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Software Estimation: Demystifying the Black Art Steve McConnell
Publisher: Microsoft Press

Pick up Steve McConnell's book "Software Estimation: Demystifying the Black Art" if you want a nice introduction to the voodoo that is estimating. In a nutshell, he writes that he was reading the book "Software Estimation: Demystifying the Black Art". ISBN: 0735605351, 9780735605350. This looks interesting: Software Estimation Demystifying the Black Art. Steve is the author of Software Estimation: Demystifying the Black Art (2006), Code Complete (1993, 2004), Rapid Development (1996), Software Project Survival Guide (1998), and Professional Software Development (2004). In “Software Estimation: Demystifying the Black Art”, Steve McConnell brings forth all sorts of industry data that shows that the problem with software development estimation is underestimating, not overestimating. Book: Software Estimation Demystifying the Black Art. Programmers often consider estimating to be a black art—one of the most difficult things they must do. Many programmers find that they consistently estimate too low. The folks at Construx have published a nice explanation of the cone of uncertainty – an adaptation of an idea from Steven McConnell's Software Estimation: Demystifying The Black Art (2006). To take advantage of Agile development, do you have to give up the estimation that your business needs? To counter this problem, they One project manager wanted to add a few days to the beginning of an iteration so his team could "hit the ground running" and have a higher velocity to show to stakeholders. Software Estimation: Demystifying the Black Art Steve McConnell ebook pdf. I've been reminded of a few important tenets doing this estimating processes. A couple of days ago I read Peter Seibel's Blog-Post Software estimation considered harmful?. Publisher: Microsoft Press Language: English Page: 629. That's why I'm glad that superstar Steve McConnell dumped his wisdom into Software Estimation: Demystifying the Black Art. McConnell describes the difference between science and art of estimation. He describes about 90% accuracy, the value of historical data and politics. Describes lots of factors we normally overlook during estimation.