7 Software Testing Principles You Need to Know

Software Testing is an intrinsic process in the Software Development Life Cycle (SDLC) that reveals the gaps, errors, and defects in the product. Most bugs and errors must be removed during testing to make a software or application perform. The Process is based on the basic Software Testing based on the basic Software Testing Principles allows individuals and businesses to evaluate the software based on the requirements gathered via system specifications and users.  

According to The State of Quality Report 2022 by Katalon, less than 50 percent of businesses use AI to automate Software Testing. While automation and AI have simplified the testing process greatly, there are certain use cases where manual testing is essential. Software Testers with knowledge of these basic principles of Software Testing are in high demand in the Information Technology (IT) domain. Read this complete blog to learn and understand what Software Testing Principles are and why they are crucial in software development.

Table of Contents 

1) 7 Principles of Software Testing 

         a) Testing Shows the Presence of Defects 

        b) Exhaustive Testing is Impossible 

       c) Early Testing 

      d) Defect Clustering 

      e) Pesticide Paradox 

      f) Testing is Context-dependent 

      g) Absence of Error- fallacy  

2) Importance of Software Testing Principles

3) Conclusion 

7 Principles of Software Testing

Software Testing over the years has become an immensely imaginative and intellectual activity for Testers. Therefore, every Software Tester should have at least a rudimentary understanding of these principles. The following seven principles of Software Testing have been defined by ISTQB and are an essential component of their certification. Understanding these principles will ensure high-quality standards and satisfy the clients about the product’s market readiness.   

a) Testing Shows the Presence of Defects 

Software Testing is a means to reveal the defects in a code and not proof of their absence. This process does not confirm that the software is bug-free and completely devoid of issues. This process aims to find ways to fail the software during the testing to identify the errors in the code and get them fixed.  

Testing reduces the number of undiscovered defects in software. However, finding and resolving these issues does not make the software or system 100% error-free. The quality assurance and testing teams should always accept this concept and must manage client expectations accordingly. Clients can be reassured about the testing process with a comprehensive test strategy that includes extensive test plans, reports and statistics, and testing release plans. Once a system goes into production, constant vigilance and monitoring is required. Anticipating potential issues that might arise with the software also mitigates future problems. One example of this might be extensive load testing of a revamped or newly launched website to ensure larger than expected traffic on the site does not break it.

b) Exhaustive Testing is Impossible 

Exhaustive testing is the process of testing a software’s functionality with all possible valid and invalid inputs and pre-conditions. No software can ever be tested for every test and use case. Most software is tested with a certain set of test cases and depending on the results it is assumed that the software is correct and will produce the correct output in every test case. Exhaustive testing will require much larger resources both in terms of time and money and is extremely impractical. Most inputs and outputs have an infinite number of combinations, 100 percent testing of software from every possible perspective is not possible.  

Even considering a simple example where a screen takes two numbers as input and prints their sum as output, an absurd of time and computational power would be required to test for every combination of numbers to validate those results. If a simple two-line code like this is impossible to test exhaustively, how can entire applications and software that run millions of calculations per second be exhaustively tested? Exhaustive testing is just a waste of resources without affecting the overall quality of the product. Using standard black-box testing and white-box testing strategies, the number of test cases for software can be correctly optimised.  

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c) Early Testing 

In the SDLC, testing should ideally start early to detect and rectify any potential mistakes made during the design or requirements phase. Testing should even be done before the coding process begins to discover any errors in the requirements originally set out. This reduces time and money and avoids the hassle of entire code bits being re-written later in the lifecycle. The cost to fix a bug increases exponentially as the development life cycle progresses.   

One of the basic Software Testing Principles is to begin testing early and run it simultaneously with the code-writing process to stop and deal with the problems as early as possible. This is preferable to testing the code once it has been written and helps save time and resources. When the testing team encounters issues or breaks in the code, early feedback to the developers and designers is one of the best ways to overcome the hurdles.

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d) Defect Clustering 

Defect clustering means that some components or modules of software usually contain most of the issues. It is derived from the Pareto principle of 80:20, which means 20 per cent of the code causes 80 per cent of the defects and issues arising in the software. Therefore, segments of the code which are expected to be the most problematic should be tested first, followed by the defects which have been observed.   

In large and complex systems, issues are unevenly distributed. The defect density results from several factors like third-party dependencies and integrations, volatile legacy codes, and complicated systems. Components derived from legacy that undergo constant changes are more volatile and, therefore, more susceptible to clustering. However, this comes with its own set of issues, as repetitive testing of the same module with the same test cases will stop yielding results after a certain number of tries. 

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e) Pesticide Paradox 

Defect clustering and its eradication leads to the pesticide paradox. It is based on the same theory that when a pesticide or insecticide is used repetitively on land, the insects will start developing immunity against them. Similarly, using repetitive tests on a code to get rid of clustering will mean that it will become difficult to detect new defects. 

Reviewing and revising test cases regularly and adding varied test cases will help overcome this issue. Testers must also look for new and emerging techniques to improve their existing processes and make the product bug-free. Using effective code-coverage tools also ensures the given test cases cover all code paths.

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f) Testing is Context-dependent 

Context dependence means different types of applications require different testing techniques. The way you test an off-the-shelf anti-virus software will be entirely different from the tests used for a full-fledged designing tool. Every software being developed is heterogeneous and has its own identity; therefore, different approaches, methodologies, techniques, and types of testing are required for each of them.    

Even multiple software under the same category will require different testing methodologies. An ATM software will have a completely different set of benchmarks and parameters compared to a point-of-sale system at a supermarket.   

g) Absence of Error- fallacy 

Software becomes useless if it fails to fulfil the users' requirements even if it is 99 percent bug-free. Irrespective of its error-free nature, it is only a failure if it lacks usability and has a bad user interface/experience, or if it does not match the user needs. Even the absence of error fallacy would indicate that finding and fixing the bug would not be helpful for the application if it were impractical and inept at accomplishing the client/user's needs.

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Importance of Software Testing Principles

Adhering to Software Testing Principles is crucial for success in developing high-quality software. These principles guide Software Testing Engineers in designing code that is free of bugs, precise, and maintainable. By following these principles, engineers can create effective test cases and strategies that ensure the software meets its intended purpose.

Testing principles not only help in identifying flaws but also provide insights for enhancing the software's effectiveness, usability, and accuracy. They enable testing teams to efficiently uncover hidden defects, optimising their time and effort.

These principles focus on evaluating a software’s functionality, specifications, and performance. Thoroughly confirming and validating technical specifications during design and development helps ensure that user requirements are met, addressing boundary and exceptional cases along the way.

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Conclusion 

There is a myth amongst testers that states that principles are just for reference and they will not use them in practice. This is false, as while these Software Testing Principles can be considered more as guidelines than strict rules, adhering to them makes the life of a Software Tester easier. Experienced Testers have often made these above principles a part of their testing routine and incorporated them into their methodologies to ensure the code is as bug-free as possible.   

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