Elements of Software Science (Operating and programming systems series)
Elements of Software Science (Operating and programming systems series)
Laboratory Manual for Compiler and Operating System Inplementation
Laboratory Manual for Compiler and Operating System Inplementation
Types, distribution, and test and correction times for programming errors
Proceedings of the international conference on Reliable software
Predicting parameters of the software validation effort.
Predicting parameters of the software validation effort.
Analyzing software science data with partial repeatability
Journal of Systems and Software
Metrics in software quality assurance
ACM '81 Proceedings of the ACM '81 conference
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An earlier paper presented a model based on software science metrics to give quantitative estimate of the number of bugs in a programming project at the time validation of the project begins. In this paper, we report the results from an attempt to expand the model to estimate the total number of bugs to expect during the total project development. This new hypothesis has been tested using the data currently available in the literature along with data from student projects. The model fits the published data reasonably well, however, the results obtained using the student data are not conclusive.