Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations
C4.5: programs for machine learning
C4.5: programs for machine learning
Object-oriented metrics that predict maintainability
Journal of Systems and Software - Special issue on object-oriented software
Cohesion and reuse in an object-oriented system
SSR '95 Proceedings of the 1995 Symposium on Software reusability
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
Replicated Case Studies for Investigating Quality Factorsin Object-Oriented Designs
Empirical Software Engineering
A Metrics Suite for Object Oriented Design
IEEE Transactions on Software Engineering
Experience With the Accuracy of Software Maintenance Task Effort Prediction Models
IEEE Transactions on Software Engineering
Learning Logical Definitions from Relations
Machine Learning
Machine Learning
Machine Learning
Reusability Hypothesis Verification using Machine Learning Techniques: A Case Study
ASE '98 Proceedings of the 13th IEEE international conference on Automated software engineering
A system for induction of oblique decision trees
Journal of Artificial Intelligence Research
An analysis of Bayesian classifiers
AAAI'92 Proceedings of the tenth national conference on Artificial intelligence
Exploring an Open Source Data Mining Environment for Software Product Quality Decision Making
Proceedings of the 2006 conference on Knowledge-Based Software Engineering: Proceedings of the Seventh Joint Conference on Knowledge-Based Software Engineering
A symbolic fault-prediction model based on multiobjective particle swarm optimization
Journal of Systems and Software
Diagnosing new faults using mutants and prior faults (NIER track)
Proceedings of the 33rd International Conference on Software Engineering
Ant colony based approach to predict stock market movement from mood collected on Twitter
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
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Integration of metrics computation in most popular Computer-Aided Software Engineering (CASE) tools is a marked tendency. Software metrics provide quantitative means to control the software development and the quality of software products. The ISO/IEC international standard (14598) on software product quality states, "Internal metrics are of little value unless there is evidence that they are related to external quality". Many different approaches have been proposed to build such empirical assessment models. In this work, different Machine Learning (ML) algorithms are explored with regard to their capacities of producing assessment/predictive models, for three quality characteristics. The predictability of each model is then evaluated and their applicability in a decision-making system is discussed.