Value Stream Mapping for Software Delivery Teams
Value Stream Mapping for Software Delivery Teams
About the Book
Value Stream Mapping (VSM) is a powerful tool for software development teams aiming to improve efficiency, reduce waste of their day to day and week to week activities. Within a culture of continuous improvement, and a team belief some things can be improved incrementally, greater value can be delivered to customers more often and with less bugs.
Luc and Paul's book talks through the history of lean/agile improvements, value stream mapping, differences when it comes to software development, and comes with an 'app' for you to use in whole-team VSM activities towards running experiments for improvements.
About the Authors
Table of Contents
- Authors and Acknowledgements
- Preface
- Before reading this book
- A brief history of process improvement
- A brief history of Software Development and process improvement
- Basics of a value stream
- Definition
- Standard representation
- Our diagram shapes lines and terms
- Widths for left-to-right lines and boxes
- The application we have made for the book
- Value Stream Mapping and our Continuous Improvement model
- Prerequisites to team mapping meetings
- People have to be ready for change
- There needs to be top-down support
- Language and perspective
- Understanding and dealing with defects
- Methodology
- Picking the right work-stream
- Participants and Collaborators
- Facilitating your Value Stream Mapping session
- Invitees
- Do’s and don’ts
- Creating a software-dev VSM:
- Description of the science at the start of a meeting
- The first diagram drawn in front of the team
- Getting the team to move to more accurate estimates
- Changes to the VSM are good
- Picking up the pace or filling in the blanks
- The rightmost activity
- An upstream activity next?
- The allure of empirical data
- Determining all the activities
- Reviewing meeting products after the meeting
- Follow-up meeting: picking an experiment
- Towards an experiment: appreciating failure is important
- The scientific method (experimentation)
- A Template for experiments
- Actually picking and running your first experiment
- Measuring the experiment’s outcome
- Picking subsequent experiments
- Challenges for software development and delivery
- Suggested experiments
- Symptoms
- Advanced Value Stream Mapping
- Understanding and reducing variability
- Reducing variability
- Understanding and managing queues
- Enriching your Value Stream with additional information:
- Case Studies
- Stylized Problematic Software Delivery Team
- Conclusion:
- Appendix 1 - Rationale for our approach
- Why Theory of constraints?
- Why Value Stream Mapping?
- Limitations
- Appendix 2: Stylized Coffee Shop VSM and experiments
- Example 1: A Regular Coffee Shop’s experiments
- Example 2: The “Drunk’n Coffee shop” (TM) experiments
- Appendix 3: A famous historical failed experiment
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