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Software Metrics. A Rigorous Approach
Abstract
From the Publisher: This book is the Second Edition of the highly successful Software Metrics: A Rigorous Approach. The book has been comprehensively re-written and re-designed to take account of the fast changing developments in software metrics, most notably their widespread penetration into industrial practice. Thus there are now extensive case studies, worked examples, and exercises. While every section of the book has been improved and updated, there are also entirely new sections dealing with process maturity and measurement, goal-question-metric, metrics plans, experimentation, empirical studies, object-oriented metrics, and metrics tools. The book continues to provide an accessible and comprehensive introduction to software metrics, now an essential component in the software engineering process. Software Metrics, 2/e is ideal for undergraduate and graduates studying a course in software metrics or software quality assurance. It also provides an excellent resource for practitioners in industry.
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Citations
Cited by
Fenton, N. E., & Neil, M. (2000) · Proceedings of the Conference on The Future of Software Engineering · doi:10.1145/336512.336588 · Cited by 317
Conducting on-line surveys in software engineering
Punter, T., Ciolkowski, M., Freimut, B., & John, I. (2003) · 2003 International Symposium on Empirical Software Engineering, 2003. ISESE 2003. Proceedings. · doi:10.1109/isese.2003.1237967 · Cited by 193
Sfetsos, P., Stamelos, I., Angelis, L., & Deligiannis, I. (2006) · Lecture Notes in Computer Science · doi:10.1007/11774129_5 · Cited by 49
Metadata
- Venue
- Journal of Information Technology
- Publisher
- SAGE Publications
- Published
- 1991-09
- Volume
- 6
- Issue
- 3-4
- Pages
- 237-238
- ISSN
- 0268-3962 (ISSN-L)
- 1466-4437
- OpenAlex
- W2110621571
- Cited by
- 843
- References
- 0
- FWCI
- 136.03
- Type
- journal article
- Language
- en
- Open access
- closed
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- Software Metrics. A Rigorous Approach. (1991). Journal of Information Technology. https://doi.org/10.1177/0268396291006003-421
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
