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LSA-X: Exploiting Productivity Factors in Linear Size Adaptation for Analogy-Based Software Effort Estimation

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dc.contributor.author Phannachitta, Passakorn
dc.contributor.author Monden, Akito
dc.contributor.author Keung, Jacky
dc.contributor.author Matsumoto, Kenichi
dc.date.accessioned 2018-03-29T06:16:44Z
dc.date.available 2018-03-29T06:16:44Z
dc.date.issued 2016-01-01
dc.identifier.issn 1745-1361
dc.identifier.uri http://hdl.handle.net/10061/12237
dc.description.abstract Analogy-based software effort estimation has gained a considerable amount of attention in current research and practice. Its excellent estimation accuracy relies on its solution adaptation stage, where an effort estimate is produced from similar past projects. This study proposes a solution adaptation technique named LSA-X that introduces an approach to exploit the potential of productivity factors, i.e., project variables with a high correlation with software productivity, in the solution adaptation stage. The LSA-X technique tailors the exploitation of the productivity factors with a procedure based on the Linear Size Adaptation (LSA) technique. The results, based on 19 datasets show that in circumstances where a dataset exhibits a high correlation coefficient between productivity and a related factor (r?0.30), the proposed LSA-X technique statistically outperformed (95% confidence) the other 8 commonly used techniques compared in this study. In other circumstances, our results suggest using any linear adaptation technique based on software size to compensate for the limitations of the LSA-X technique.
dc.language.iso en
dc.publisher 電子情報通信学会
dc.rights Copyright c 2016 IEICE
dc.rights http://search.ieice.org/index.html
dc.subject software development effort estimation
dc.subject analogy
dc.subject adaptation
dc.subject productivity factor
dc.subject empirical experiments
dc.title LSA-X: Exploiting Productivity Factors in Linear Size Adaptation for Analogy-Based Software Effort Estimation
dc.type.nii Journal Article
dc.contributor.transcription マツモト, ケンイチ
dc.contributor.alternative 松本, 健一
dc.identifier.fulltexturl https://doi.org/10.1587/transinf.2015EDP7237
dc.textversion publisher
dc.identifier.jtitle IEICE Transactions on Information and Systems
dc.identifier.volume E99.D
dc.identifier.issue 1
dc.identifier.spage 151
dc.identifier.epage 162
dc.relation.doi info:doi/10.1587/transinf.2015EDP7237
dc.identifier.url http://search.ieice.org/bin/summary.php?id=e99-d_1_151&category=D&year=2016&lang=E&abst=
dc.identifier.NAIST-ID 73292310


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