Publisher's Note: Products purchased from Third Party sellers are
not guaranteed by the publisher for quality, authenticity, or
access to any online entitlements included with the product. Proven
techniques for software engineering successThis 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,
"lines of code," and "cost per defect" that violate standard
economic assumptions. The book notes that a majority of "new"
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 personnel
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