Publicação
An empirical study on the estimation of size and complexity of software applications with function points analysis
| Resumo: | Empirical studies are important in software engineering to evaluate new tools, techniques, methods and technologies in a structured way before they are introduced in the industrial (real) software process. Perform empirical studies in a real context is very difficult due to various obstacles. An interesting alternative is perform empirical studies in an educational context using students as subjects and share the results with the academia and the industry. This paper describes a case study with two teams that developed a software system (Web application) for a real customer. In this study we used a model based on Function Points Analysis (FPA) to estimate the size and complexity of software system. |
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| Autores principais: | Alves, Luís M. |
| Outros Autores: | Oliveira, Sérgio; Ribeiro, Pedro; Machado, Ricardo J. |
| Assunto: | Empirical studies Software engineering management Software engineering process Software quality Function point function points analysis |
| Ano: | 2014 |
| País: | Portugal |
| Tipo de documento: | comunicação em conferência |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Instituto Politécnico de Bragança |
| Idioma: | inglês |
| Origem: | Biblioteca Digital do IPB |
| Resumo: | Empirical studies are important in software engineering to evaluate new tools, techniques, methods and technologies in a structured way before they are introduced in the industrial (real) software process. Perform empirical studies in a real context is very difficult due to various obstacles. An interesting alternative is perform empirical studies in an educational context using students as subjects and share the results with the academia and the industry. This paper describes a case study with two teams that developed a software system (Web application) for a real customer. In this study we used a model based on Function Points Analysis (FPA) to estimate the size and complexity of software system. |
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