| dc.contributor | Mariza Andrade da Silva Bigonha | |
| dc.contributor | Kécia aline Marques Ferreira | |
| dc.contributor | Antonio Francisco do Prado | |
| dc.contributor | Roberto da Silva Bigonha | |
| dc.creator | Henrique Gomes Nunes | |
| dc.date.accessioned | 2019-08-10T08:15:01Z | |
| dc.date.accessioned | 2022-10-03T22:43:35Z | |
| dc.date.available | 2019-08-10T08:15:01Z | |
| dc.date.available | 2022-10-03T22:43:35Z | |
| dc.date.created | 2019-08-10T08:15:01Z | |
| dc.date.issued | 2014-02-28 | |
| dc.identifier | http://hdl.handle.net/1843/ESBF-9KHJHR | |
| dc.identifier.uri | http://repositorioslatinoamericanos.uchile.cl/handle/2250/3809236 | |
| dc.description.abstract | Software metrics may aid to identify design deviances, known in the literature as bad smells and are useful for evaluating the quality of source code. They also can be used for identifying design deviances in the early stages of the software lifecycle. This dissertation aims to contribute in this aspect, proposing a method and a tool for identifying bad smells, using software metrics, in UML models. In this work, we carried out two experiments to evaluate the proposed method: the first one aimed to evaluate the results of our method when applied to old versions as well as to refactored versions of six open source projects; in the second experiment, we compare the results of our method with the results of manual inspections. The results of these experiments indicate that our method is able to identify the bad smells analyzed in this study. | |
| dc.publisher | Universidade Federal de Minas Gerais | |
| dc.publisher | UFMG | |
| dc.rights | Acesso Aberto | |
| dc.subject | Bad smells | |
| dc.subject | Qualidade de software | |
| dc.subject | Métricas | |
| dc.subject | Estratégias de detecção | |
| dc.subject | Valores referência | |
| dc.subject | Modelo UML | |
| dc.title | Identificação de bad smells em software a partir de modelos UML | |
| dc.type | Dissertação de Mestrado | |
