- •Contents
- •Preface
- •Acknowledgments
- •About the author
- •About the cover illustration
- •Higher product quality
- •Less rework
- •Better work alignment
- •Remember
- •Deriving scope from goals
- •Specifying collaboratively
- •Illustrating using examples
- •Validating frequently
- •Evolving a documentation system
- •A practical example
- •Business goal
- •An example of a good business goal
- •Scope
- •User stories for a basic loyalty system
- •Key Examples
- •Key examples: Free delivery
- •Free delivery
- •Examples
- •Living documentation
- •Remember
- •Tests can be good documentation
- •Remember
- •How to begin changing the process
- •Focus on improving quality
- •Start with functional test automation
- •When: Testers own test automation
- •Use test-driven development as a stepping stone
- •When: Developers have a good understanding of TDD
- •How to begin changing the team culture
- •Avoid “agile” terminology
- •When: Working in an environment that’s resistant to change
- •Ensure you have management support
- •Don’t make test automation the end goal
- •Don’t focus on a tool
- •Keep one person on legacy scripts during migration
- •When: Introducing functional automation to legacy systems
- •Track who is running—and not running—automated checks
- •When: Developers are reluctant to participate
- •Global talent management team at ultimate software
- •Sky Network services
- •Dealing with sign-off and traceability
- •Get sign-off on exported living documentation
- •When: Signing off iteration by iteration
- •When: Signing off longer milestones
- •Get sign-off on “slimmed down use cases”
- •When: Regulatory sign-off requires details
- •Introduce use case realizations
- •When: All details are required for sign-off
- •Warning signs
- •Watch out for tests that change frequently
- •Watch out for boomerangs
- •Watch out for organizational misalignment
- •Watch out for just-in-case code
- •Watch out for shotgun surgery
- •Remember
- •Building the right scope
- •Understand the “why” and “who”
- •Understand where the value is coming from
- •Understand what outputs the business users expect
- •Have developers provide the “I want” part of user stories
- •When: Business users trust the development team
- •Collaborating on scope without high-level control
- •Ask how something would be useful
- •Ask for an alternative solution
- •Make sure teams deliver complete features
- •When: Large multisite projects
- •Further information
- •Remember
- •Why do we need to collaborate on specifications?
- •The most popular collaborative models
- •Try big, all-team workshops
- •Try smaller workshops (“Three Amigos”)
- •Pair-writing
- •When: Mature products
- •Have developers frequently review tests before an iteration
- •When: Analysts writing tests
- •Try informal conversations
- •When: Business stakeholders are readily available
- •Preparing for collaboration
- •Hold introductory meetings
- •When: Project has many stakeholders
- •Involve stakeholders
- •Undertake detailed preparation and review up front
- •When: Remote Stakeholders
- •Prepare only initial examples
- •Don’t hinder discussion by overpreparing
- •Choosing a collaboration model
- •Remember
- •Illustrating using examples: an example
- •Examples should be precise
- •Don’t have yes/no answers in your examples
- •Avoid using abstract classes of equivalence
- •Ask for an alternative way to check the functionality
- •When: Complex/legacy infrastructures
- •Examples should be realistic
- •Avoid making up your own data
- •When: Data-driven projects
- •Get basic examples directly from customers
- •When: Working with enterprise customers
- •Examples should be easy to understand
- •Avoid the temptation to explore every combinatorial possibility
- •Look for implied concepts
- •Illustrating nonfunctional requirements
- •Get precise performance requirements
- •When: Performance is a key feature
- •Try the QUPER model
- •When: Sliding scale requirements
- •Use a checklist for discussions
- •When: Cross-cutting concerns
- •Build a reference example
- •When: Requirements are impossible to quantify
- •Remember
- •Free delivery
- •Examples should be precise and testable
- •When: Working on a legacy system
- •Don’t get trapped in user interface details
- •When: Web projects
- •Use a descriptive title and explain the goal using a short paragraph
- •Show and keep quiet
- •Don’t overspecify examples
- •Start with basic examples; then expand through exploring
- •When: Describing rules with many parameter combinations
- •In order to: Make the test easier to understand
- •When: Dealing with complex dependencies/referential integrity
- •Apply defaults in the automation layer
- •Don’t always rely on defaults
- •When: Working with objects with many attributes
- •Remember
- •Is automation required at all?
- •Starting with automation
- •When: Working on a legacy system
- •Plan for automation upfront
- •Don’t postpone or delegate automation
- •Avoid automating existing manual test scripts
- •Gain trust with user interface tests
- •Don’t treat automation code as second-grade code
- •Describe validation processes in the automation layer
- •Don’t replicate business logic in the test automation layer
- •Automate along system boundaries
- •When: Complex integrations
- •Don’t check business logic through the user interface
- •Automate below the skin of the application
- •Automating user interfaces
- •Specify user interface functionality at a higher level of abstraction
- •When: User interface contains complex logic
- •Avoid recorded UI tests
- •Set up context in a database
- •Test data management
- •Avoid using prepopulated data
- •When: Specifying logic that’s not data driven
- •Try using prepopulated reference data
- •When: Data-driven systems
- •Pull prototypes from the database
- •When: Legacy data-driven systems
- •Remember
- •Reducing unreliability
- •When: Working on a system with bad automated test support
- •Identify unstable tests using CI test history
- •Set up a dedicated continuous validation environment
- •Employ fully automated deployment
- •Create simpler test doubles for external systems
- •When: Working with external reference data sources
- •Selectively isolate external systems
- •When: External systems participate in work
- •Try multistage validation
- •When: Large/multisite groups
- •Execute tests in transactions
- •Run quick checks for reference data
- •When: Data-driven systems
- •Wait for events, not for elapsed time
- •Make asynchronous processing optional
- •Getting feedback faster
- •Introduce business time
- •When: Working with temporal constraints
- •Break long test packs into smaller modules
- •Avoid using in-memory databases for testing
- •When: Data-driven systems
- •Separate quick and slow tests
- •When: A small number of tests take most of the time to execute
- •Keep overnight packs stable
- •When: Slow tests run only overnight
- •Create a current iteration pack
- •Parallelize test runs
- •When: You can get more than one test Environment
- •Try disabling less risky tests
- •When: Test feedback is very slow
- •Managing failing tests
- •Create a known regression failures pack
- •Automatically check which tests are turned off
- •When: Failing tests are disabled, not moved to a separate pack
- •Remember
- •Living documentation should be easy to understand
- •Look for higher-level concepts
- •Avoid using technical automation concepts in tests
- •When: Stakeholders aren’t technical
- •Living documentation should be consistent
- •When: Web projects
- •Document your building blocks
- •Living documentation should be organized for easy access
- •Organize current work by stories
- •Reorganize stories by functional areas
- •Organize along UI navigation routes
- •When: Documenting user interfaces
- •Organize along business processes
- •When: End-to-end use case traceability required
- •Listen to your living documentation
- •Remember
- •Starting to change the process
- •Optimizing the process
- •The current process
- •The result
- •Key lessons
- •Changing the process
- •The current process
- •Key lessons
- •Changing the process
- •Optimizing the process
- •Living documentation as competitive advantage
- •Key lessons
- •Changing the process
- •Improving collaboration
- •The result
- •Key lessons
- •Changing the process
- •Living documentation
- •Current process
- •Key lessons
- •Changing the process
- •Current process
- •Key lessons
- •Collaboration requires preparation
- •There are many different ways to collaborate
- •Looking at the end goal as business process documentation is a useful model
- •Long-term value comes from living documentation
- •Index
126 Speciication by Example
Don’t overspecify examples
Many teams made the mistake of extending speciications to include all the possible combinations of input parameters once they put the basic automation infrastructure in place. A common explanation for this was that testers were trying to verify additional examples by reusing the automation framework.
The problem with this approach is that the original key examples get lost in a sea of other values. Speciications become hard to understand, which means that they’re no longer self-explanatory.
A speciication that deines three key |
examples |
properly |
is much more useful than one that |
speciies |
a hundred |
examples poorly. |
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An additional problem with this approach is that executing many more examples to verify the same cases requires more time, so it slows down test execution and gives the delivery team slower feedback.
Lisa Crispin’s team ran into this problem while working on automated compliance testing, with rules that are prescribed by the regulators and don’t necessarily follow any logic. Crispin collaborated with her product owner to specify algorithms dealing with many permutations, so they wrote a lot of complex executable speciications several sprints ahead of development. Developers were overwhelmed when they started looking at these speciications. Crispin elaborated:
They [developers] looked at the tests [executable speciications] and were confused; they couldn’t see the forest for the trees. They could not use the tests because they did not know what to code. So we found out that the tests should give us the big picture but not necessarily all the detail right away.
A speciication should list only the key representative examples. This will help to keep the speciication short and easy to understand. The key examples typically include the following:
•A representative example illustrating each important aspect of business functionality. Business users, analysts, or customers will typically deine these.
•An example illustrating each important technical edge case, such as technical boundary conditions. Developers will typically suggest such examples when they’re concerned about functional gaps or inconsistencies. Business users, analysts, or customers will deine the correct expected behavior.
Chapter 8 Reining the speciication |
127 |
•An example illustrating each particularly troublesome area of the expected implementation, such as cases that caused bugs in the past and boundary conditions that might not be explicitly illustrated by previous examples. Testers will typically suggest these, and business users, analysts, or customers will deine the correct behavior.
There is, of course, beneit in reusing the automation structure put in place for key examples to support testers who want to do more testing. Sometimes the easiest way to explore the system behavior with different boundary values is to bolt on more examples to existing speciications. This can make the speciications longer, less focused, and harder to understand.
Instead of complicating the main speciication, create a separate automated test and point to it from the main one. If you use a web-based system for living documentation, you could use a web link to connect the two pages. With ile-based systems, use a ile path or a shortcut in the description of the speciication.
The new test can use the same structure as the original speciication and list many additional examples. The main speciication of a feature will still be useful as a communication tool and provide quick feedback. Additional tests can explore all different combinations for the purpose of extensive testing. The primary speciication can be validated at every change to provide quick feedback. Supplementary tests can run overnight and on demand to give the team conidence in all the additional cases.
Don’t try to cover every single case
A common cause for overspecifying examples |
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by analysts |
or customers tha |
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they will be blamed for |
any missing functionality. With |
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collaborative |
speciication |
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process, |
the |
responsibility |
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getting |
the |
speciications |
correct |
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shared, so there’s |
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no justiication |
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do |
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this. |
André |
Brissette, the |
Talia |
product |
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at |
Pyxis, |
point |
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that out as |
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key |
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learned: |
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for the story. If you think that with those |
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conditions |
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success, |
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OK. |
If |
that |
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not |
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If at the end of the |
sprint, |
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futu |
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it turns out that you were |
missing |
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one |
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everybody. |
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functionality]was not |
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analyst, |
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