- Basili, V. and Turner, A. J., "Iterative Enhancement: A Practical Technique for Software Development", IEEE-TSE (1, 4), December, 1975.Google Scholar
- Belady, L. A. and M. M. Lehman. "A Model of Large Program Development", IBM Systems J., vol. 15, No. 3, 1976, pp. 225--252.Google ScholarDigital Library
- Bonanni, L. E. and Salemi, C. A., Source Code Control System User's Guide, Bell Laboratories, Piscataway, N. J.Google Scholar
- Bryan, W., Chadbourne, C., and Siegel S., Tutorial: Software Configuration Management, IEEE Computer Society, IEEE Catalog No. EHO 169-3, 1980.Google Scholar
- Halstead, M. H., Elements of Software Science Elsevier, 1977. Google ScholarDigital Library
- Henry, S. M., Information Flow Metrics for the Evaluation of Operating Systems Structure. Ph. D. Thesis. Iowa State University. August, 1979. Google ScholarDigital Library
- Henry, S. M. and Kafura, D. G., "Software Structure Metrics Based on Information Flow", To appear in IEEE Trans. on Soft. Eng., 1981.Google ScholarDigital Library
- Kafura, D. G. and Henry, S., "A Viewpoint on Software Quality Metrics: Criteria. Use and Integration", To appear in Journal of Systems and Software, 1981.Google Scholar
- Kafura, D. G. and Henry, S., "The Evaluation of Operating Systems' Structure Using Quantitative Software Metrics, "Technical Report. Iowa State University, 1981.Google Scholar
- Kafura, D. G., Henry, S. M. and Harris, K., "On the Relationships Among Three Software Metrics", Proceedings of the 1980 Sigmetrics Symposium on Software Quality Assurance.Google Scholar
- McCabe, T. J., "A Complexity Measure", IEEE Transactions on Software Engineering (2, 4), December, 1976.Google ScholarDigital Library
Recommendations
Performance and cost-effectiveness of change burst metrics in predicting software faults
The purpose of this study is to determine a type of software metric at file level exhibiting the best prediction performance. Studies have shown that software process metrics are better predictors of software faults than software product metrics. ...
Empirical Analysis on Effectiveness of Source Code Metrics for Predicting Change-Proneness
ISEC '17: Proceedings of the 10th Innovations in Software Engineering ConferenceChange-prone classes or modules are defined as software components in the source code which are likely to change in the future. Change-proneness prediction are useful to the maintenance team as they can optimize and focus their testing resources on the ...
Predicting content change on the web
WSDM '13: Proceedings of the sixth ACM international conference on Web search and data miningAccurate prediction of changing web page content improves a variety of retrieval and web related components. For example, given such a prediction algorithm one can both design a better crawling strategy that only recrawls pages when necessary as well as ...
Comments