Successfully reported this slideshow.
Your SlideShare is downloading. ×

100% Code Coverage in Real World Software

Ad
Ad
Ad
Ad
Ad
Ad
Ad
Ad
Ad
Ad
Ad

Check these out next

1 of 55 Ad

100% Code Coverage in Real World Software

Download to read offline

If you create software that is planned for continuous enhancements over several years then you’ll need a sustainable strategy for code quality.
Code coverage by automated tests is one important metric, and its value should equal 100 per cent at all times.

This talk will show why this is so and how it can be achieved in real world software (with examples in Java)

By Andreas Czakaj, mensemedia Gesellschaft für Neue Medien mbH

This presentation was held at the W-JAX 2017 conference (https://jax.de/core-java-jvm-languages/100-code-coverage-in-real-world-software/)

If you create software that is planned for continuous enhancements over several years then you’ll need a sustainable strategy for code quality.
Code coverage by automated tests is one important metric, and its value should equal 100 per cent at all times.

This talk will show why this is so and how it can be achieved in real world software (with examples in Java)

By Andreas Czakaj, mensemedia Gesellschaft für Neue Medien mbH

This presentation was held at the W-JAX 2017 conference (https://jax.de/core-java-jvm-languages/100-code-coverage-in-real-world-software/)

Advertisement
Advertisement

More Related Content

Similar to 100% Code Coverage in Real World Software (20)

Advertisement

Recently uploaded (20)

100% Code Coverage in Real World Software

  1. 1. 100% Code Coverage in Real World Software W-JAX 2017 2017-11-09
  2. 2. Once upon a time *** *** Shipment Tracking  Only a few deployments slots per year  per deployment -> $$$  Re-deployment?  wait for next slot  pay more $$$  -> Quality or die!
  3. 3. Why should we want Automated Testing?
  4. 4. Why automated testing? It‘s 2017, so a part of me wants to say… Srsly? Pixabay, License: CC0 Creative Commons
  5. 5. Why automated testing? (1/4) OK… we want automated testing in order to…  Protect against (regression) bugs  Keep confidence & control  Manage knowledge  Ensure long term adaptability  Work faster  Build upon working parts Q = 1..n qi
  6. 6. Systems Engineering: Software Lifecycle (2/4) ”Be nice to future-you“ – unknown People working on software after…  … 1 year? -> new people  … 3 years? -> new > original  … 6 years? -> 0 originals anymore Future “generations“ of team members must be prepared for…  … changes, enhancements etc.  … patches, updates, upgrades, replacements etc. 1 2 5 †*
  7. 7. The Power of Metrics
  8. 8. Reduce complexity to merely binary information (3/4) ”Complexity”by Mark Skipper, License: CC BY 2.0
  9. 9. 9 FAIL
  10. 10. 10 PASS
  11. 11. Testability & Code Design (4/4) TDD promotes these ideas:  If it‘s hard to test…  …it likely has design issues  So don‘t try to find more and more clever ways to test…  … instead change the code to make it more testable  -> Testable is the new clever Test Driven Development & Design
  12. 12. Why should we want Code Coverage?
  13. 13. Why Code Coverage? We want to find out what we don‘t know.  Use it as a checklist  Find blind spots  Find dead, unused code static double divide(double a, double b) { if (b == 0) { } throw new DivisionByZeroException(); } return a / b;
  14. 14. Why should we want 100% Code Coverage?
  15. 15. Why 100% Code Coverage? (1/6)  Tests help a lot…  … for managing the code the tests cover  … for code they don‘t cover test offer no help  That‘s like feeling bigly about having the engine running…  … when you should have all 4 of them running Pixabay, License: CC0 Creative Commons
  16. 16. Why 100% Code Coverage? (2/6)  Maybe you had a reason not to cover some code… at that time…  Will the future team still know that reason?  And, after the usual and inevitable drifts in the code base…  …will the reason still be valid in the future? ”U Turn“ by André-Pierre du Plessis, License: CC BY 2.0
  17. 17. Why 100% Code Coverage? (3/6)  Often, bug clump in some areas  As the saying goes: “90% of problems are caused by 10% of the code“  90% Code Coverage means you don‘t cover 10%  What if that‘s THOSE 10%?  No? How can you be sure w/out tests?
  18. 18. Why 100% Code Coverage? (3/6)  OK, that was number magic…  …let‘s put it a different way:  Which code will likely cause more problems:  highly tested code?  untested, potentially even untestable code? Edvard Munch, “The Scream”
  19. 19. 100% Code Coverage to prevent decay (4/6) ”It wasn’t me. It was that way already.“ – my children Prevent decay by “Broken Windows“:  Some code sub-standard… -> more code will follow  … and developers can blame it on the darned legacy code  Instead, have a “No code left behind“ strategy “Broken windows, Northampton State Hospital” by Karan Jain, License: CC BY-SA 2.0
  20. 20. 100% Code Coverage as the Team’s Rule (5/6) Use the power of metrics  Rules that everyone needs to stick to  … objectively measured by a 3rd party  … let the metric “reward“ the team when at 100%  … use the metric to reduce complexity to… “Complexity kills. It sucks the life out of developers […]“ – Ray Ozzie Source: Geek & Poke
  21. 21. 21 FAIL
  22. 22. 22 PASS
  23. 23. 23 For professional developers, automated testing is an obligation. Uncovered Code does not comply to that obligation.
  24. 24. 24 Bottom line… !
  25. 25. 25 There is no reason why you SHOULDN‘T WANT 100% Code Coverage. (There may be reasons why you CAN‘T get to 100%, though…)
  26. 26. Code Coverage is a fallacy just a tool.lielie fallacy It depends on what you use it for… … and how you interpret its output.
  27. 27. How to trick Code Coverage “Ohh, I‘m a liar. Yeah.“ – Henry Rollins  When you run a Test Case it will always cover some code  E.g. assertNotNull(new MyClass())  -> x% Code Coverage  -> 0 value @Test void test_init() { assertNotNull( new MyClass()); }
  28. 28. Just because Code Coverage can be faked does not mean it is irrelevant.
  29. 29. Code Coverage != Test Coverage Code Coverage means…  … code is covered by tests  … but you still can have bugs Code Coverage does NOT mean… … all scenarios are covered -> that would be Test Coverage static double divide(double a, double b) { return a / b; } @Test void test_divide() { double actual = divide(6, 2); assertEquals(3, actual, .1); } // no validations, // weak precision check, // division by zero is possible! // ... Understand the metric
  30. 30. Where Code Coverage cannot be measured “I don't think anybody tests enough of anything.“ – James Gosling Views  JSP, JSTL, JSF and others that allow for markup + conditional code Configuration  Did we test ALL configuration entries?  How can we spot obsolete configs? “Game over”by porpom, License CC BY 2.0, <c:if test="${temp > 18 && temp < 27}"> <p>Let‘s take a walk.</p> </c:if>
  31. 31. Where Code Coverage breaks: Aliens, Trade Offs & Lack of Knowledge
  32. 32. Alien Code Generally: full coverage can be impossible if you cannot change the production code  3rd party code  pasted “alien“ code  generated alien code e.g. XSD to Java, UML to code exports, RAD tools, scaffolding scripts etc  -> consider moving it out (JAR, src, …) Pixabay, License: CC0 Creative Commons
  33. 33. Legacy Code (Your own, untested) legacy code…  static calls  global calls  global state  wrong dependencies  …  …is like alien code to new team members https://www.amazon.de/dp/0131177052/
  34. 34. Conscious Trade Offs Sometimes you find yourself saying: “I don‘t really know…  … what I want yet.“  … how to do it yet.“ -> You need a Proof of Concept (PoC)  But TDD and 100% Code Coverage are hard to do when you don‘t know what to assert  However, professionals should create PoCs only as throw-away code Pixabay, License: CC0 Creative Commons
  35. 35. Lack of Knowledge Things you don‘t know how to test (yet)  Sometimes you need to master the technology first  It may take some time & effort to find solutions for testing  -> Don‘t write testing off for good, keep looking for solutions  + look beyond “The Common Practice™” Image: “Digging the Drain”by International Disaster Volunteers, License: CC BY 2.0
  36. 36. 3 tips that work in The Real World™
  37. 37. Advice #1: Start @ 100%, Stay @ 100%
  38. 38. TDD – Test Driven/First Development Start @ 100%, Stay @ 100% Image by user “Jgu7“ Get familiar with  Test Driven Development  … and the Test First approach
  39. 39. TDD DON‘Ts Start @ 100%, Stay @ 100% “Hexagonal Architecture”a.k.a. “Ports and Adapters”by Alistair Cockburn, Don‘t start on the “outside“, i.e. do NOT start with:  Controllers / Commands  Views  Data Access Objects / Queries  File System Accessors  …
  40. 40. Also, it‘s a psych thing If you start on the outside you‘ll  have slow progress  feel the need for non-Unit tests (i.e. slow tests)  feel the need to mock stuff  have a Coverage below 100%  have less fun (always in debt) Sigmund Freud, Wikipedia
  41. 41. Also, it‘s a psych thing You might make bad decisions  You might put more into the class, e.g. the Controller, than you should…  … to kind of make the effort spent “pay off“  -> poor design and wrong dependencies are possible Pixabay, License: CC0 Creative Commons
  42. 42. The Dependency Rule Inspired by “The Clean Architecture” by Uncle Bob Martin Enterprise Domain specific Controllers “source code dependencies can only point inwards” Actros, MPC, Enterp. Rules Trucker Profile, App Rules DI Container, OSGi SysDate DAOs FS SQL DB NoSQL DB SOAP/REST SQL, Queries
  43. 43. Ports & Adapters / Dependency Inversion  “But the Use Cases and Domain objects need data from the outer layers!”  “How can I read from and write to the outer layer without depending on it?”  -> Dependency INVERSION  -> “Ports” (simplified: outer layers behind interfaces)
  44. 44. Advice #2: Identify the Domain
  45. 45. The “No Logic“ argument ”Tests are for logic. My code does not contain logic “  You might not see any logic…  …but, usually, it‘s there…  …it‘s probably just in the wrong place BIG Controller BIG DAO tiny Service “Weight Training Crossfit Fitness Models” by ThoroughlyReviewed.com, License: CC BY 2.0
  46. 46. Identify the Domain “The Clean Architecture”by Uncle Bob Martin  … yes, it exists  Start at the core: the Domain  … also, it’s the code that’s the easiest to test!  you’ll start at 100% coverage  … then stay at 100%  … while progressing outwards “source code dependencies can only point inwards”
  47. 47. Advice #3: When in doubt, trust the test
  48. 48. Hard to test? -> keep it out Pixabay, License: CC0 Creative Commons Keep your Domain, Rules and APIs clean, i.e. keep  hard to test stuff out  e.g. 3rd party frameworks & libraries  … (especially) if they interfere with testability
  49. 49. Trust the test: If (your own) code is hard to test then it likely has a design problem.
  50. 50. So….? !
  51. 51. Reality Check Our experience shows:  100% Code Coverage is feasible & relevant  However, you might need to code and design differently…  … but that will eventually lead you to Clean Code and Clean Architecture “Big_Data_Higgs”by KamiPhuc, License: CC BY 2.0
  52. 52. Useful Links  Ports & Adapters  Dependency Rule  Clean Architecture (new Book)  DAO / Repository Pattern  3 Rules of TDD  Bowling Game Kata  “The more testing you do…”
  53. 53. 53 Thanks! !
  54. 54. 54 Questions? ?
  55. 55. #HappyHacking! Andreas Czakaj Managing Director IT / CTO mensemedia Gesellschaft für Neue Medien mbH Neumannstr. 10 40235 Düsseldorf, Germany Email: andreas.czakaj@mensemedia.net Twitter: @AndreasCzakaj Blog: https://blog.acnebs.com/

×