Geração automática de especificações de requisitos e de casos de teste baseada em padrões de requisitos com comportamento
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2020-10-23
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Universidade Federal de Goiás
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The requirements guide all software development activities and establishing them correctly, becomes essential for the success of the project. For the most part, the specification of the software requirements is carried out in a descriptive and informal manner, causing negative impacts on the project. One solution that can improve the quality of the software requirements specification document is to use the Software Requirement Standard (PRS). However, research indicates that there are limitations to implementing PRS, among them, the lack of tooling support to enable the adoption of the use of standards. In this context, the present work proposes the development of a tool based on a PRS integration metamodel with software testing standards for automatic generation of the software requirements specification document and the test case specification document, from pattern catalogs. In order to assess the quality of the requirements specification and test case specification documents, a survey was carried out with professionals in the software market, researchers and graduate students with different levels of experience in Requirements Engineering and Software Testing. The quality characteristics for assessing the artifacts were defined based on ISO / IEC 24766: 2009 (requirements) and ISO / IEC 25051: 2014 (test cases). The results of the evaluation show that the documents considerably meet the quality aspects and that the respondents had a good impression in relation to the documents. There were qualitative contributions from the professionals regarding the quality of the artifacts. In general, the evaluators understand that the automatic generation of documents from PRS streamlines the requirements specification and test case activities.
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QUEIROZ, P. R. Geração automática de especificações de requisitos e de casos de teste baseada em padrões de requisitos com comportamento. 2020. 176 f. Dissertação (Mestrado em Ciência da Computação) - Universidade Federal de Goiás, Goiânia, 2020.