Software Testing in a Distributed Environment
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Distributed development across countries creates both challenges and opportunities for the production of high quality software. We’ll look at new ways of achieving automation for testing software in a continuous delivery context, using parallelization techniques and automated analysis fully integrated with a reliable and scalable SCM system. A new optimal method of testing common code in similar branches is presented along with the semantic merging of testing results.
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Software Testing in a Distributed Environment
- 1. Software Testing in a Distributed Environment Neil Langmead Unrestricted
- 2. 2 The Agile DevOps World Many stakeholders Distributed across teams Huge potential for misunderstanding Lost In Translation… • And this is just English!
- 3. 3 The Distributed Agile World Requirement to: Merge in parallel Stop bugs proliferating Testing Early and Often Fix Before the Merge! Time Zero Fixing Fast Desktop Feedback /main branch BL130 Released to customer devel: john /main/task115 New loading form devel: pat devel: pablo /main/task114 Typo in about form /main/task116 GDI resource leak This check-in introduces a bug, but only “john” will get affected by it until he merges! He has a chance to fix it before affecting anyone
- 4. 4 The Importance of Scalable SCM DSCM systems require as a minimum: Scalability, to 80+ MLOC (e.g. PLM) Robustness, security Efficient branching and merging Automated Workflow, API Rapid Release Cadence
- 5. 5 Process Transformation- Siemens CT Strong correlation in net new coding violations of good practice (blue) along normalized code churn (orange). Post Perforce, new violations flatten to zero- why?
- 6. 6 The Problem of Complexity Complexity Manager is now an official role! LOC estimated to increase by 20% in 2016 Multiple build targets, where only a few source files may differ, complicate the testing process
- 7. 7 The Problem of Technical Debt
- 8. 8 The Problem of Technical Debt Like financial debt, difficult to control/ pay back Accumulates even when we do nothing (e.g. lib versioning) ! The importance of the NULL Release • How long does it take for your organisation, if 1 LOC is changed, to up issue to a new version? • Can be weeks, or even months…
- 9. 9 How Do We Test? Need Total Testing approach • Consider FOSS implications • Logic Flow/ Syntax / Semantic Analysis • Architecture • NFR (reliability ,security…) • Unit Testing / Coverage • BVA, Equivalence Partitioning • Fuzzing • Concurrency/ Threading issues • Proliferation through branching
- 10. 10 How Do We Test? “Connected Desktop” Developer IDE’s connected to build server AND SCM Time Zero Approach • Don’t let the bug grow! On the Fly Analysis • Eclipse, Visual Studio, etc
- 11. 11 How Do We Test?
- 12. 12 How Do We Test?
- 13. 13 Change Based Testing (CBT) How about we only test what’s changed? BUT how do we identify changed components? Tight integration between SCM, Jenkins, JIRA High levels of Automation Continuous Testing
- 14. 14 CBT & Invasiveness • Define & Measure Invasiveness of a defect Compute transitive closure of a change, to assess impact on the system Can be done on feature, defect or enhancement level from the SCM repo
- 16. 16 CBT – Issue Invasiveness • Set of Scripts to interrogate the Helix repository • Selects on IssueID, Author • Cross Referencing Matrix yields the required change metrics, which is then passed to the unit testing tools
- 17. 17 CBT – Least Common Ancestor
- 18. 18 CBT – Least Common Ancestor
- 19. 19 Insights from Repository Analytics (RA) Other insights become apparent from Helix RA: Comparison measures contractor productivity (violations of good practice, contributions, change impact) by project & location.
- 20. 20 Insights from Repository Analytics Other insights become apparent from Helix RA: Comparison measures contractor productivity (violations of good practice, contributions, change impact) by project & location.
- 21. 21 Test Driven Development Analysis Outlying project reveals one developer (ID #1040) who is contributing greatly (i.e. skilled and experienced) but adds few new tests. “1040” needs to on boarded regarding the TDD standard for for greater compliance and project quality.
- 22. 22 Do we now need a Dynamic Architecture? Architecture is the hardest part of a SW system to change Often set early, not very adaptable Expensive, technically challenging “Elastic Architecture” methods required • Component based • Flexible API, “Plug and Play”
- 23. 23 Conclusions Complexity is here to stay Need advanced, efficient methods to reduce test effort Use Branch Per Task/ Test Per Task Change Based Testing Approach to reduce technical debt Time Zero Testing before the Merge Advanced Repository Analysis to gain additional insights Agility in the Architecture is the Next Frontier (Neil’s opinion…) “Continuous Testing” is here to stay
- 24. 24 Demonstration demonstration of the Total Testing Platform, in use at Siemens Thank you for your attention!