Principles / Strategy
Are there any testing principles you have formed over time that may be transferable to us?
Are there any best practices you generally recommend regarding the test pyramid?
What type of functionality should be tested by each type of test: Unit, Integration, Acceptance, Smoke, Component, Contract-based, etc?
Unit Tests
What are some guard rails that would be useful for Unit tests?
What do you mean by “transitive dependency” when assessing a Unit test?
Do you have any recommendations on how we may move away from our current state of tightly-coupled tests in the monolith to something more sustainable to maintain?
Acceptance Tests
We have many Selenium-based (Bokchoy) tests in our monolith that test unhappy paths. Do you have any recommendations for us?
Contract based testing seems to be the new hotness, what are your thoughts on using contract based testing as a replacement for selenium/cypress style tests?
This is in our legacy systems where the backend provides the rendered html/js to the end user.
API Testing
Any past learnings from testing REST APIs?
Any new developments in this space that you’re considering?
Production Testing
Can you share your experiences thus far with New Relic Synthetic-based Testing? When is this tool useful?
Test Data
Any recommendations on how to design and maintain test data used in tests?
Processes
Any processes that you’ve found to be useful for sustaining quality in your organization?
Any pro-tips on facilitating and learning from RCAs?
Can you share your past experiences with annotating tests?
Principles
Test Early and Test Often
Q: What does this mean exactly? TDD?
A: If your definition of done includes tests, automatically come up with some strategy to make that happen.
“Three amigos”: Product Owner, Developer, Tester/QA
If you have a framework, can translate this directly into the tests.
Not just unit tests. Might not want to run full gamut, but the later you test, the higher the cost.
Definition of Done should include updating/writing Automated tests
Annotate your tests
Q: What criteria/annotations to use when determining what unit/e2e tests are most important to always run in CI/CD before shipping to production? (For example if we have tests that take 60 minutes and want to only run 20 minutes worth of tests, what methods can you use to decide on which 20 minutes of test)
A: Assuming that includes unit tests that are already being run and API tests. Are they your fast tests? Or do you have things that are bloated? How much parallelization is available? Selenium, microbenchmarks, etc. What’s important to test depends on the application and strategy.
Q: If all tests were annotated, how to decide which ones are worth running at any given time? How has that ruleset evolved?
A: Depends on the contract within the team or org. Example: There was a company where the full suite took 13 hours to run–had to run that before merge could happen. Created strategies to parallelize, could not break it. “Break anything in the engine and you break the whole company.” Over time as the code became more modular/broken out, teams who made progress with that could run smaller sets of tests for their own development (not more than 20 mins). ask each group which the important tests were. The PR system would run the full set of tests for everyone. At the end of the day, it help set a baseline.
Q: Do annotations give more flexibility in the locations of the tests?
A: Annotations done for integration-level tests, not unit tests (which are co-located with the code).
How to know what unit tests to run: based on feature being tested, property file mapping.
RCAs
Have we thought about using RCAs for our own bugs, including CAT-2s (not just critical outages)? Doing why, not what. Often comes down to people and processes, not code.
Can do reporting by severity and type to get a better understanding of where issues are coming from.
Previous experience: Each team does their own RCA, and then bubble up into a higher level RCA to find common patterns, missing infrastructure, missing training, etc.
Q: Re: Training: How to train testing – how to test, when to use what kind of testing. What are good resources? How do you train people who are new to testing, and how do you keep that level of skill across an org?
Martin Fowler books/articles https://martinfowler.com/testing
Google has a good testing blog to follow https://testing.googleblog.com
Our own conversations internally as we run into issues
Mentoring, e.g. code reviews. Pairing senior to junior folks for close reviews.
Unit tests
Q: Only one assert per Unit test?
A: To help make it obvious what exactly broke when there are failures.
Test/monolith refactoring
Q: How do you even get a handle on the state of unit tests (which are really a big combo of integration test and unit tests)?
A: They created a metadata tool to inspect their tests and try to categorize them (based on test attributes, metadata, annotations), about 3K test classes.
To help address breaking things across applications, when selecting “important tests to run”, if code/tests are coupled across teams, then they need to also share the tests that are run so they know when they’re breaking each other.
As we’re refactoring, start moving those tests around to try to remove dependencies, but this is expensive.
API Tests
How do you know the quality of your tests?
Can use mutation testing tools such as PIT
How effective are your tests?
Examine how much coverage it actually has. Can we replace with cheaper/faster Unit tests?
Types of Testing
Regression
git-bisect helpful to identify things like performance regressions where the test suite is too expensive to run on every commit.
Smoke/Acceptance
Q: What do you mean by acceptance vs. integration tests?
A: Acceptance vs. Smoke vs. Regression is a business decision
Based on what’s acceptable.
If you’re working in Auth, is it acceptable for you to make a change and not run it against any of the applications using it? If it’s not, you’ll probably have an acceptance test.
If those other applications aren’t modular enough, probably worth writing a UI test for that functionality.
Are you going to break everybody else?
Q: Is that assessment of which it is something that happens in collaboration with Product?
A: Developer productivity call, not Product in this case. PO input/decision comes later in smoke testing.
Frontend testing
Curious about test granularity and how to choose what types of automated tests to write for micro-frontends. Jest has “snapshot testing” which we’ve found to result in hard-to-update tests in cases where different snapshots overlap each other.
In writing this, I think it comes down to the “one assertion” principle again - your snapshot test should be snapshotting one thing, not itself and the entire DOM tree below it. Doing the latter is likely to result in changes in one code area affecting many otherwise unrelated tests.
Shweta didn’t have too much guidance, she said. She suggested trying to maintain 80-90% unit test coverage as something that felt right to her.
Q: How is it different without dedicated testers
A: All about the tasks. Came up with check lists and guidelines, sometimes people would rotate through the QA role, but often just came down to tasks. For example, someone can write acceptance tests vs. someone else writing feature. Idea is to identify the work, who does it is not as important.