Custom Software Testing: Pareto Principle

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Custom Software Testing How We Use the Pareto
Principle

• BT Techsoft

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• Custom software testing is a vital component in
  the journey of software development companies in
  Singapore, where precision meets efficiency.
  Murphys Law and the Pareto Principle are two
  essential ideas that form the basis of their
  strategy. A crucial component of this process is
  the Pareto Principle, which postulates a
  disproportionate link between input and output
  and the likelihood that a project would succeed
  largely with a lower amount of work. Murphys Law
  brings a cautionary perspective, reminding us
  that if something can go wrong, it probably will.
  This blog delves into how these principles guide
  our software testing strategy in Singapore,
  ensuring both effectiveness and preparedness for
  potential challenges.
• Understanding the Pareto Principle in Software
  Testing
• The Pareto Principle is not just a theoretical
  concept it has practical applications in
  software testing. This principle tells us to
  focus primarily on what gives us the most
  significant results. In the context of software
  testing, this translates to prioritising positive
  test cases. Positive test cases are those that
  check if the software functions correctly under
  normal conditions the scenarios most users will
  encounter. By concentrating on these cases,
  testers can quickly identify the majority of
  potential issues with minimal effort.

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• Test Case Development and Classification
• A test case is essentially a set of actions
  executed to verify a particular feature or
  functionality of the software. Each test case is
  like a roadmap, guiding testers through the
  process of evaluating the software. These are
  meticulously crafted by the Singapore software
  development company based on user stories and
  software requirements, ensuring that every aspect
  of the application is scrutinised.
• In custom software testing, we categorise test
  cases into two primary types
• Positive Test Cases These are designed to
  confirm that the software behaves as expected in
  standard scenarios. They are the most common
  situations a user is likely to encounter.
• Negative Test Cases These, conversely, deal with
  less common, often edge-case scenarios. They test
  the softwares resilience against unusual or
  unexpected inputs or conditions.
• Practical Application of the Pareto Principle

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• Applying the Pareto Principle in software testing
  is a strategic process. It starts with the tester
  focusing on the positive test cases. This
  approach is time-efficient, as these cases
  generally take up only about 20 of the testing
  effort but are capable of uncovering about 80 of
  the bugs.
• Heres how it works
• Testers first execute all positive test cases for
  each task, ensuring that the most common user
  scenarios are bug-free.
• Only after all positive test cases pass do
  testers move to negative test cases. This step is
  more time-consuming, taking up the remaining 80
  of the testing time, but is crucial for thorough
  testing.
• The negative test cases delve into less common
  scenarios, uncovering the remaining 20 of bugs
  that could affect a smaller user base but are
  just as critical for overall software quality.
• This technique guarantees a high standard of
  quality while also streamlining the testing
  procedure. Testers may swiftly detect and resolve
  the majority of issues by giving priority to the
  most significant tests, resulting in a strong and
  dependable program for the end user.
• Escaping Murphys Law in Software Testing

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• In the realm of software development companies in
  Singapore, Murphys Law Anything that can go
  wrong will go wrong serves as a crucial
  reminder. It highlights the need for preparedness
  against the worst-case scenarios. A common
  pitfall in software development is when new
  features disrupt previously implemented ones. To
  prevent this, regression testing becomes
  indispensable.
• Regression testing, particularly through
  automated tests, is a proactive approach. It
  ensures that new changes or additions dont
  adversely affect the existing functionality.
  Manual regression testing in large projects is
  impractical, as its time-consuming and against
  the essence of the Pareto principle. Automated
  scripts, or autotests, are designed to
  efficiently rerun existing test cases, ensuring
  consistent quality and stability.
• Automating the Testing Process

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• The shift from manual to automated testing is a
  game-changer in software quality assurance. This
  process is divided into backend and frontend
  testing, catering to different aspects of the
  application. Backend testing includes unit and
  API testing, while the frontend focuses on web
  and mobile interfaces.
• Automated testing not only speeds up the process
  but also enhances accuracy. By automating
  repetitive tasks, it frees up QA specialists to
  focus on more complex test scenarios, improving
  the overall effectiveness of the testing process.
• Workflow in Automated Testing
• The workflow in automated testing is a
  collaborative effort. When a backend developer
  creates an API, they also need to provide
  technical documentation and positive auto-tests
  for each feature. These tests are run to ensure
  everything works as intended before passing it on
  to the automation QA tester.

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• Efficiency and Quality Assurance in Automated
  Testing
• Efficiency and quality assurance are at the heart
  of automated testing. When autotests fail, it
  signals a need for action either the developer
  needs to tweak their code, or the autotests
  require updating. This quick feedback loop allows
  for rapid fixes, maintaining the softwares
  integrity.
• This approach not only saves time and resources
  but also secures the software against potential
  errors introduced by new updates. With a
  well-organised auto-testing process, the impact
  of Murphys Law is significantly reduced,
  assuring the stability of the software as it
  evolves.
• Read More Field Service Professionals
  Management Challenges and Solutions

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