Synopsis
This text describes how software metrics and models can be used by managers, analysts, and programmers to develop more reliable and cost effective sofytware. It provides an introduction to software complexity metrics, the factors which affect software development productivity and cost estimation. It also discusses methodologies and statistical tools suitable for researchers to conduct their own experimental of proposed metrics or models.
Contents
1. The role of metrics and models in software development
2. Software metrics
3. Measurement and analysis
4. Small scale experiments, micro-models of efforts and programming techniques
5. Macrro-models of productivity
6. Macro-models for effort estimation
7. Defect models
8. The future of software engineering metrics and models
References
Appendix A
Appendix B
Index
"synopsis" may belong to another edition of this title.
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Software Engineering Metrics and Models
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Software Engineering Metrics and Models
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