2017 Fiscal Year Final Research Report
A study on effort estimation models for lively changing software industries
| Project/Area Number |
15K15975
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Software
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| Research Institution | Okayama Prefectural University |
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Principal Investigator |
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| Research Collaborator |
Lokan Chris
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| Project Period (FY) |
2015-04-01 – 2018-03-31
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| Keywords | 「鮮度」を考慮した工数見積もりの有効性 / 「鮮度」の有効性の自動判別 |
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| Outline of Final Research Achievements |
This study first revealed that using recent project data and throwing away old project data could contribute to improving the estimation accuracy of software effort estimation models with empirical studies on multiple estimation models. On a negative case where the focus on the recent data was not effective, data analysis made it turn out that some possible factors that past studies considered as a cause of the ineffectiveness were not really the cause. An automatic classification method was then developed for suggesting whether a project to be estimated could gain a more accurate estimate by using only recent project data or not.
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| Free Research Field |
ソフトウェア工学
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