Software sizing and estimating: Mk II FPA (Function Point Analysis)
Software sizing and estimating: Mk II FPA (Function Point Analysis)
IEEE Transactions on Software Engineering
Discovering data mining: from concept to implementation
Discovering data mining: from concept to implementation
Unexpectedness as a measure of interestingness in knowledge discovery
Decision Support Systems - Special issue on WITS '97
A Validation of the Component-Based Method for Software Size Estimation
IEEE Transactions on Software Engineering - special section on current trends in exception handling—part II
A technique for function block counting
Journal of Systems and Software
Knowledge refinement based on the discovery of unexpected patterns in data mining
Decision Support Systems - Special issue: Formal modeling and electronic commerce
Techniques of Cluster Algorithms in Data Mining
Data Mining and Knowledge Discovery
Discretization: An Enabling Technique
Data Mining and Knowledge Discovery
Expert Systems with Applications: An International Journal
Efficient clustering of databases induced by local patterns
Decision Support Systems
A method for mining quantitative association rules
SMO'06 Proceedings of the 6th WSEAS International Conference on Simulation, Modelling and Optimization
Measuring interestingness of discovered skewed patterns in data cubes
Decision Support Systems
Decision analysis of data mining project based on Bayesian risk
Expert Systems with Applications: An International Journal
Recommender system for software project planning one application of revised CBR algorithm
Expert Systems with Applications: An International Journal
Software project effort estimation with voting rules
Decision Support Systems
Discovery of unapparent association rules based on extracted probability
Decision Support Systems
A model-based DSS for integrating the impact of learning in project control
Decision Support Systems
Designing of dynamic labor inspection system for construction industry
Expert Systems with Applications: An International Journal
Multivariate discretization for associative classification in a sparse data application domain
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part I
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Accurate estimations of software size in the early stages of a software project are critical in software project management because they lead to a good planning and reduce project costs. In this work, the relation between early software size measures as the function points and measures of the final product as the lines of code has been studied. A process to refine association rules, based on the generation of unexpected patterns, is proposed. The goal is to generate strong association rules between attributes that can be obtained early in the project and the final software size.