- •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
Chapter 9 Automating validation without changing speciications 155
The only example where tests described at a lower technical level didn’t cause huge maintenance problems later on was the one I saw from the Sierra team at BNP Paribasin London. They had a set of executable speciications described as interactions with user interface elements. The difference between this case and all the other stories, where such tests caused headaches, was that the Sierra team speciies only user interface functionality, not the underlying domain business logic. For example, their tests check for mandatory form ields and functionality implemented in JavaScript. All their business logic speciications are automated below the user interface.
Raising the level of abstraction would certainly make such tests easier to read and maintain. On the other hand, that would complicate the automation layer signiicantly. Because they have relatively few of these tests, creating and maintaining a smart automation layer would probably take more time than just changing the scripts when the user interface changes. It’s also important to understand that they maintain a back-ofice user interface where the layout doesn’t change as much as in public-facing websites, where the user interface is a shopping window.
Avoid recorded UI tests
Many traditional test automation tools offer record-and-replay user interface automation. Although this sounds compelling for initial automation, record-and-replay is a terrible choice for Speciication by Example. This is one of the areas where automation of executable speciications is quite different than traditional automated regression testing.
Avoid recording user |
interface automation if you can. Apart from |
being almost |
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impossible to |
understand, recorded scripts are diicult to maintain. They reduce |
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the cost of |
creating |
a script but signiicantly increase the cost of |
maintenance. |
Pierre Veragen’s team had 70,000 lines of recorded scripts for user interface regression tests. It took several people six months to re-record them to keep up with signiicant user interface changes. Such slow feedback would completely invalidate any beneits of executable speciications. In addition to that, record-and-replay automation requires a user interface to exist, but Speciication by Example starts before we develop a piece of software.
Some teams didn’t understand this difference between traditional regression testing and Speciication by Example at irst and tried to use record-and-replay tools. Christian Hassa’s story is a typical one to consider:
The tests were still too brittle and had a signiicant overhead to maintain them. Selenium tests were recorded, so they were also coming in too late. First we tried to record what was there at the end of the sprint. Then
156 Speciication by Example
we tried to abstract the recording to make it more reusable and less brittle. At the end, it was still the tester who had to come up with his own ideas on how to test. We found very late how the tester interpreted the user expectations. Second, we were still late in becoming ready to test. Actually it made things worse because we had to maintain all this. Six months later the scripts we used were no longer maintainable.
We used the approach for a few months and tried to improve the practice, but it didn’t really work, so we dropped it by the end of the project. The tests we wrote were not structured the way we do it now, but rather the way a classical tester would structure tests—a lot of preconditions, then some asserts, and the things to do were preconditions for the next test.
Three levels of user interface automation
To write executable speciications that |
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automated through a user interface, |
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think about describing the speciication and the automation at these three levels: |
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• Business |
rule |
level—What |
is |
this |
test |
demonstrating or exercising? For ex- |
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ample: |
Free |
delivery |
is ofered |
to |
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customers |
who order two or more |
books. |
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• User |
worklow level—How |
can a |
user |
exercise the functionality through the |
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UI, |
on |
a higher |
activity |
level? |
For |
example: |
Put |
two |
books |
in |
a |
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shopping |
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cart, enter address details, and verify |
that |
delivery options |
include |
free |
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delivery. |
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• Technical |
activity |
level—What |
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are |
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the |
technical steps required to exercise |
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individual worklow steps? For example: Open |
the |
shop |
home |
page, |
log |
in |
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with “testuser” and “testpassword,” go |
to the “/book” page, click the |
irst |
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image |
with |
the |
“book” |
CSS |
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class, |
wait |
for |
the page |
to |
load, |
click |
the B |
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Now link, and so on. |
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Speciications |
should |
be |
described |
at |
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the |
business rule level. The automation |
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layer should handle the worklow level by combining |
blocks |
composed |
at |
the |
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technical activity level. Such |
tests |
will |
be |
easy |
to |
understand, |
eicient |
to |
write, |
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and |
relatively |
inexpensive |
to |
maintain. |
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For more information on three |
levels |
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of |
UI |
tests, |
see |
my |
article |
“How |
to |
impl |
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ment |
UI |
testing |
without |
shooting |
yourself |
in † the |
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foot.” |
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†http://gojko.net/2010/04/13/how-to-implement-ui-testing-without-shooting- yourself-in-the-foot-2