Quotation Koch, Stefan, Mitlöhner, Johann. 2009. Software Project Effort Estimation with Voting Rules. Decision Support Systems 46 (4): 895-901.




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.


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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Journal article
Journal Decision Support Systems (DSS)
Citation Index SCI
WU Journalrating 2009 A
WU-Journal-Rating new FIN-A, INF-A, MAR-A, STRAT-B, WH-B
Language English
Title Software Project Effort Estimation with Voting Rules
Volume 46
Number 4
Year 2009
Page from 895
Page to 901
Reviewed? Y


Koch, Stefan (Former researcher)
Mitlöhner, Johann (Details)
Institute for Data, Process and Knowledge Management (AE Polleres) (Details)
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