Software Estimation: Demystifying the Black Art by Steve McConnell

Software Estimation: Demystifying the Black Art



Download Software Estimation: Demystifying the Black Art




Software Estimation: Demystifying the Black Art Steve McConnell ebook
Format: pdf
ISBN: 0735605351, 9780735605350
Page: 629
Publisher: Microsoft Press


The title alone shows how difficult it can be. A great book that helps detail many different techniques used to improve software estimation is by Steve McConnell, titled “Software Estimation, Demystifying the Black Art”. [1] http://www.youtube.com/watch?v=Q5k7a9YEoUI. Software Estimation: Demystifying the Black Art. Steve McConnell, CEO and Chief Software Engineer at Construx Software, presents the idea of a “Cone of Uncertainty” in his book “Software Estimation: Demystifying the Black Art (2006)”. The Mythical Man-Month: Essays on Software Engineering. Bertrand Meyer Object-Oriented Software Construction (2nd Edition) + Steve McConnell Software Estimation: Demystifying the Black Art * Mike Cohn User Stories Applied: For Agile Software Development - Donald E. Software Estimation: Demystifying a Black Art. Information in this books can applied to agile development as well to the classi. IEEE Transactions on Software Engineering, 32, 971-987. Earlier this year I attended Steve McConnell's Software Estimation in Depth course based on his book Software Estimation: Demystifying the Black Art. "Software Estimation: Demystifying the Black Art", Microsoft Press, 2006. 0735605351 - Software Estimation: Demystifying the Black Art - Often referred to as the "black art" because of its complexity and uncertainty, software estimation is not as hard or mysterious as people think. The contrast with Steve McConnell's latest book, Software Estimation: Demystifying the Black Art couldn't be clearer. Steve McConnell explains how software estimation is more a science than an art. McConnell, Steve 2006: Software Estimation: Demystifying the Black Art. McConnell describes the difference between science and art of estimation. Describes lots of factors we normally overlook during estimation. He describes about 90% accuracy, the value of historical data and politics. Design Patterns: Elements of Reusable Object-Oriented Software.