Presentation | 2012-01-26 Evaluation of Identification of Variables to Transform into Logarithmic in Cost Prediction Kenta MIYOSHI, Katsuma UBUKATA, Takeshi KAKIMOTO, Shinji KUSUMOTO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | With the development of large and complex software, it may become difficult to proceed the project according to designed, due to its "quality", "cost", and "delivery". In software development, effort has been made to predict the schedule of administration. The prediction accuracy is improved by logarithmic transformation of variables, which is used to predict. However, it is not effective to transform all variables into logarithmic. It takes too much time and not realistic to check for each variable whether it should be transformed or not. It is efficient to select important variables which are expected to improve the prediction accuracy by transform into logarithmic compared to the case we transform for comparison. In the proposed method, we divided whole project into small sections, and determined the inclination in each divided segment, and decide whether the variable should be transform into logarithmic or not by the continuousness of increasing inclination. As a result, better prediction accuracy was obtained by our method, and the accuracy was higher compared to the case of techniques to compare. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Effort Prediction / Multiple regression analysis / Normal distribution / Kurtosis / Skewness |
Paper # | MSS2011-56,SS2011-41 |
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Committee | MSS |
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Conference Date | 2012/1/19(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Mathematical Systems Science and its applications(MSS) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Evaluation of Identification of Variables to Transform into Logarithmic in Cost Prediction |
Sub Title (in English) | |
Keyword(1) | Effort Prediction |
Keyword(2) | Multiple regression analysis |
Keyword(3) | Normal distribution |
Keyword(4) | Kurtosis |
Keyword(5) | Skewness |
1st Author's Name | Kenta MIYOSHI |
1st Author's Affiliation | Department of Electrical and Computer Engineering, Kagawa National College of Technology() |
2nd Author's Name | Katsuma UBUKATA |
2nd Author's Affiliation | Nomura Research Institute |
3rd Author's Name | Takeshi KAKIMOTO |
3rd Author's Affiliation | Department of Electrical and Computer Engineering, Kagawa National College of Technology |
4th Author's Name | Shinji KUSUMOTO |
4th Author's Affiliation | Graduate School of Information Science and Technology, Osaka University |
Date | 2012-01-26 |
Paper # | MSS2011-56,SS2011-41 |
Volume (vol) | vol.111 |
Number (no) | 405 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |