Software errors and complexity: an empirical investigation0
Communications of the ACM
Predicting Fault-Prone Software Modules in Telephone Switches
IEEE Transactions on Software Engineering
Quantitative Analysis of Faults and Failures in a Complex Software System
IEEE Transactions on Software Engineering
An empirical evaluation of system and regression testing
CASCON '02 Proceedings of the 2002 conference of the Centre for Advanced Studies on Collaborative research
ISSRE '04 Proceedings of the 15th International Symposium on Software Reliability Engineering
Optimizing preventive service of software products
IBM Journal of Research and Development
Software defect prediction based on source code metrics time series
Transactions on rough sets XIII
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Systematic validation and verification of safety-critical software is of crucial importance. A key precaution is intensive testing at several levels, from the entire system down to individual functional elements, the latter often carried out as unit testing. This paper presents results from a unit test performed on a C++ package from a testbed of a safety critical application at the ARC Seibersdorf research lab. After outlining the test environment and relevant characteristics of the tested software package, a detailed analysis of the test results is given. This analysis comprises fault categorization, fault distribution, relations between software metrics (like McCabe's cyclomatic complexity or the risk categories of NASA SATC), software faults, and testing efforts, and yields clues about the significance of these measures for fault probabilities. A summary of the findings and related work conclude the paper.