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The Future Of ALM - All Silos Are Banned

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A presentation by Adam Sandman, presented at InflectraCon 2019, in Cincinnati, OH on September 10, 2019

Published in: Technology
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The Future Of ALM - All Silos Are Banned

  1. 1. The Future of ALM: All Silos Are Banned @Inflectra | #InflectraCon
  2. 2. Adam Sandman Director, Inflectra Programmer from the age of 10 Working in the IT industry for over 20 years Adam lives in Washington, DC, USA @adammarksandman
  3. 3. Session Objectives Explore ALM: Past, Present and Future Discuss How the World is Changing Outline some example “futures”
  4. 4. ALM: The Past
  5. 5. Islands of Data and Process • In our ancient years • we documented requirements and the related test cases • …. without any inner-connection between them • …. and in different tools like:
  6. 6. ALM: The Present
  7. 7. Spira Platform Product management QA Source code Agile Planning Progams & portfolios Risk management
  8. 8. Factors Driving Change Faster Cycles, Continuous Delivery Increased Regulation, Data Privacy, Security Global Supply Chains of H/W and S/W Artificial Intelligence & Machine Learning Data Federation Across Vendors & Suppliers
  9. 9. The Evolution of ALM Customer Product Owner Scrum Master Dev TestTest Dev DBAUI
  10. 10. Scaling to Team of Teams Team 1 Team 3 Team 2 Program Manager Product A
  11. 11. Scaling to Products & Portfolios Product A Product C Product B Product D
  12. 12. Enterprise Planning & Roadmaps Product A Company Strategy & Objectives Product B Product C Product D Infrastructure, DevOps, Culture, Values Customer Support & Service Delivery
  13. 13. Integrated, X-Enterprise ALM Product A Company Strategy & Objectives Product B Product C Product D Infrastructure, DevOps, Culture, Values Customer Support & Service Delivery Product A Company Strategy & Objectives Product B Product C Product D Infrastructure, DevOps, Culture, Values Customer Support & Service Delivery Company 1 Product A Company Strategy & Objectives Product B Product C Product D Infrastructure, DevOps, Culture, Values Customer Support & Service Delivery Company 2 Outsourced Supplier Industry Regulators Other Suppliers Data Privacy Authorities Service & Solution Partners
  14. 14. Improved SCM Baselining Teams and tracks Scheduling Time tracking EVM module Freeform notes Improved instant messenger Fine grained notifications Charts and reports Webhook support Simplified integration with third party tools Resource planning Gannt charts Financial management Enterprise views Portfolio artifact pages TestersDevelopersManagersCross-platform Dynamic Test sets Risk-based testing AI-powered testing
  15. 15. ALM: The Future
  16. 16. The World in 2025?  Developers will be using different tools and frameworks than they do today.  Machine learning and AI will be part of many software projects.  Requirements will describe models that get refined by feedback and coded by computers  Users will be using different interfaces at work – watch, glass, touch, IOT, HUD, VR, etc.  Clouds and systems will be partitioned to address data privacy and regulatory constraints  We will still have human testers, designers, engineers and managers
  17. 17. Example 1: Self-Driving Vehicles  Significant amount of safety & quality documentation (ISO 26262)  Embraces agile methodologies with regulatory oversight  Machine-learning algorithms, high-level user “requirements” tied to self-learning feedback loop  Melding of hardware and software components, external interfaces  Security built into lifecycle (SecOps) Image, courtesy of Waymo, BusinessInsider.com
  18. 18. Example 2: Healthcare IT Systems  Data privacy and compliance rules at the project team level  Need to federate data between project, program and enterprise  Ability to isolate HIPAA, PHI data from management data  Strong audit ability, electronic signatures, traceability and single-sign-on  Agile approach in between specific regulated phases Enterprise Program Project Data Data Data
  19. 19. Example 3: The Virtual Company • No physical office locations, all workers co-work or telework • Collaboration tools integrated highly into work streams • No salaried employees, 100% freelance, contract workers • Strong requirements for time, utilization management • Agile, goal driven freelance approach with rigorous metrics Image, courtesy of YourStory.com
  20. 20. Implications?
  21. 21. Some things to consider… 1. Data is becoming more valuable than natural resources, labor and expertise 2. How do we incorporate AI and ML safely into our software development? 3. What does it mean to be a software worker in the year 2025?
  22. 22. harmony
  23. 23. Questions?

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