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Deriving thresholds of software metrics to predict faults on open source software: Replicated case studies
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Empirical evaluation of the effects of mixed project data on learning defect predictors
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Software fault prediction metrics: A systematic literature review
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Investigating the effect of dataset size, metrics sets, and feature selection techniques on software fault prediction problem
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Identifying thresholds for object-oriented software metrics
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Analogy-Based Practical Classification Rules for Software Quality Estimation
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2014 Software Evolution Week - IEEE Conference on Software Maintenance, Reengineering, and Reverse Engineering (CSMR-WCRE)
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Deriving metric thresholds from benchmark data
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Multi-objective Cross-Project Defect Prediction
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Proceedings 10th International Symposium on Software Reliability Engineering (Cat. No.PR00443)
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Robust Prediction of Fault-Proneness by Random Forests
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Using Class Imbalance Learning for Software Defect Prediction
inferredcites →https://doi.org/10.1109/tse.2002.1019484openalex-snapshot
Assessing the applicability of fault-proneness models across object-oriented software projects
inferredcites →https://doi.org/10.1109/tse.2004.1265733openalex-snapshot
Using machine learning for estimating the defect content after an inspection
inferredcites →https://doi.org/10.1109/tse.2005.112openalex-snapshot
Empirical validation of object-oriented metrics on open source software for fault prediction
inferredcites →https://doi.org/10.1109/tse.2006.102openalex-snapshot
Empirical Analysis of Object-Oriented Design Metrics for Predicting High and Low Severity Faults
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Empirical Validation of Three Software Metrics Suites to Predict Fault-Proneness of Object-Oriented Classes Developed Using Highly Iterative or Agile Software Development Processes
inferredcites →https://doi.org/10.1109/tse.2007.256941openalex-snapshot
Data Mining Static Code Attributes to Learn Defect Predictors
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Evolutionary Optimization of Software Quality Modeling with Multiple Repositories
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A Quantitative Investigation of the Acceptable Risk Levels of Object-Oriented Metrics in Open-Source Systems
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A Systematic Literature Review on Fault Prediction Performance in Software Engineering
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Toward Comprehensible Software Fault Prediction Models Using Bayesian Network Classifiers
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Fault prediction considering threshold effects of object‐oriented metrics
inferredcites →https://doi.org/10.1145/1082983.1083172openalex-snapshot
An investigation of the effect of module size on defect prediction using static measures
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Mining metrics to predict component failures
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Implications of ceiling effects in defect predictors
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Cross-project defect prediction
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Towards identifying software project clusters with regard to defect prediction
inferredcites →https://doi.org/10.1145/2499393.2499395openalex-snapshot
Training data selection for cross-project defect prediction
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An Empirical Study of the Effect of Power Law Distribution on the Interpretation of OO Metrics
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The Box Plot: A Simple Visual Method to Interpret Data
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