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Forecasting and Simulating Software Development Projects : Effective Modeling of Kanban and Scrum Projects using Monte-carlo Simulation by Troy Magennis (2011, Trade Paperback)

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About this product

Product Identifiers

PublisherCreateSpace

ISBN-101466454830

ISBN-139781466454835

eBay Product ID (ePID)116587893

Product Key Features

Number of Pages166 Pages

LanguageEnglish

Publication NameForecasting and Simulating Software Development Projects : Effective Modeling of Kanban and Scrum Projects using Monte-carlo Simulation

Publication Year2011

SubjectComputer Simulation, Desktop Applications / Project Management Software

TypeTextbook

Subject AreaComputers

AuthorTroy Magennis

FormatTrade Paperback

Dimensions

Item Height0.4 in

Item Weight13.6 Oz

Item Length10 in

Item Width7 in

Additional Product Features

Intended AudienceTrade

SynopsisForecasting 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