Evaluation of competing software reliability predictions
IEEE Transactions on Software Engineering - Special issue on reliability and safety in real-time process control
By the way, did anyone study any real programmers?
Papers presented at the first workshop on empirical studies of programmers on Empirical studies of programmers
Estimating software fault content before coding
ICSE '92 Proceedings of the 14th international conference on Software engineering
Defect content estimations from review data
Proceedings of the 20th international conference on Software engineering
A formula for the re-inspection decision
ACM SIGSOFT Software Engineering Notes
Experimentation in software engineering: an introduction
Experimentation in software engineering: an introduction
An encompassing life cycle centric survey of software inspection
Journal of Systems and Software
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
ICSE '01 Proceedings of the 23rd International Conference on Software Engineering
Software Inspection
Further Experiences with Scenarios and Checklists
Empirical Software Engineering
Empirical Software Engineering
Empirical Software Engineering
An Extended Replication of an Experiment for AssessingMethods for Software Requirements Inspections
Empirical Software Engineering
Empirical Software Engineering
Hints for Reviewing Empirical Work in Software Engineering
Empirical Software Engineering
Using Inspection Data for Defect Estimation
IEEE Software
Evaluating defect estimation models with major defects
Journal of Systems and Software
Analysis of error processes in computer software
Proceedings of the international conference on Reliable software
METRICS '01 Proceedings of the 7th International Symposium on Software Metrics
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
Understanding Software Defect Detection in the Personal Software Process
ISSRE '98 Proceedings of the The Ninth International Symposium on Software Reliability Engineering
A Computational Framework for Supporting Software Inspections
Proceedings of the 19th IEEE international conference on Automated software engineering
Data sets and data quality in software engineering
Proceedings of the 4th international workshop on Predictor models in software engineering
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After a software inspection the project manager has to decide whether he can pass a product on to the next software development stage or whether it still contains a substantial number of defects and should be reinspected to further improve its quality. While a substantial number of defects remaining in a product after inspection is a reasonable precondition to schedule a reinspection, it is also important to estimate whether the likely number of defects to be found with a reinspection will lower the defect density under the target threshold. In this work we propose a reliability growth model and two heuristic linear models for software inspection, which estimate the likely number of additional defects to be found during reinspection. We evaluate the accuracy of these models with time-stamped defect data from a large-scale controlled inspection experiment on reinspection. Main findings are: (a) The two best models estimated the defect detection capability for reinspection with good accuracy: over 80% of the estimates had an absolute relative error of under 10%; (b) The reinspection decision correctness based on the estimates of all investigated models, overall around 80% correct decisions, was much better than the trivial models to always or never reinspect; the latter is the default decision in practice.