Software reliability measurement: prediction, estimation, and assessment
Journal of Systems and Software - Special issue on the fifth Minnowbrook workshop on software performance evaluation
Projecting Software Defects from Analyzing Ada Designs
IEEE Transactions on Software Engineering - Special issue on software measurement principles, techniques, and environments
Diversity in information systems action research methods
European Journal of Information Systems
A criticsm on the capture-and-recapture method for software reliability assurance
Journal of Systems and Software
A Critique of Software Defect Prediction Models
IEEE Transactions on Software Engineering
Software Metrics: A Rigorous and Practical Approach
Software Metrics: A Rigorous and Practical Approach
Module Size Distribution and Defect Density
ISSRE '00 Proceedings of the 11th International Symposium on Software Reliability Engineering
An Experimental Comparison of Usage-Based and Checklist-Based Reading
IEEE Transactions on Software Engineering
An Empirical Study of Software Reuse vs. Defect-Density and Stability
Proceedings of the 26th International Conference on Software Engineering
Use of relative code churn measures to predict system defect density
Proceedings of the 27th international conference on Software engineering
Static analysis tools as early indicators of pre-release defect density
Proceedings of the 27th international conference on Software engineering
Software Measurement and Estimation: A Practical Approach (Quantitative Software Engineering Series)
Software Measurement and Estimation: A Practical Approach (Quantitative Software Engineering Series)
Software development productivity on a new platform: an industrial case study
Information and Software Technology
Predicting short-term defect inflow in large software projects: an initial evaluation
EASE'07 Proceedings of the 11th international conference on Evaluation and Assessment in Software Engineering
A framework for developing measurement systems and its industrial evaluation
Information and Software Technology
Information and Software Technology
PROFES'11 Proceedings of the 12th international conference on Product-focused software process improvement
Prediction of faults-slip-through in large software projects: an empirical evaluation
Software Quality Control
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Defects discovered during the testing phase in software projects need to be removed before the software is shipped to the customers. The removal of defects can constitute a significant amount of effort in a project and project managers are faced with a decision whether to continue development or shift some resources to cope with defect removal. The goal of this research is to improve the practice of project management by providing a method for predicting the number of defects reported into the defect database in the project. In this paper we present a method for predicting the number of defects reported into the defect database in a large software project on a weekly basis. The method is based on using project progress data, in particular the information about the test progress, to predict defect inflow in the next three coming weeks. The results show that the prediction accuracy of our models is up to 72% (mean magnitude of relative error for predictions of 1 week in advance is 28%) when used in ongoing large software projects. The method is intended to support project managers in more accurate adjusting resources in the project, since they are notified in advance about the potentially large effort needed to correct defects.