A Critique of Software Defect Prediction Models
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Summary
H holistic models for software defect prediction, using Bayesian belief networks, are recommended as alternative approaches to the single-issue models used at present and research into a theory of "software decomposition" is argued for.
- Type
- article
- Published
- 1999-09-01
- Cited by
- 1,199
- References
- 79
- OpenAlex
- https://openalex.org/W2101728371
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:1084381
Keywords
Computer science, Software metric, Software, Software quality, Quality (philosophy)
References
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- Some misconceptions about lines of code
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- Practical Software Metrics for Project Management and Process Improvement
- How Software Process Improvement Helped Motorola
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- Software Defect Prediction Techniques in Automotive Domain: Evaluation, Selection and Adoption
- Enhance Rule Based Detection for Software Fault Prone Modules
- An empirical investigation of tree ensembles in biometrics and bioinformatics research
- DECOR : Détection et correction des défauts dans les systèmes orientés objet. (DECOR : Detection and Correction of Smells in Object-oriented Systems)
- Managing software evolution in embedded systems
- Improved decision-making for software managers using Bayesian networks
- A software testing and reliability early warning (strew) metric suite
- Design of an Experiment for Quantitative Assessment of Pair Programming Practices
- Growth and Change Dynamics in Open Source Software Systems
- Prediction of Fault-prone Modules Using A Text Filtering Based Metric
- Software Defect Prediction Based on Classification Rule Mining
- APPLYING MACHINE LEARNING ALGORITHMS IN SOFTWARE DEVELOPMENT
- A Project Monitoring Cockpit Based On Integrating Data Sources in Open Source Software Development
- Selecting Bug-prone Components to Study the Effectiveness of Reengineering and Unit Testing:
- Linking Return on Training Investment with Defects Causal Analysis
- A Framework to Build Quality Models for Web Applications
- Predicting Defects in a Large Telecommunication System
- COTS Software Selection: The Need to make Tradeoffs between System Requirements, Architectures and COTS/Components
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