| Presentation | 2006-12-15 A Study on Linearized Growth Curve Models for Software Reliability Data Analysis Taketoshi MAEDA, Mitsuhiro KIMURA, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This study discusses a method for applying a linear regression analysis to software reliability data. By expanding five traditional growth curve models, we propose a linearlized growth curve model. The unknown parameters included in the model can be estimated by log-linear regression with the method of two-parameter numerical differentiation. This log-linear regression scheme can provide a control chart representing the degree of software reliability growth and testing progress in a software testing phase, and the estimated growth curve can be used as a generalized growth curve model. We show several numerical examples of software reliability growth data analysis and discuss the performance of the proposed method. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Software reliability / Growth curve / Regression analysis / Central difference |
| Paper # | R2006-44,SSS2006-25 |
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| Conference Information | |
| Committee | SSS |
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| Conference Date | 2006/12/8(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Safety (SSS) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Study on Linearized Growth Curve Models for Software Reliability Data Analysis |
| Sub Title (in English) | |
| Keyword(1) | Software reliability |
| Keyword(2) | Growth curve |
| Keyword(3) | Regression analysis |
| Keyword(4) | Central difference |
| 1st Author's Name | Taketoshi MAEDA |
| 1st Author's Affiliation | Graduate School of Engineering, Hosei University() |
| 2nd Author's Name | Mitsuhiro KIMURA |
| 2nd Author's Affiliation | Faculty of Engineering, Hosei University |
| Date | 2006-12-15 |
| Paper # | R2006-44,SSS2006-25 |
| Volume (vol) | vol.106 |
| Number (no) | 431 |
| Page | pp.pp.- |
| #Pages | 6 |
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