A Comparative Study of Three Test Effort Estimation Methods
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| Natura: | Artículo científico |
| Lingua: | en |
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Universidad de las Ciencias Informáticas
2014
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| _version_ | 1876472231818690560 |
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| author | Natália França Felipe |
| author_facet | Natália França Felipe |
| contents | A Comparative Study of Three Test Effort Estimation Methods Natália França Felipe Raphael Pena Cavalcanti Eduardo Habib Bechelane Maia Weber Porto Amaral Augusto Campos Farnese Leonardo Daniel Tavares Eustáquio São José de Faria Clarindo Isaias Pereira da Silva e Padua Wilson de Pádua Paula Filho Computación TPA UCP Testing Use Case Points Test Point Analysis Effort estimation is a big challenge for those trying to manage a project. In a software development project, testing is essential to assure product quality. However, it is a time consuming activity, and its work must be estimated for successful project execution. In our research, we concentrate our efforts on comparing some known methods of test effort estimation. So, this paper aims to analyze three different test effort estimation methods and compare them with the effort spent on real projects. Firstly we compare two widely used effort estimation methods: Test Point Analysis (TPA) and Use Case Points (UCP). Thereafter, we create an artificial neural network (ANN) based on the TPA, trained to estimate the testing work in software development projects, and compare it with pure TPA, to check which of them results in better estimates. Analyzing the experiment results, we concluded that the neural networks gave the best results, followed by TPA and then UCP. 2014 artículo científico 1994-1536 https://www.redalyc.org/articulo.oa?id=378334196001 en http://www.redalyc.org/revista.oa?id=3783 Revista Cubana de Ciencias Informáticas application/pdf Universidad de las Ciencias Informáticas Revista Cubana de Ciencias Informáticas (Cuba) Vol.8 |
| format | Artículo científico |
| id | redalyc_378334196001 |
| institution | Redalyc |
| language | en |
| publishDate | 2014 |
| publisher | Universidad de las Ciencias Informáticas |
| spellingShingle | A Comparative Study of Three Test Effort Estimation Methods Natália França Felipe Computación TPA UCP Testing Use Case Points Test Point Analysis A Comparative Study of Three Test Effort Estimation Methods Natália França Felipe Raphael Pena Cavalcanti Eduardo Habib Bechelane Maia Weber Porto Amaral Augusto Campos Farnese Leonardo Daniel Tavares Eustáquio São José de Faria Clarindo Isaias Pereira da Silva e Padua Wilson de Pádua Paula Filho Computación TPA UCP Testing Use Case Points Test Point Analysis Effort estimation is a big challenge for those trying to manage a project. In a software development project, testing is essential to assure product quality. However, it is a time consuming activity, and its work must be estimated for successful project execution. In our research, we concentrate our efforts on comparing some known methods of test effort estimation. So, this paper aims to analyze three different test effort estimation methods and compare them with the effort spent on real projects. Firstly we compare two widely used effort estimation methods: Test Point Analysis (TPA) and Use Case Points (UCP). Thereafter, we create an artificial neural network (ANN) based on the TPA, trained to estimate the testing work in software development projects, and compare it with pure TPA, to check which of them results in better estimates. Analyzing the experiment results, we concluded that the neural networks gave the best results, followed by TPA and then UCP. 2014 artículo científico 1994-1536 https://www.redalyc.org/articulo.oa?id=378334196001 en http://www.redalyc.org/revista.oa?id=3783 Revista Cubana de Ciencias Informáticas application/pdf Universidad de las Ciencias Informáticas Revista Cubana de Ciencias Informáticas (Cuba) Vol.8 |
| title | A Comparative Study of Three Test Effort Estimation Methods |
| topic | Computación TPA UCP Testing Use Case Points Test Point Analysis |
| url | https://www.redalyc.org/articulo.oa?id=378334196001 |