Fuzzy sets, uncertainty, and information
Fuzzy sets, uncertainty, and information
Design complexity measurement and testing
Communications of the ACM
Fuzzy set theory—and its applications (3rd ed.)
Fuzzy set theory—and its applications (3rd ed.)
Proceedings of the Conference on The Future of Software Engineering
The Confounding Effect of Class Size on the Validity of Object-Oriented Metrics
IEEE Transactions on Software Engineering
Elements of Software Science (Operating and programming systems series)
Elements of Software Science (Operating and programming systems series)
Quantitative Analysis of Faults and Failures in a Complex Software System
IEEE Transactions on Software Engineering
An Enhanced Neural Network Technique for Software Risk Analysis
IEEE Transactions on Software Engineering
Empirical evaluation of a fuzzy logic-based software quality prediction model
Fuzzy Sets and Systems - Special issue: Optimization and decision support systems
An Application of Fuzzy Clustering to Software Quality Prediction
ASSET '00 Proceedings of the 3rd IEEE Symposium on Application-Specific Systems and Software Engineering Technology (ASSET'00)
An Empirical Study on Object-Oriented Metrics
METRICS '99 Proceedings of the 6th International Symposium on Software Metrics
Application of neural networks for software quality prediction using object-oriented metrics
Journal of Systems and Software
Reliability and Validity in Comparative Studies of Software Prediction Models
IEEE Transactions on Software Engineering
Building Defect Prediction Models in Practice
IEEE Software
Empirical Validation of Object-Oriented Metrics on Open Source Software for Fault Prediction
IEEE Transactions on Software Engineering
A Novel Method for Early Software Quality Prediction Based on Support Vector Machine
ISSRE '05 Proceedings of the 16th IEEE International Symposium on Software Reliability Engineering
Fuzzy integral-based perceptron for two-class pattern classification problems
Information Sciences: an International Journal
Object-oriented software fault prediction using neural networks
Information and Software Technology
Empirical Analysis of Object-Oriented Design Metrics for Predicting High and Low Severity Faults
IEEE Transactions on Software Engineering
Empirical Analysis of Software Fault Content and Fault Proneness Using Bayesian Methods
IEEE Transactions on Software Engineering
Predicting defect-prone software modules using support vector machines
Journal of Systems and Software
Applying fuzzy measures and nonlinear integrals in data mining
Fuzzy Sets and Systems
Empirical validation of object-oriented metrics for predicting fault proneness models
Software Quality Control
Classification of Heterogeneous Fuzzy Data by Choquet Integral With Fuzzy-Valued Integrand
IEEE Transactions on Fuzzy Systems
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Software fault-prone prediction is one of the active areas of software engineering. It plays a very important role in the analysis of software quality and balance of software cost. Practically, the identification of a module's fault-prone is very important for minimizing cost and improving the effectiveness of the software development process. Software fault-prone prediction helps us to develop dependable software. How to obtain the correlation between software metrics and module's fault-prone, hiding in the observed metrics data, has been focused by many researches. In this paper, we propose the use of a fuzzy integral FI for this purpose. FI offers significant advantages over other approaches due to its ability to naturally represent qualitative characteristic of software fault-prone. Proposed approach was applied on Chidamber-Kemerer CK metrics and two datasets of NASA Metrics Data Program from PROMISE repository. Experiments results confirm that proposed approach is very effective for establishing relationship between software metrics and fault-prone. Its implementation doesn't require expert's knowledge. Proposed approach can give useful results for software project managers.