Advances in software inspections
IEEE Transactions on Software Engineering
Experience with Fagan's inspection method
Software—Practice & Experience
Estimating software fault content before coding
ICSE '92 Proceedings of the 14th international conference on Software engineering
IEEE Transactions on Software Engineering
Further Experiences with Scenarios and Checklists
Empirical Software Engineering
Quantitative Evaluation of Capture-Recapture Models to Control Software Inspections
ISSRE '97 Proceedings of the Eighth International Symposium on Software Reliability Engineering
Estimating the Number of Undetected Errors: Bayesian Model Selection
ISSRE '98 Proceedings of the The Ninth International Symposium on Software Reliability Engineering
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This paper investigates the proposition: are the results (defects found) of individual software inspectors during a software inspection process (preparation phase) statistically independent or dependent? The rationale for exploring this proposition is that many capture-recapture models assume statistical independence in their formulations. Recently these models have been applied to estimating the number of undiscovered defects undetected by an inspection process. Using large amounts of inspection data from a previous experiment, and subsequently simulating a capture-recapture time-series from this data, the paper explores this proposition. The correlation within the time-series is then estimated using non-parametric techniques. The paper concludes that, for the data used, no evidence exists to support the statement that the results from individual inspectors are dependent.