Software Engineering Best Practices

Software Engineering Best Practices

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Proven techniques for software engineering success This in-depth volume examines software engineering topics that are not covered elsewhere: the question of why software engineering has developed more than 2, 500 programming languages; problems with traditional definitions of software quality; and problems with common metrics, qlines of code, q and qcost per defectq that violate standard economic assumptions. The book notes that a majority of qnewq projects are actually replacements for legacy applications, illustrating that data mining for lost requirements should be a standard practice. Difficult social engineering issues are also covered, such as how to minimize harm from layoffs and downsizing. Software Engineering Best Practices explains how to effectively plan, size, schedule, and manage software projects of all types, using solid engineering procedures. It details proven methods, from initial requirements through 20 years of maintenance. Portions of the book have been extensively reviewed by key engineers from top companies, including IBM, Microsoft, Unisys, and Sony. Manage Agile, hierarchical, matrix, and virtual software development teams Optimize software quality using JAD, OFD, TSP, static analysis, inspections, and other methods with proven success records Use high-speed functional metrics to assess productivity and quality levels Plan optimal organization, from small teams through more than 1, 000 personnelFor maintenance or defect repair work, the average size is less than 1 function point and seldom tops 5 function points. ... Therefore a small iPhone application of 25 function points might have a total of about 60 bugs, of which 6 will still be present ... For embedded and systems software, many one-person software projects are carried out by electrical engineers, telecommunication engineers, automotiveanbsp;...

Title:Software Engineering Best Practices
Author:Capers Jones
Publisher:McGraw Hill Professional - 2009-11-05


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