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Influence of outliers on analogy based software development effort estimation

Influence of outliers on analogy based software development effort estimation

Authors :
Ono, Kenichi
Tsunoda, Masateru
Monden, Akito
Matsumoto, Kenichi
Ono, Kenichi
Tsunoda, Masateru
Monden, Akito
Matsumoto, Kenichi
Publication Year :
2023

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%.<br />ICIS 2016 : 2016 IEEE/ACIS 15th International Conference on Computer and Information Science, 26-29 June 2016, Okayama, Japan

Details

Database :
OAIster
Notes :
application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1378465491
Document Type :
Electronic Resource