Adequacy checking of personal software development effort estimation models based upon fuzzy logic: a replicated experiment
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| Format: | Artículo científico |
| Language: | en |
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Instituto Politécnico Nacional
2008
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| _version_ | 1876442618648330240 |
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| author | Cuauhtémoc López Martín |
| author_facet | Cuauhtémoc López Martín |
| contents | Adequacy checking of personal software development effort estimation models based upon fuzzy logic: a replicated experiment Cuauhtémoc López Martín Agustín Gutiérrez Tornés Edgardo Felipe Riverón Cornelio Yáñez Márquez Computación Fuzzy logic Linear Regression Magnitude of Relative Error Software development effort estimation There are two main stages for using an estimation model (1) it must be determined whether the model is adequate to describe the observed (actual) data, that is, the model adequacy checking or verification; if it resulted adequate then (2) the estimation model is validated in its environment using new data. This paper is related to the first step. An investigation aimed to compare personal Fuzzy Logic Systems (FLS) with linear regression is presented. These FLS are derived from a replicated experiment using a sample integrated by ten developers. This experiment is based on both a common process and inside of a controlled environment. In six of ten cases the multiple range tests for Magnitude of Relative Error (MRE) by technique show that fuzzy logic is slightly better than linear regression. These results show that a FLS could be use as an alternative for the software development effort estimation at personal level. 2008 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61511403 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.4 Vol.11 |
| format | Artículo científico |
| id | redalyc_61511403 |
| institution | Redalyc |
| language | en |
| publishDate | 2008 |
| publisher | Instituto Politécnico Nacional |
| spellingShingle | Adequacy checking of personal software development effort estimation models based upon fuzzy logic: a replicated experiment Cuauhtémoc López Martín Computación Fuzzy logic Linear Regression Magnitude of Relative Error Software development effort estimation Adequacy checking of personal software development effort estimation models based upon fuzzy logic: a replicated experiment Cuauhtémoc López Martín Agustín Gutiérrez Tornés Edgardo Felipe Riverón Cornelio Yáñez Márquez Computación Fuzzy logic Linear Regression Magnitude of Relative Error Software development effort estimation There are two main stages for using an estimation model (1) it must be determined whether the model is adequate to describe the observed (actual) data, that is, the model adequacy checking or verification; if it resulted adequate then (2) the estimation model is validated in its environment using new data. This paper is related to the first step. An investigation aimed to compare personal Fuzzy Logic Systems (FLS) with linear regression is presented. These FLS are derived from a replicated experiment using a sample integrated by ten developers. This experiment is based on both a common process and inside of a controlled environment. In six of ten cases the multiple range tests for Magnitude of Relative Error (MRE) by technique show that fuzzy logic is slightly better than linear regression. These results show that a FLS could be use as an alternative for the software development effort estimation at personal level. 2008 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61511403 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.4 Vol.11 |
| title | Adequacy checking of personal software development effort estimation models based upon fuzzy logic: a replicated experiment |
| topic | Computación Fuzzy logic Linear Regression Magnitude of Relative Error Software development effort estimation |
| url | https://www.redalyc.org/articulo.oa?id=61511403 |