Towards a constructive quality model: part 1: software quality modelling, measurement and prediction
Software Engineering Journal
Learning from Examples: Generation and Evaluation of Decision Trees for Software Resource Analysis
IEEE Transactions on Software Engineering - Special Issue on Artificial Intelligence in Software Applications
Measuring software design quality
Measuring software design quality
Regression modelling of software quality: empirical investigation
Journal of Electronic Materials
Analyzing Error-Prone System Structure
IEEE Transactions on Software Engineering
A Pattern Recognition Approach for Software Engineering Data Analysis
IEEE Transactions on Software Engineering - Special issue on software measurement principles, techniques, and environments
Rule-based fuzzy classification for software quality control
Fuzzy Sets and Systems - Special issue on industrial applications
Fuzzy Sets and Systems - Special issue on fuzzy neural control
Selected papers of the sixth annual Oregon workshop on Software metrics
Software Metrics: A Rigorous Approach
Software Metrics: A Rigorous Approach
Correspondence Visualization Techniques for Analyzing and Evaluating Software Measures
IEEE Transactions on Software Engineering - Special issue on software measurement principles, techniques, and environments
When to Stop Testing for Large Software Systems with Changing Code
IEEE Transactions on Software Engineering
An analysis of the fault correction process in a large-scale SDL production model
Proceedings of the 25th International Conference on Software Engineering
Software Metrics Model For Integrating Quality Control And Prediction
ISSRE '97 Proceedings of the Eighth International Symposium on Software Reliability Engineering
An Example Of Risk Assessment Of Software Systems Specifications
ISSRE '97 Proceedings of the Eighth International Symposium on Software Reliability Engineering
The application of product measures in directing software maintenance activity
Journal of Software Maintenance and Evolution: Research and Practice
Towards a model to support in silico studies of software evolution
Proceedings of the ACM-IEEE international symposium on Empirical software engineering and measurement
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Cost-effective software project management has the serious need to focus resources on those areas with highest criticality. Identifying such components in advance that need high development effort or that are likely to produce many failures during operation and assigning additional design or corrective effort is one approach for effective resource allocation. Complexity metrics are applied during the development of large telecommunication software in order to identify high risk components and to tailor reliability growth models. Five classification techniques (Pareto classification, classification trees, factor-based discriminant analysis, fuzzy classification, neural networks) are compared for identifying critical components. For testing and maintenance phases we combined this approach with tailored reliability growth models. Results from a current large-scale switching project are included to show practical benefits.