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Classification of Advanced AI and ML Testing Tools - DevOps Next
The document discusses the integration of AI and ML tools in DevOps to improve collaboration among development, IT operations, and quality engineering teams, enhancing their ability to deliver reliable products. It outlines various classifications of AI and ML tools, including their capabilities such as self-healing and analytics, and highlights the importance of aligning such technologies with existing DevOps processes. Additionally, it emphasizes the need for identifying practical use cases and solutions that address specific pain points in the development lifecycle.
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Classification of Advanced AI and ML Testing Tools - DevOps Next
- 2. © 2020 PerforceSoftware, Inc. Classification of AI and ML Tools in DevOps E R A N K I N S B R U N E R
- 3. 3 | DevOpsNext 2020 perforce.com Confidentiality Statement The information contained in this document is strictly confidential, privileged, and only for the information of the intended recipient. The information contained in this document may not be otherwise used, disclosed, copied, altered, or distributed without the prior written consent of Perforce Software, Inc.
- 4. ABOUT ME: Eran Kinsbruner •Chief Evangelist, Product Manager, and Author at Perfecto by Perforce • Blogger, Inventor, and Speaker • 20+ years in software development & testing • Author of: • The Digital Quality Handbook • Continuous Testing for DevOps Professionals • Accelerating Software Quality • Twitter: @ek121268
- 5. 5 | DevOpsNext 2020 perforce.com Today’s Agenda 1 2 Introduction to AI/ML DevOps Objectives and the Case for AI/ML 3 Classification of Key AI/ML Tools In DevOps 6 Q&A 5 Not Covered: RPA, Automated Code Reviews, Code Fuzzing and ML, Defects Classifications, Test Management 4 Additional AI/ML Use Case Examples
- 6. 6 | DevOpsNext 2020 perforce.com AI and ML
- 7. 7 | DevOpsNext 2020 perforce.com • A compound of development (Dev) and operations (Ops), DevOps is the union of people, process, and technology to continually provide value to customers. • What does DevOps mean for teams? DevOps enables formerly siloed roles—development, IT operations, quality engineering, and security—to coordinate and collaborate to produce better, more reliable products. By adopting a DevOps culture along with DevOps practices and tools, teams gain the ability to better respond to customer needs, increase confidence in the applications they build, and achieve business goals faster. DevOps Objectives Source: https://azure.microsoft.com/en-us/overview/what-is-devops/
- 8. 8 | DevOpsNext 2020 perforce.com The Impact of AI and ML on DevOps
- 9. 9 | DevOpsNext 2020 perforce.com What Roles Will AI and ML Play in DevOps?
- 10. 10 | DevOpsNext 2020 perforce.com DIFFERENTIAL VISUAL DECLARATIVE Classifications of AI and ML Tools Image-Based Learning • Screen Comparisons • Look and Feel • UI Design, Accessibility Comparing application versions over builds: • Recognizing changes • Classifying the differences • Bugs vs. features ANALYTICSSELF-HEALING Specifying Test Intent • Goal-Based Automation • Natural Language Processing • Domain-Specific Languages Autocorrecting Test Scripts • Element Location • Improved Maintenance • Improved Robustness Autocorrecting Test Scripts • Root Cause Analysis • Test Selection/Prioritization • Test Flakiness
- 11. 11 | DevOpsNext 2020 perforce.com DIFFERENTIAL • The tools in this segment aim to proactively and automatically identify code quality issues, regressions, and security vulnerabilities through code scanning, unit test automated creations, etc. Classification of AI and ML Tools in DevOps
- 12. 12 | DevOpsNext 2020 perforce.com VISUAL Classification of AI and ML Tools in DevOps
- 13. 13 | DevOpsNext 2020 perforce.com DECLARATIVE • Test Automation Methods: • NLP (Functionize) • MBTA (TestModeller.io) • RPA (UIPath) Classification of AI and ML Tools in DevOps
- 14. 14 | DevOpsNext 2020 perforce.com DECLARATIVE Classification of AI and ML Tools in DevOps
- 15. 15 | DevOpsNext 2020 perforce.com SELF-HEALING Classification of AI and ML Tools in DevOps
- 16. 16 | DevOpsNext 2020 perforce.com ANALYTICS Classification of AI and ML Tools in DevOps
- 17. 17 | DevOpsNext 2020 perforce.com Classification of AI and ML Tools in DevOps – Chatbots Testing
- 18. 18 | DevOpsNext 2020 perforce.com Classification of AI and ML Tools in DevOps – Observability Clustering Logs by RulesLogs Filtered By Time and Message
- 19. 19 | DevOpsNext 2020 perforce.com Classification of AI and ML Tools in DevOps – AIOps Source: ScienceLogic Source: Medium.com
- 20. 20 | DevOpsNext 2020 perforce.com Classification of AI and ML Tools in DevOps – TIA
- 21. 21 | DevOpsNext 2020 perforce.com DevOps is Still DevOps – AI/ML Should Fit in the Process Classify Classify the pain and category Identify Identify a POC that makes sense (pain subset criteria) Validate Validate solutions (skills, org. fit) Expand Expand solution to solve the bigger problem Move Move to additional pains
- 22. 22 | DevOpsNext 2020 perforce.com DevOps is Still DevOps – AI/ML Should Fit in the Process Classify the pain and category Identify a POC that makes sense (pain subset criteria) Validate solutions (skills, org. fit) Expand solution to solve the bigger problem Move to additional pains Pick a solution DIY – Do it Yourself OSS – Open Source COTS – Off the shelf
- 23. © 2020 PerforceSoftware, Inc. UP NEXT… Advancing the State of The Art in AI and Testing
- 24.