Does imperfect debugging affect software reliability growth?
ICSE '89 Proceedings of the 11th international conference on Software engineering
Handbook of software reliability engineering
Handbook of software reliability engineering
The Effect of Imperfect Error Detection on Reliability Assessment via Life Testing
IEEE Transactions on Software Engineering
Debugging: from novice to expert
Proceedings of the 35th SIGCSE technical symposium on Computer science education
Extending omniscient debugging to support aspect-oriented programming
Proceedings of the 2008 ACM symposium on Applied computing
Reliability analysis and optimal version-updating for open source software
Information and Software Technology
Combining mutation and fault localization for automated program debugging
Journal of Systems and Software
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It is widely recognized that the debugging processes are usually imperfect. Software faults are not completely removed because of the difficulty in locating them or because new faults might be introduced. Hence, it is of great importance to investigate the effect of the imperfect debugging on software development cost, which, in turn, might affect the optimal software release time or operational budget. In this paper, a commonly used cost model is extended to the case of imperfect debugging. Based on this, the effect of imperfect debugging is studied. As the probability of perfect debugging, termed testing level here, is expensive to be increased, but manageable to a certain extent with additional resources, a model incorporating this situation is presented. Moreover, the problem of determining the optimal testing level is considered. This is useful when the decisions regarding the test team composition, testing strategy, etc., are to be made for more effective testing.