Measuring software design complexity
Journal of Systems and Software
A mathematical perspective for software measures research
Software Engineering Journal
The Detection of Fault-Prone Programs
IEEE Transactions on Software Engineering
Real-time object-oriented modeling
Real-time object-oriented modeling
A Validation of Object-Oriented Design Metrics as Quality Indicators
IEEE Transactions on Software Engineering
Software metrics for reliability assessment
Handbook of software reliability engineering
Software metrics (2nd ed.): a rigorous and practical approach
Software metrics (2nd ed.): a rigorous and practical approach
Proceedings of the 20th international conference on Software engineering
Art of Software Testing
Software Reliability Engineered Testing
Software Reliability Engineered Testing
The measurement of software design quality
Annals of Software Engineering
A Critical Analysis of Current OO Design Metrics
Software Quality Control
Predicting Source-Code Complexity at the Design Stage
IEEE Software
A Metrics Suite for Object Oriented Design
IEEE Transactions on Software Engineering
AutoFocus: A Tool for Distributed Systems Specification
FTRTFT '96 Proceedings of the 4th International Symposium on Formal Techniques in Real-Time and Fault-Tolerant Systems
Automated Dependability Analysis of UML Designs
ISORC '99 Proceedings of the 2nd IEEE International Symposium on Object-Oriented Real-Time Distributed Computing
One evaluation of model-based testing and its automation
Proceedings of the 27th international conference on Software engineering
IEEE Transactions on Software Engineering
A multi-objective evolutionary algorithm to obtain test cases with variable lengths
Proceedings of the 13th annual conference on Genetic and evolutionary computation
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The validation and verification of software is typically a costly part of the development. A possibility to reduce costs is to concentrate these activities on the fault-prone components of the system. A classification approach is proposed that identifies these components based on detailed UML models. For this mainly existing code metrics are tailored to be applicable to models and are combined to a suite. Two industrial case studies confirm the ability of the approach to identify fault-prone components.