Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
Modern Information Retrieval
Data Mining Static Code Attributes to Learn Defect Predictors
IEEE Transactions on Software Engineering
IEEE Transactions on Software Engineering
The influence of organizational structure on software quality: an empirical case study
Proceedings of the 30th international conference on Software engineering
An initial study of the growth of eclipse defects
Proceedings of the 2008 international working conference on Mining software repositories
Techniques for evaluating fault prediction models
Empirical Software Engineering
Analysis of Naive Bayes' assumptions on software fault data: An empirical study
Data & Knowledge Engineering
Revisiting the evaluation of defect prediction models
PROMISE '09 Proceedings of the 5th International Conference on Predictor Models in Software Engineering
Finding robust solutions in requirements models
Automated Software Engineering
Predicting vulnerable software components with dependency graphs
Proceedings of the 6th International Workshop on Security Measurements and Metrics
Which is the right source for vulnerability studies?: an empirical analysis on Mozilla Firefox
Proceedings of the 6th International Workshop on Security Measurements and Metrics
Replication of defect prediction studies: problems, pitfalls and recommendations
Proceedings of the 6th International Conference on Predictive Models in Software Engineering
On the value of learning from defect dense components for software defect prediction
Proceedings of the 6th International Conference on Predictive Models in Software Engineering
Review: Software fault prediction: A literature review and current trends
Expert Systems with Applications: An International Journal
Comparing fine-grained source code changes and code churn for bug prediction
Proceedings of the 8th Working Conference on Mining Software Repositories
Dealing with noise in defect prediction
Proceedings of the 33rd International Conference on Software Engineering
Software defect detection with rocus
Journal of Computer Science and Technology
Advances in Engineering Software
An industrial case study of classifier ensembles for locating software defects
Software Quality Control
Sample-based software defect prediction with active and semi-supervised learning
Automated Software Engineering
An investigation on the feasibility of cross-project defect prediction
Automated Software Engineering
Searching for rules to detect defective modules: A subgroup discovery approach
Information Sciences: an International Journal
Learning patterns of university student retention
Expert Systems with Applications: An International Journal
Proceedings of the 8th International Conference on Predictive Models in Software Engineering
A cost-effectiveness criterion for applying software defect prediction models
Proceedings of the 2013 9th Joint Meeting on Foundations of Software Engineering
A study of subgroup discovery approaches for defect prediction
Information and Software Technology
DConfusion: a technique to allow cross study performance evaluation of fault prediction studies
Automated Software Engineering
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In this correspondence, we point out a discrepancy in a recent paper "Data Mining Static Code Attributes to Learn Defect Predictors" that was published in this journal. Because of the small percentage of defective modules, using pd and pf as accuracy measures may lead to impractical prediction models.