Software errors and complexity: an empirical investigation0
Communications of the ACM
Metrics for Ada packages: an initial study
Communications of the ACM
A Controlled Expeniment on the Impact of Software Structure on Maintainability
IEEE Transactions on Software Engineering
Measuring software design complexity
Journal of Systems and Software
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
The Detection of Fault-Prone Programs
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
Projecting Software Defects from Analyzing Ada Designs
IEEE Transactions on Software Engineering - Special issue on software measurement principles, techniques, and environments
Modeling and managing risk early in software development
ICSE '93 Proceedings of the 15th international conference on Software Engineering
Statistical Models in S
Machine Learning
Experiments with computer software complexity and reliability
ICSE '82 Proceedings of the 6th international conference on Software engineering
A Validation of Object-Oriented Design Metrics as Quality Indicators
IEEE Transactions on Software Engineering
Characterizing and modeling the cost of rework in a library of reusable software components
ICSE '97 Proceedings of the 19th international conference on Software engineering
An investigation into coupling measures for C++
ICSE '97 Proceedings of the 19th international conference on Software engineering
Defining and Validating Measures for Object-Based High-Level Design
IEEE Transactions on Software Engineering
Characterization of risky projects based on project managers' evaluation
Proceedings of the 22nd international conference on Software engineering
Validation of an Approach for Improving Existing Measurement Frameworks
IEEE Transactions on Software Engineering
The Confounding Effect of Class Size on the Validity of Object-Oriented Metrics
IEEE Transactions on Software Engineering
Object-oriented metrics: A review of theory and practice
Advances in software engineering
Accuracy of software quality models over multiple releases
Annals of Software Engineering
Classification of Fault-Prone Software Modules: Prior Probabilities,Costs, and Model Evaluation
Empirical Software Engineering
A Comparative Study of Ordering and Classification of Fault-ProneSoftware Modules
Empirical Software Engineering
Uncertain Classification of Fault-Prone Software Modules
Empirical Software Engineering
Balancing Misclassification Rates in Classification-TreeModels of Software Quality
Empirical Software Engineering
Experience With the Accuracy of Software Maintenance Task Effort Prediction Models
IEEE Transactions on Software Engineering
Integrating Time Domain and Input Domain Analyses of Software Reliability Using Tree-Based Models
IEEE Transactions on Software Engineering
An Operational Process for Goal-Driven Definition of Measures
IEEE Transactions on Software Engineering
Using FAME Assessments to Define Measurement Goals
IWSM '00 Proceedings of the 10th International Workshop on New Approaches in Software Measurement
A Classification Scheme for Studies on Fault-Prone Components
PROFES '01 Proceedings of the Third International Conference on Product Focused Software Process Improvement
On the use of machine-assisted knowledge discovery to analyze and reengineer measurement frameworks
CASCON '95 Proceedings of the 1995 conference of the Centre for Advanced Studies on Collaborative research
Fault Prediction Modeling for Software Quality Estimation: Comparing Commonly Used Techniques
Empirical Software Engineering
Rough Set Based Data Analysis in Goal Oriented Software Measurement
METRICS '96 Proceedings of the 3rd International Symposium on Software Metrics: From Measurement to Empirical Results
Assessing Massive Maintenance Processes: An Empirical Study
ICSM '01 Proceedings of the IEEE International Conference on Software Maintenance (ICSM'01)
Predicting Fault-Prone Modules with Case-Based Reasoning
ISSRE '97 Proceedings of the Eighth International Symposium on Software Reliability Engineering
Improving Tree-Based Models of Software Quality with Principal Components Analysis
ISSRE '00 Proceedings of the 11th International Symposium on Software Reliability Engineering
Analogy-Based Practical Classification Rules for Software Quality Estimation
Empirical Software Engineering
An empirical comparison and characterization of high defect and high complexity modules
Journal of Systems and Software
A Simulation Study of the Model Evaluation Criterion MMRE
IEEE Transactions on Software Engineering
Comparative Assessment of Software Quality Classification Techniques: An Empirical Case Study
Empirical Software Engineering
An approach to improving existing measurement frameworks
IBM Systems Journal
Assessment of a New Three-Group Software Quality Classification Technique: An Empirical Case Study
Empirical Software Engineering
Resource-oriented software quality classification models
Journal of Systems and Software
Reliability and Validity in Comparative Studies of Software Prediction Models
IEEE Transactions on Software Engineering
IEEE Transactions on Software Engineering
Empirical Software Engineering
Identifying and characterizing change-prone classes in two large-scale open-source products
Journal of Systems and Software
Applying machine learning to software fault-proneness prediction
Journal of Systems and Software
Software defect prediction using artificial immune recognition system
SE'07 Proceedings of the 25th conference on IASTED International Multi-Conference: Software Engineering
Predicting defect-prone software modules using support vector machines
Journal of Systems and Software
Towards a generic model for software quality prediction
Proceedings of the 6th international workshop on Software quality
Theory of relative defect proneness
Empirical Software Engineering
A novel composite model approach to improve software quality prediction
Information and Software Technology
Review: Software fault prediction: A literature review and current trends
Expert Systems with Applications: An International Journal
Positive vectors clustering using inverted Dirichlet finite mixture models
Expert Systems with Applications: An International Journal
Transfer learning for cross-company software defect prediction
Information and Software Technology
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Applying equal testing and verification effort to all parts of a software system is not very efficient, especially when resources are tight. Therefore, one needs to low/high fault frequency components so that testing/verification effort can be concentrated where needed. Such a strategy is expected to detect more faults and thus improve the resulting reliability of the overall system. The authors present the optimized set reduction approach for constructing such models, which is intended to fulfill specific software engineering needs. The approach to classification is to measure the software system and build multivariate stochastic models for predicting high-risk system components. Experimental results obtained by classifying Ada components into two classes (is, or is not likely to generate faults during system and acceptance rest) are presented. The accuracy of the model and the insights it provides into the error-making process are evaluated.