Testing Type


Smoke Testing Conducted when new software functionalities are developed and integrated into the existing build deployed in the QA/staging environment, Smoke Testing verifies the correct functioning of critical features.


Sanity Testing, also known as a subset of regression testing, is a focused and narrow verification process. It is typically performed after a specific change in the code or functionality to ensure that the essential components or features are still working as expected. Unlike comprehensive testing, sanity testing aims to quickly verify specific functionalities without conducting an exhaustive examination of the entire application.


White Box Testing, also called Clear Box or Glass Box Testing, scrutinizes the internal architecture and code of software. Testers with code design knowledge meticulously assess control flow, data flow, and logic to find errors. The aim is comprehensive coverage of code paths, enhancing software reliability and efficiency by validating internal workings. This method offers insights into code adherence to design specifications, revealing hidden issues not apparent externally. White Box Testing is crucial for ensuring high code quality and robustness in software development.


Black Box Testing is a software testing method that focuses on evaluating the functionality of an application without examining its internal code or structure. Testers treat the software as a “black box,” meaning they are unaware of its internal workings and focus solely on input and output behavior. This approach ensures that testing is conducted from the user’s perspective, emphasizing validating the software’s adherence to specified requirements. Black Box Testing encompasses various techniques, including functional testing, non-functional testing, and acceptance testing. It is particularly valuable for uncovering discrepancies between expected and actual system behavior, regardless of the underlying code implementation.


A Test Plan is a detailed document specifying the objectives, scope, approach, resources, schedule, and deliverables for a testing project. It serves as a roadmap, guiding the testing team in systematically validating a software product to meet requirements. This crucial document outlines the testing environment, scenarios, cases, data, and addresses potential risks. Its purpose is to ensure organized and effective testing, contributing to the overall quality and reliability of the software within the constraints of time and resources.


A Test Strategy is a high-level document that outlines the overall approach, goals, and methods for software testing within a project. It provides a framework to guide the testing process and ensures alignment with the project’s objectives. The Test Strategy includes information about test levels, test types, testing environments, resources, schedule, and entry/exit criteria. It serves as a roadmap for making informed decisions about testing activities, resource allocation, and risk management. The Test Strategy is typically created during the early stages of project planning and provides a foundation for developing more detailed test plans and test cases throughout the software development life cycle.


A good test case is like a clear roadmap for checking if software works well. It needs to match what the software is supposed to do and be easy for anyone to follow. It should be specific about what to check and what to expect. Each test should be independent, so one doesn’t mess up another. It’s also good to try different situations, like good and bad inputs. The test should connect back to what the software is supposed to do. And, of course, it should be simple to do and do again.


A use case describes how a user interacts with software to achieve a specific goal. It includes the actor (user or system), goal, main flow, alternative paths, preconditions, postconditions, and extensions. Use cases guide software development by focusing on user needs, helping create functional requirements. For instance, in e-commerce, a use case could be “Make a Purchase,” detailing steps like selecting items, adding to the cart, entering payment, and confirming. This ensures the software aligns with user expectations.


A test case is a detailed set of conditions or steps used to determine if a software application functions as intended. It includes specific inputs, execution steps, and expected outcomes. Test cases are crucial in software testing to identify and rectify defects. A good test case is relevant, clear, specific, and independent, ensuring comprehensive coverage of system functionalities. Examples include verifying login functionality or validating data input. Test cases help maintain software quality by confirming that it meets specified requirements.


Regression Testing is performed to ensure that recent code changes, updates, or additions to a software application do not negatively impact the existing functionalities. It involves retesting the previously tested features to confirm that they still work as intended after the introduction of new code.


Unit Testing is the process of testing individual units or components of a software application in isolation. The goal is to validate that each unit of the software performs as designed. Unit Testing helps identify and fix bugs at an early stage of development, ensuring that each module or function operates independently and correctly. Developers often use automated testing frameworks to execute unit tests, providing a quick and efficient way to verify the functionality of individual code units.


Acceptance Testing is the final stage of software testing that verifies whether a product meets specified requirements and is suitable for delivery to end users. It includes User Acceptance Testing (UAT), where end users assess whether the software aligns with their needs, and Operational Acceptance Testing (OAT), which ensures the software can be effectively operated in its intended environment. This testing phase ensures that the software meets business objectives and user expectations, providing the necessary confidence for deployment.


User Acceptance Testing (UAT) is a critical phase in the software testing process where end users assess the software to determine if it meets their specific needs and requirements. This testing is typically performed in a real-world environment that simulates the actual usage conditions. The primary goal of UAT is to ensure that the software functions as intended and is user-friendly. End users execute predefined test cases or scenarios to validate that the system behaves correctly and meets their expectations. UAT provides valuable feedback to developers and stakeholders, helping to identify any discrepancies between the software’s functionality and user requirements before the final release. Successful completion of UAT is often a crucial criterion for deciding whether the software is ready for production deployment.


User Acceptance Testing (UAT) is a crucial phase in the software testing process that involves end users evaluating the software to ensure it meets their requirements. Here’s a general guide on how to conduct UAT:

  1. Understand Requirements:
    • Gain a thorough understanding of the user requirements and acceptance criteria. This knowledge serves as the foundation for creating test scenarios.
  2. Create Test Scenarios:
    • Develop test scenarios based on user stories, business processes, and system requirements. These scenarios should cover a range of typical use cases to ensure comprehensive testing.
  3. Define Entry and Exit Criteria:
    • Clearly define the entry criteria (conditions that must be met before testing) and exit criteria (criteria to determine when testing is complete) for each test scenario.
  4. Select Testers:
    • Identify and select end users or stakeholders who will participate in the UAT process. Ensure they represent the diversity of actual users to cover a broad spectrum of perspectives.
  5. Setup Test Environment:
    • Set up a test environment that closely mimics the production environment to provide a realistic testing experience.
  6. Execute Test Scenarios:
    • Have testers execute the predefined test scenarios, following the steps outlined in the test cases. Encourage them to explore the system as real users would.
  7. Record and Monitor:
    • Record test results, including any issues or discrepancies found during testing. Monitor the testing process to ensure that it aligns with the defined test scenarios.
  8. Collect Feedback:
    • Gather feedback from testers regarding their experience and any issues encountered. This information is valuable for making improvements and addressing user concerns.
  9. Iterative Testing:
    • If issues are identified, work with the development team to address and resolve them. Conduct iterative testing as necessary until the software meets the acceptance criteria.
  10. Approval and Sign-off:
    • Once all test scenarios are successfully executed, and stakeholders are satisfied with the results, obtain formal approval and sign-off from the users or relevant stakeholders.
  11. Documentation:
    • Document the UAT process, including test scenarios, test results, feedback, and any changes made during testing. This documentation serves as a reference for future releases.
  12. Training and Transition:
    • Provide any necessary training to end users and ensure a smooth transition to the production environment once the software is approved for release.
How to determine – How much testing do you need??

The amount of testing needed for a software project depends on various factors, including the project’s complexity, criticality, budget, and time constraints. Determining the appropriate level of testing involves a careful consideration of these factors. Here are some guidelines to help you decide how much testing is needed:

  1. Risk Analysis:
    • Identify and prioritize the most critical and high-risk areas of your application. Focus testing efforts on these areas to mitigate potential issues.
  2. Project Requirements:
    • Understand the project requirements and specifications. The more complex and critical the requirements, the more thorough and extensive the testing should be.
  3. Regulatory Compliance:
    • If your project needs to comply with industry or regulatory standards, you may be required to conduct specific types of testing or achieve certain levels of test coverage.
  4. Budget and Time Constraints:
    • Consider the available budget and time for testing. Find a balance between the desired level of test coverage and the resources at your disposal.
  5. Previous Defect History:
    • Analyze the defect history of similar projects or previous releases. If there’s a history of specific types of issues, allocate more testing resources to those areas.
  6. User Expectations:
    • Understand user expectations and the potential impact of software failures on end-users. Critical applications may require more extensive testing to ensure a positive user experience.
  7. Test Objectives:
    • Clearly define the objectives of your testing. Different types of testing (unit testing, integration testing, system testing, etc.) have distinct goals and coverage levels.
  8. Automation Suitability:
    • Assess whether certain tests can be automated to improve efficiency and coverage. Automated tests are especially useful for repetitive and high-volume test scenarios.
  9. Continuous Monitoring:
    • Implement continuous monitoring and feedback mechanisms during development. This allows for early detection of issues, reducing the need for extensive testing at later stages.
  10. User Feedback:
    • Gather feedback from end-users and stakeholders. This can help identify areas that may need additional testing or improvements based on real-world usage.

The level of testing required is a dynamic decision influenced by project-specific factors. Regular assessments, risk analysis, and a flexible testing strategy that adapts to changing project needs are essential for determining the appropriate amount of testing for a given software project.