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Influence of outliers on analogy based software development effort estimation

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dc.contributor.author Ono, Kenichi en
dc.contributor.author Tsunoda, Masateru en
dc.contributor.author Monden, Akito en
dc.contributor.author Matsumoto, Kenichi en
dc.date.accessioned 2018-10-30T04:57:13Z en
dc.date.available 2018-10-30T04:57:13Z en
dc.date.issued 2016 en
dc.identifier.isbn 9781509008070 en
dc.identifier.uri http://hdl.handle.net/10061/12730 en
dc.description ICIS 2016 : 2016 IEEE/ACIS 15th International Conference on Computer and Information Science, 26-29 June 2016, Okayama, Japan en
dc.description.abstract In a software development project, project management is indispensable, and effort estimation is one of the important factors on the management. To improve estimation accuracy, outliers are often removed from dataset used for estimation. However, the influence of the outliers to the estimation accuracy is not clear. In this study, we added outliers to dataset experimentally, to analyze the influence. In the analysis, we changed the percentage of outliers, the extent of outliers, variable including outliers, and location of outliers on the dataset. After that, effort was estimated using the dataset. In the experiment, the influence of outliers was not very large, when they were included in the software size metric, the percentage of outliers was 10%, and the extent of outliers was 100%. en
dc.language.iso en en
dc.publisher IEEE en
dc.rights c Copyright IEEE 2016 en
dc.subject estimation theory en
dc.subject project management en
dc.subject software engineering en
dc.subject outlier influence en
dc.subject analogy based software development effort estimation en
dc.subject project management en
dc.subject estimation accuracy en
dc.subject software size metric en
dc.subject Estimation en
dc.subject Software en
dc.subject Correlation en
dc.subject Mathematical model en
dc.subject Linear regression en
dc.subject Computer languages en
dc.subject Information science en
dc.subject case based reasoning en
dc.subject effort prediction en
dc.subject abnormal value en
dc.title Influence of outliers on analogy based software development effort estimation en
dc.type.nii Conference Paper en
dc.textversion author en
dc.identifier.spage 1 en
dc.identifier.epage 6 en
dc.relation.doi 10.1109/ICIS.2016.7550865 en
dc.identifier.NAIST-ID 73292310 en


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