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Technical backlog usage instructions at PM FWda...

Nikita Galkin
September 10, 2017

Technical backlog usage instructions at PM FWdays 2017

Nikita Galkin

September 10, 2017
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  1. Nikita Galkin Love and Know: ▰ how to make developers

    and business happy ▰ technical and process debt elimination Believe that: ▰ Any problem must be solved at the right level ▰ Software is easy. People are hard ▰ A problem should be highlighted, an idea should be "sold", a solution should be demonstrated Last Talks: ▰ Docker for Node.js developer ▰ 5 production Node.js stories ▰ Testing in Node.js World ▰ TypeScript for Node.js applications ▰ Spec driven development in Microservices Links: Site GitHub Twitter Facebook 2
  2. 4

  3. 5

  4. Project is alive. Scrum is failed. Why? 7 ▰ Bad

    Product Owner and/or DoR? ▰ Bad Scrum Master and/or Ceremonies? ▰ Bad Team and/or DoD? ▰ Bad Backlog? ▰ All of that?
  5. Project is alive. Scrum is failed. Why? 8 ▰ Product

    Owner and DoR ▰ Scrum Master and Ceremonies ▰ Team and DoD ▰ Backlog ▰ So what’s the issue?
  6. What is Quality? 11 Attributes: ▰ Portability ▰ Reliability ▰

    Efficiency ▰ Usability ▰ Testability ▰ Understandability ▰ Modifiability
  7. Who takes care of which attribute? 12 ▰ Portability –

    DevOps Engineer ▰ Reliability – Product Owner ▰ Efficiency – System Architect ▰ Usability – UX/UI Designer ▰ Testability – QA Engineer ▰ Understandability – Developer ▰ Modifiability – Developer
  8. Which type requirements has every attribute? 13 ▰ Portability –

    DevOps Engineer – Non-functional Requirements ▰ Reliability – Product Owner – Functional Requirements ▰ Efficiency – System Architect – Non-functional Requirements ▰ Usability – UX/UI Designer – Non-functional Requirements ▰ Testability – QA Engineer – Non-functional Requirements ▰ Understandability – Developer – Non-functional Requirements ▰ Modifiability – Developer – Non-functional Requirements
  9. How store Non-functional requirements? 15 ▰ In DoD – DoD

    will be too big. ▰ In their own specification – nobody will read. ▰ In Acceptance Criteria for specific story – regression testing will be very difficult. ▰ In special backlog AKA Technical backlog – this is our approach!
  10. How store Non-functional requirements? 17 ▰ Your outsource company has

    business model where “Developers are always scapegoats“ ▰ You live in perfect world ▰ You work in a startup company ▰ There is Chuck Norris in your development team ▰ You hide real picture from customer
  11. 19 Doing things the quick and dirty way sets us

    up with a technical debt which is similar to a financial
  12. Reason of technical debt 20 ▰ Prudent decision, because “Deadline

    is coming” ▰ Reckless decision ▰ Unaccounted non-functional requirements ▰ Technical Inflation
  13. User story VS Tech story 23 ▰ a non-functional requirement

    that describes the functionality supporting the user-facing features in User Stories. ▰ It contains the team members expectations about project needs. ▰ describes what the user does with the software and how the software responds. A User Story is a functional requirement that resembles a use case and test case. ▰ It contains the product owner expectations about customers needs.
  14. Product backlog VS Technical backlog 24 ▰ Consist of technical

    stories ▰ Non-functional requirements ▰ Demo for development team ▰ Delivery as artifact (package, document, etc) ▰ Consist of users stories: As a <persona> I want <goal> So that <reason> ▰ Functional requirements ▰ Demo for PO and stakeholders ▰ Delivery as working software
  15. Types of Technical Stories 26 ▰ Product Infrastructure. For example,

    new microservice or Database. ▰ Team Infrastructure. For example, new feature for CI ▰ Refactoring. Changes in codebase for improving maintainability. ▰ Bug fixing. ▰ Spike. When it’s time for R&D adventure
  16. Our approach 27 Our JIRA types: ▰ Technical story with

    estimates, demo and the template “As ... I want to ... So that ...” ▰ Bug, without estimates and demo, but with template ▰ Task with free structure
  17. Technical backlog source 29 ▰ Postmortems or Production incidents research

    ▰ Architecture board review ▰ Grooming ▰ Input from Development team ▰ Domain Design Review
  18. Selling algorithm 31 1. Identify/highlight problem 2. Assessing the consequences

    of not solving the problem 3. Make sure that decision makers aware that this is a problem and know the assessment 4. Generate solution(-s) and estimate(-s) 5. Get a confirmation
  19. Examples 32 ▰ Losing data during deploy ▰ Gap in

    domain ▰ Security issue ▰ Memory leak ▰ Review bugfix pull request
  20. 33 THANKS! BE AWESOME! BE AGILE! You can find me

    on Twitter as @galk_in Slides are available at speakerdeck.com/galkin or at my site galk.in