The Future of ALM: All Silos Are Banned @Inflectra | #InflectraCon.

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Presentation transcript:

The Future of ALM: All Silos Are Banned @Inflectra | #InflectraCon

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

Session Objectives Explore ALM: Past, Present and Future Discuss How the World is Changing Outline some example “futures”

ALM: The Past

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:

ALM: The Present

Spira Platform Product management Risk management QA Source code Agile Planning Progams & portfolios Risk management

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

The Evolution of ALM Dev Dev Customer Product Owner Scrum Master UI DBA Test Test

Scaling to Team of Teams Product A Team 2 Team 1 Team 3 Program Manager

Scaling to Products & Portfolios Product A Product B Product C Product D

Enterprise Planning & Roadmaps Product A Company Strategy & Objectives Product B Product C Product D Infrastructure, DevOps, Culture, Values Customer Support & Service Delivery

Integrated, X-Enterprise ALM Company 1 Company 2 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 Outsourced Supplier Industry Regulators Other Suppliers Product A Company Strategy & Objectives Product B Product C Product D Infrastructure, DevOps, Culture, Values Customer Support & Service Delivery Data Privacy Authorities Service & Solution Partners

Cross-platform Testers Developers Managers Resource planning Gannt charts Financial management Enterprise views Portfolio artifact pages 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 Improved SCM Dynamic Test sets Risk-based testing AI-powered testing Cross-platform Testers Developers Managers

ALM: The Future

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

Example 1: Self-Driving Vehicles Image, courtesy of Waymo, BusinessInsider.com 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)

Example 2: Healthcare IT Systems Enterprise Program Project Data Data Data 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

Example 3: The Virtual Company Image, courtesy of YourStory.com 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

Implications?

Some things to consider… Data is becoming more valuable than natural resources, labor and expertise How do we incorporate AI and ML safely into our software development? What does it mean to be a software worker in the year 2025?

harmony Make great products Help you work together Help you deliver your products faster, more easily, with less pain, and less stress At a grand scale – we’re passionate about making products that you will find transformative to how you work. We both want to use our tools every day to help you do a whole number of complex things, and at the same time get out of your way so you don’t need to worry about SpiraPlan and can instead focus on helping your own customers

Questions?