Jones, who has worked in programming technology and software research and has written many other books on software, explains the need for better measurements, benchmarks, quality control, and security in software engineering. Drawing from observations of projects in about 600 companies, he shows how a combination of metrics and measurement can demonstrate effectiveness of software engineering methods, and presents 50 best practices for development, maintenance, management, sociology, risk analysis, governance, and renovation of legacy applications. He then explores software engineering 40 years in the future and technical topics such as the role of data mining, intelligent agents and search-bots, and other improvements. He also discusses ways for learning new software engineering information, curricula for engineers and personnel, different kinds of team organization and specialization, project management, requirements and design issues, programming and code development, and measuring programming productivity and quality levels. He includes material on dealing with layoffs and downsizing, the changing economic balance between the US and other countries, and the economics of software during a recessionary period. Annotation ©2010 Book News, Inc., Portland, OR (booknews.com)
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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