It takes the average reader 2 hours and 49 minutes to read Forecasting and Simulating Software Development Projects by Troy Magennis
Assuming a reading speed of 250 words per minute. Learn more
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
Forecasting and Simulating Software Development Projects by Troy Magennis is 166 pages long, and a total of 42,496 words.
This makes it 56% the length of the average book. It also has 52% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 3 hours and 52 minutes to read Forecasting and Simulating Software Development Projects aloud.
Forecasting and Simulating Software Development Projects is suitable for students ages 10 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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