that arise in a software product. Careful documentation of these issues lays the groundwork for a complex and bug-free final product.
Sounds simple, right? Yes, but only until you start documenting.
A defect report
The bug report consists of the following sections: Identifier, Summary, Description, Steps to Reproduce, Reproducibility, Severity, Priority, Environment, and Attachments.
My structure provides detailed information, so you can empower developers to effectively diagnose, address, and eliminate any software bugs. In this way, leading to more user-friendly and robust products.
Now, in the next section, we'll see some useful tips you can use for defect report writing.
The final and one of the most important elements of QA documentation is the defect report. You may understand it covers the entire lifecycle of a problem, from its initial discovery to its final closure.
Let's now examine the key areas of this process:
a defect report lifecycle
We'll go over the defect report lifestyle piece by piece:
This adventure begins with the careful compilation and submission of a report on the entire program. This serves as a roadmap for developers and provides a clear assessment of the problem.
The task manager or technical lead takes on the role of gatekeeper at this stage. They carefully compare the files. If the file contains enough elements to work with, it is assigned to the developer and repaired. However, if the file is missing essential elements, it may be rejected for further improvement.
The assigned developer takes the initiative and works diligently to eliminate the annoying bug.
Once the developer claims to have fixed the problem, it's your turn as QA. Carefully verify the fix by retesting the functionality in question. If everything works as it should, you are done.
The documentation has come to a happy end. Ideally, this will happen within a reasonable period of one to two weeks.
But it is not always that simple. If it is known that bugs are still being made in the validation system, there is no need to despair!
Re-open the bug documentation and send it to the developers for further attention. Sometimes the process of fixing bugs is repetitive and requires patience. But by being careful and effective, you can guarantee that all bug reports will eventually reach their final destination, resulting in a more polished and reliable software application product.
Quality Assurance is a process you simply cannot avoid. Each airplane prior to departure undergoes a technical check. If there is any issue, the aircraft is grounded until the problem is solved. The same goes for any software.
But QA documentation is not always "write and ignore". At some point in the software development lifecycle, QA documentation needs to be continually updated and improved as requirements change, new features are introduced, and feedback is received from deployment and production use.
There are also a growing number of styles that use synthetic intelligence and machine learning to partially automate the creation of QA documentation.
For example, natural language processing (NLP) is used to analyze requirements documents and generate draft control examples. Test bots can use NLP to interpret and routinely execute directed test cases. Predictive evaluation can also be used to identify the most dangerous areas of a software program that require more detailed control.
While these strategies are still new and not mature enough to replace human testers, they can help with growth and augment manual exploration, especially for large and complex builds. By making QA documentation a collaborative and ongoing hobby, your team can deliver better software faster and with fewer defects.
My company KeenEthics provides solid development and quality assurance services. In case you need an estimate for a similar project, feel free to get in touch. If you have enjoyed the article, you should continue with How IT Outsourcing Saves Costs for Your Company and Avoiding Pitfalls in IT Outsourcing: Tips for Minimizing Risks.