TY - GEN
T1 - Influence of outliers on analogy based software development effort estimation
AU - Ono, Kenichi
AU - Tsunoda, Masateru
AU - Monden, Akito
AU - Matsumoto, Kenichi
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/8/23
Y1 - 2016/8/23
N2 - 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%.
AB - 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%.
KW - abnormal value
KW - case based reasoning
KW - effort prediction
UR - http://www.scopus.com/inward/record.url?scp=84987967929&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84987967929&partnerID=8YFLogxK
U2 - 10.1109/ICIS.2016.7550865
DO - 10.1109/ICIS.2016.7550865
M3 - Conference contribution
AN - SCOPUS:84987967929
T3 - 2016 IEEE/ACIS 15th International Conference on Computer and Information Science, ICIS 2016 - Proceedings
BT - 2016 IEEE/ACIS 15th International Conference on Computer and Information Science, ICIS 2016 - Proceedings
A2 - Uehara, Kuniaki
A2 - Nakamura, Masahide
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 15th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2016
Y2 - 26 June 2016 through 29 June 2016
ER -