Estimating software fault content before coding
ICSE '92 Proceedings of the 14th international conference on Software engineering
Assessing Software Designs Using Capture-Recapture Methods
IEEE Transactions on Software Engineering - Special issue on software reliability
IEEE Transactions on Software Engineering
Defect content estimations from review data
Proceedings of the 20th international conference on Software engineering
A Comprehensive Evaluation of Capture-Recapture Models for Estimating Software Defect Content
IEEE Transactions on Software Engineering
The application of subjective estimates of effectiveness to controlling software inspections
Journal of Systems and Software - Special issue on software maintenance
Evaluating Capture-Recapture Models with Two Inspectors
IEEE Transactions on Software Engineering
An empirical methodology for introducing software processes
Proceedings of the 8th European software engineering conference held jointly with 9th ACM SIGSOFT international symposium on Foundations of software engineering
Empirical Software Engineering
Software Inspections: An Effective Verification Process
IEEE Software
A Comparison and Integration of Capture-Recapture Models and the Detection Profile Method
ISSRE '98 Proceedings of the The Ninth International Symposium on Software Reliability Engineering
Evaluation of capture-recapture models for estimating the abundance of naturally-occurring defects
Proceedings of the Second ACM-IEEE international symposium on Empirical software engineering and measurement
Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering - Volume 2
More testers - The effect of crowd size and time restriction in software testing
Information and Software Technology
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Inspections can be made more cost-effective by using capture-recapture methods to estimate post-inspection defects. Previous capture-recapture studies of inspections used relatively small data sets compared with those used in biology and wildlife research (the origin of the models). A common belief is that capture-recapture models underestimate the number of defects but their performance can be improved with data from more inspectors. This increase has not been evaluated in detail. This paper evaluates new estimators from biology not been previously applied to inspections. Using a data from seventy-three inspectors, we analyze the effect of the number of inspectors on the quality of estimates. Contrary to previous findings indicating that Jackknife is the best estimator, our results show that the SC estimators are better suited to software inspections. Our results also provide a detailed analysis of the number of inspectors necessary to obtain estimates within 5% to 20% of the actual.