Elements of Software Science (Operating and programming systems series)
Elements of Software Science (Operating and programming systems series)
Toward A Quantifiable Definition of Software Faults
ISSRE '02 Proceedings of the 13th International Symposium on Software Reliability Engineering
Analysis of fault models for student use
ACM SIGCSE Bulletin
A systematic literature review to identify and classify software requirement errors
Information and Software Technology
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Much research has been carried out to study the correlations between software faults and other variables including complexity, time, size, etc. Little work, however, has studied the cause of faults in software and how recognizing the type of fault can improve the quality of software code. In this paper I review a programming technique that requires programmers to both categorize and understand the reason for any faults at each iterative build. Using this technique, experiments were carried out that measured software quality along three variables: total number of faults, total time taken to write the code, and total number of builds. The data collected suggests that all three measured variables improve when programmers take the time to categorize and understand the reason for a fault at build time. The output is particularly interesting because while fault analysis in itself is a time consuming process, the act of fault analysis by the programmer allowed him/her to complete the work in less total time.