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About the author:
Troy is an experienced executive who has been involved in many leading software organizations over 20 years. Most recently, Troy founded Focused Objective to build tools and training for simulating and forecasting software development projects, including the Monte-carlo techniques described in this book.
Forecasting and Simulating Software Development Projects
Effective Modeling of Kanban & Scrum Projects using Monte-carlo Simulation
Forecasting and Simulating Software Development Projects explains how to effectively model Kanban and Scrum projects to get accurate forecasts of cost, delivery dates and staff requirements.
Modeling using Monte-carlo simulation allows rapid what-if analysis to find options that minimize cost and delivery time, whilst maximizing revenue. Simulation lets you hit target delivery dates, and shows the impact of hiring (or losing) staff with certain skillsets, taking software project leadership to a new level of maturity.
Target audience and key takeaways -
Project Managers: Understand modeling and forecast projects, and how to simulate those models to answer questions regarding delivery dates, cost, and staffing needs.
Development Managers and Team Leads: Understand how to reduce the amount of estimation required for cost and date forecasts, and determining what development events cause the most impact.
Executive Leadership: Understand how multiple teams can co-ordinate their forecasts in a methodical way, and provide a consistent approach to risk management and decision making.
Venture Capital Investors: Understand how to obtain reliable cost and date forecasts for potential investments and how to compare different software project investment portfolios.
Topics include -
Simulating Scrum and Kanban project methodologies
Forecasting the probability of hitting delivery date & costs
Hiring the right team size and skill mix
Creating visual animations and videos to sell solutions to others
Finding what model inputs are critical to delivery date
Effective (and minimal) story estimation and grouping strategies
Capturing the project deliverables and story backlog
Modeling development events: defects, added scope and blocking events
Reverse engineering real-world data to improve model accuracy
- Publication Date:
- 1466454830 / 9781466454835
- Page Count:
- Binding Type:
- US Trade Paper
- Trim Size:
- 7" x 10"
- Black and White
- Related Categories:
- Computers / Computer Simulation