Researcher Bias: The Use of Machine Learning in Software Defect Prediction.
- Published in:
- IEEE Transactions on Software Engineering, 2014, v. 40, n. 6, p. 603, doi. 10.1109/TSE.2014.2322358
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- Publication type:
- Article
Works matching IS 00985589 AND DT 2014 AND VI 40 AND IP 6
Results: 5
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GEA: A Goal-Driven Approach toDiscovering Early Aspects.
- Published in:
- IEEE Transactions on Software Engineering, 2014, v. 40, n. 6, p. 584, doi. 10.1109/TSE.2014.2322368
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- Publication type:
- Article
3
Static Analysis for Extracting Permission Checks of a Large Scale Framework: The Challenges and Solutions for Analyzing Android.
- Published in:
- IEEE Transactions on Software Engineering, 2014, v. 40, n. 6, p. 617, doi. 10.1109/TSE.2014.2322867
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- Publication type:
- Article
4
Bayesian Networks For Evidence-Based Decision-Making in Software Engineering.
- Published in:
- IEEE Transactions on Software Engineering, 2014, v. 40, n. 6, p. 533, doi. 10.1109/TSE.2014.2321179
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- Publication type:
- Article
5
Dealing with Traceability in the MDDof Model Transformations.
- Published in:
- IEEE Transactions on Software Engineering, 2014, v. 40, n. 6, p. 555, doi. 10.1109/TSE.2014.2316132
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- Publication type:
- Article