An empirical validation of software cost estimation models
Communications of the ACM
Estimating Software Project Effort Using Analogies
IEEE Transactions on Software Engineering
Wrappers for feature subset selection
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IEEE Transactions on Software Engineering
Data mining: practical machine learning tools and techniques with Java implementations
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Software Cost Estimation with Cocomo II with Cdrom
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ICTAI '96 Proceedings of the 8th International Conference on Tools with Artificial Intelligence
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IEEE Transactions on Knowledge and Data Engineering
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Proceedings of the 27th international conference on Software engineering
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PROMISE '05 Proceedings of the 2005 workshop on Predictor models in software engineering
Feature subset selection can improve software cost estimation accuracy
PROMISE '05 Proceedings of the 2005 workshop on Predictor models in software engineering
A comparative study of attribute weighting heuristics for effort estimation by analogy
Proceedings of the 2006 ACM/IEEE international symposium on Empirical software engineering
Selecting Best Practices for Effort Estimation
IEEE Transactions on Software Engineering
Misleading Metrics and Unsound Analyses
IEEE Software
Decision Support Analysis for Software Effort Estimation by Analogy
PROMISE '07 Proceedings of the Third International Workshop on Predictor Models in Software Engineering
Column Pruning Beats Stratification in Effort Estimation
PROMISE '07 Proceedings of the Third International Workshop on Predictor Models in Software Engineering
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Proceedings of the Second ACM-IEEE international symposium on Empirical software engineering and measurement
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Feature weighting heuristics for analogy-based effort estimation models
Expert Systems with Applications: An International Journal
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IWSM '09 /Mensura '09 Proceedings of the International Conferences on Software Process and Product Measurement
ICACT'10 Proceedings of the 12th international conference on Advanced communication technology
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Automated Software Engineering
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WOSQ'09 Proceedings of the Seventh ICSE conference on Software quality
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Information Sciences: an International Journal
Data science for software engineering
Proceedings of the 2013 International Conference on Software Engineering
Diversity in software engineering research
Proceedings of the 2013 9th Joint Meeting on Foundations of Software Engineering
IMPROVING THE PREDICTION ACCURACY OF SOFTWARE DEVELOPMENT COST MODELS
Journal of Integrated Design & Process Science
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Strange to say, when building a software cost model, sometimes it's useful to ignore much of the available cost data. One way to do this is to perform data-pruning experiments after data collection and before model building. Experiments involving a set of Unix scripts that employ a variable-subtraction algorithm from the WEKA (Waikato Environment for Knowledge Analysis) data-mining toolkit illustrate this approach's effectiveness.This article is part of a special issue on predictor modeling.