Modeling and managing risk early in software development

The authors present an automated modeling technique which can be used as an alternative to regression techniques to improve the quality of the software development process. The modeling process will allow for the reliable detection of potential problem areas and for the interpretation of the cause o...

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Bibliographic Details
Published inProceedings of 1993 15th International Conference on Software Engineering pp. 55 - 65
Main Authors Briand, L.C., Thomas, W.M., Hetmanski, C.J.
Format Conference Proceeding
LanguageEnglish
Published IEEE Comput. Soc. Press 1993
Subjects
Computer science
Educational institutions
Logistics
Predictive models
Programming
Risk management
Software development management
Software engineering
Software quality
System testing
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Summary:The authors present an automated modeling technique which can be used as an alternative to regression techniques to improve the quality of the software development process. The modeling process will allow for the reliable detection of potential problem areas and for the interpretation of the cause of the problem so that the most appropriate remedial action can be taken. It is shown that it can be used to facilitate the identification and aid the interpretation of the significant trends which characterize high risk components in several Ada systems. The effectiveness of the technique is evaluated based on a comparison with logistic regression based models.< >
ISBN:9780818637001
0818637005
ISSN:0270-5257
1558-1225
DOI:10.1109/ICSE.1993.346056