A taxonomy of metrics for software fault prediction
Author:
Affiliation:
1. University of Basilicata, Italy
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3338906.3341462
Reference13 articles.
1. On the application of genetic programming for software engineering predictive modeling: A systematic review
2. Using a class abstraction technique to predict faults in OO classes
3. Selecting Empirical Methods for Software Engineering Research
4. Developing Fault-Prediction Models: What the Research Can Show Industry
5. A Systematic Literature Review on Fault Prediction Performance in Software Engineering
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1. Evaluating the effectiveness of decomposed Halstead Metrics in software fault prediction;PeerJ Computer Science;2023-11-27
2. Metrics As Scores: A Tool- and Analysis Suite and Interactive Application for Exploring Context-Dependent Distributions;Journal of Open Source Software;2023-08-25
3. Contextual Operationalization of Metrics as Scores: Is My Metric Value Good?;2022 IEEE 22nd International Conference on Software Quality, Reliability and Security (QRS);2022-12
4. Combining SBFL with Mutation Testing: Challenges of a Practical Approach;Proceedings of the 17th International Conference on Evaluation of Novel Approaches to Software Engineering;2022
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