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
A decision engine based on rational aggregation of heuristic knowledge
Decision Support Systems
Machine Learning Approaches to Estimating Software Development Effort
IEEE Transactions on Software Engineering
Effort estimation using analogy
Proceedings of the 18th international conference on Software engineering
Estimating Software Project Effort Using Analogies
IEEE Transactions on Software Engineering
COBRA: a hybrid method for software cost estimation, benchmarking, and risk assessment
Proceedings of the 20th international conference on Software engineering
A Controlled Experiment to Assess the Benefits of Estimating with Analogy and Regression Models
IEEE Transactions on Software Engineering
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Software Engineering Economics
Software Engineering Economics
Software Cost Estimation with Cocomo II with Cdrom
Software Cost Estimation with Cocomo II with Cdrom
Software development cost estimation approaches – A survey
Annals of Software Engineering
Improving Subjective Estimates Using Paired Comparisons
IEEE Software
Software Development Cost Estimation Using Function Points
IEEE Transactions on Software Engineering
Cost estimation for web applications
Proceedings of the 25th International Conference on Software Engineering
Using Web Objects for Estimating Software Development Effort for Web Applications
METRICS '03 Proceedings of the 9th International Symposium on Software Metrics
Software Productivity Measurement Using Multiple Size Measures
IEEE Transactions on Software Engineering
Building knowledge discovery-driven models for decision support in project management
Decision Support Systems
Class Point: An Approach for the Size Estimation of Object-Oriented Systems
IEEE Transactions on Software Engineering
A Systematic Review of Software Development Cost Estimation Studies
IEEE Transactions on Software Engineering
A General Empirical Solution to the Macro Software Sizing and Estimating Problem
IEEE Transactions on Software Engineering
IEEE Transactions on Software Engineering
Why comparative effort prediction studies may be invalid
PROMISE '09 Proceedings of the 5th International Conference on Predictor Models in Software Engineering
Using Tabu Search to Estimate Software Development Effort
IWSM '09 /Mensura '09 Proceedings of the International Conferences on Software Process and Product Measurement
A shift-invariant morphological system for software development cost estimation
Expert Systems with Applications: An International Journal
Modeling the benefit of e-recruiting process integration
Decision Support Systems
Computers and Industrial Engineering
Search-based approaches for software development effort estimation
Proceedings of the 12th International Conference on Product Focused Software Development and Process Improvement
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Social choice deals with aggregating the preferences of a number of voters into a collective preference. We will use this idea for software project effort estimation, substituting the voters by project attributes. Therefore, instead of supplying numeric values for various project attributes that are then used in regression or similar methods, a new project only needs to be placed into one ranking per attribute, necessitating only ordinal values. Using the resulting aggregate ranking the new project is again placed between other projects whose actual expended effort can be used to derive an estimation. In this paper we will present this method and extensions using weightings derived from genetic algorithms. We detail a validation based on several well-known data sets and show that estimation accuracy similar to classic methods can be achieved with considerably lower demands on input data.