Key Principles of Early Testing
Early testing isn’t just some kind of trend. It’s a key factor in preventing issues from escalating into expensive and time-consuming bugs. Here are the core principles defining early software testing:
Early involvement of testing
The first principle goes like this: testing should commence as early as possible, without waiting for a new product or new feature to be completed. Testers should work alongside developers and key stakeholders to get a grasp of the product’s requirements and business aims and to foresee potential problems that can occur in the process.
Moreover, the insights of QA engineers can be a valuable asset in itself. When involved early, testers can provide feedback on the feasibility of requirements, ensure testability is considered from the very beginning of the project, and suggest improvements that might not be immediately obvious to other members of the team.
We at Testfort recommend involving all people responsible for the quality of the software product as early as you can. The collaborative work between stakeholders, testers, and developers can be the difference between just another middle-of-the-road application and a high-quality product and.
The process of validating the project’s requirements and supporting documentation, which is usually done at the beginning of development without executing a code, is called static testing. QA teams, as well as other people responsible for the product’s future, should perform static testing practices in the initial phase of the project.
Continuous testing throughout development
The second key principle is continuous testing. In Agile development, teams don’t leave testing up to the end of the development cycle. Instead, they integrate into each phase of SDLC. This means that every time a code changes, they perform a series of manual and automated tests to ensure the update hasn’t introduced new bugs or broken down existing functionality.
This approach not only helps catch and resolve issues quickly, saving businesses thousands of dollars that would otherwise be spent on fixing them prior or post-launch but also promotes a culture of accountability, where developers strive to build clean code from the ground up.
Test-driven development and behavior-driven development
Test-driven development (TDD) and behavior-driven development (BDD) methodologies go hand-in-hand with an early testing approach. In Test-driven development, the process begins with writing a failing test case for specific functionality and then developing the code to make the test pass.
BDD, in turn, builds on the principles of TDD but takes it a step further by involving non-tech specialists to evaluate how the app behaves from the user’s point of view. This approach helps make sure that both the technical and business are on the same page from the start, and the product works well and meets user expectations.
Test automation for speed efficiency
Early software testing is closely related to automated testing. If tests were not automated, imagine what testing would be like! By the end of the cycle, these test cases would pile up, requiring a lot of manpower, leading to significant delays.
In addition to bringing structure, automating regression, unit, and integration tests helps free up the QA team from tedious work. Instead of running thousands of tests after each code update and doing routine tasks, they can focus on other more important activities, such as exploratory testing, which can help catch issues that are often missed by automated tools.
By following these principles, teams can prevent many critical errors and save the project budget. Drawing from unfortunate experiences of many development teams, the savings can be huge. A bug found and fixed early in the SDLC is 30 times cheaper to fix than one found later in development, which is too big a figure to simply ignore.