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Software Testing

Software Testing

An overview of why software testing is important, what methods can be used to test software, and how to integrate testing with development practices.

Some of the code got cut off, visit the original presentation to see it in full: http://nickmccurdy.com/testing-talk/

Nick McCurdy

November 03, 2015
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  1. SOFTWARE TESTING
    BY NICOLAS MCCURDY

    View Slide

  2. WHAT IS SOFTWARE TESTING?
    The process of verifying software to ensure it works as
    expected
    Can be manual or automated
    Whenever it is possible, automated testing is prefered
    because of its repeatability and ease of use.
    In more complex scenarios, some things may only be
    easy to test manually.

    View Slide

  3. WHY SHOULD I TEST?
    To prove that your code satisfies requirements
    To catch bugs faster, before software is out in the field
    To have an unambiguous way of determining if a unit of
    code still works after it is modified (regression testing)
    To add flexibility and efficiency to your project's
    development
    Continuous integration is a great example.

    View Slide

  4. TESTING METHODS
    There are many testing methods that define what aspects
    of a system should be tested and how.
    It is common for specific software projects to use multiple
    testing methods to cover different kinds of defects (bugs,
    performance issues, security vulnerabilities, etc.).
    Many test frameworks and other testing tools are
    available for most popular testing methods.

    View Slide

  5. UNIT TESTING
    The process of testing individual units of code separately
    from each other
    By running unit tests, it is easier to isolate what units of
    code are to blame for bugs.
    Unit tests are considered "white box" tests because they
    involve looking at the internals of an application's code
    and runtime.

    View Slide

  6. WHAT DO WE NEED TO KNOW TO
    WRITE A UNIT TEST?
    The unit we are testing (usually a function or method)
    The test cases we will create to prove the unit functions as
    expected
    Inputs
    Equivalance classes: groups of inputs that should
    result in similar behaviors
    Boundary cases: values on the edges of these classes
    Expected outputs and side effects

    View Slide

  7. UNIT TESTING TIPS
    Try to test with as many equivalance classes of inputs as
    possible.
    Start by focusing on tests for individual methods and
    functions.
    Share common setup between unit tests.

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  8. TEST CASE EXAMPLE
    What should our test cases be?
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  9. UNIT TESTING WITH MINITEST
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  10. MINITEST RESULTS
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  11. UNIT TESTING WITH RSPEC
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  12. c
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  13. INTEGRATION TESTING
    Multiple software modules are tested together to verify
    their communications with each other.
    Spies can be used to wrap interfaces and inspect what
    they are called with.
    Integration tests do not need to know the internals of the
    individual modules.

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  14. ACCEPTANCE TESTING
    The process of testing a program's features to ensure that
    they meet customer requirements
    Acceptance tests give us a way to prove that software
    meets needs and works from a user's perspective.
    Acceptance tests are considered "black box" tests
    because they simulate user actions without requiring
    access to an application's internals (however, they can
    still be automated).

    View Slide

  15. SMOKE TESTING
    The process of performing quick checks to see if there are
    any basic problems with the code that would prevent it
    from running.
    Smoke testing is generally not enough for testing an
    entire application, though it can be useful at earlier
    phases of the testing process.
    EXAMPLES
    Check if there are any compiler errors
    Check if the application launches
    Perform a request on an important API endpoint and
    assert that it returns a 200 (success)

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  16. MOCK OBJECTS
    "Fake" objects that replace the real implementations of
    code
    Very useful for dealing with slow, unreliable, and hard to
    test code that you aren't testing directly.
    Can make tests more flexible, but can also increase the
    amount of complexity in test setup.
    Especially useful for services and HTTP requests.
    Example: Tests for a weather application that relies on a
    third party API.

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  17. TESTING AND PROCESS
    Depending on a project's process model and personal
    development practices, testing may happen after, during,
    or even before development.
    Waiting to test until after all development is done
    (waterfall) can cause difficulties with integrating work and
    verifying if systems themselves or their dependencies are
    broken.

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  18. TEST DRIVEN DEVELOPMENT
    The process of writing test code before implementation
    code.
    1. Plan what you are going to implement.
    2. Write tests (usually unit tests or acceptance tests) for
    what you will implement.
    3. Run the tests (before implementing).
    4. Write the implementation.
    5. Run tests and ensure that the implementation's tests
    pass.
    6. Rinse and repeat until all tests are passing.

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  19. BEHAVIORAL DRIVEN DEVELOPMENT
    Similar to test driven development, but involving more
    process and abstraction. Tests (usually acceptance tests)
    are written to verify specific user stories as they are
    implemented.
    BDD TOOLS
    Test frameworks that focus on heirarchal specifications (like
    RSpec) or executable user stories (like Cucumber) are
    designed for and frequently used for BDD.

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  20. ADDITIONAL RESOURCES
    RSpec Documentation:
    MiniTest Documentation:
    Pair Columbus Challenges:
    CI and CI Talk:
    rspec.info
    github.com/seattlerb/minitest
    paircolumbus.org/challenges
    bbesmanoff.github.io/ci-cd-talk

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  21. QUESTIONS

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