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RISTI - Revista Ibérica de Sistemas e Tecnologias de Informação

versão impressa ISSN 1646-9895

Resumo

NORAMBUENA, Brian Keith  e  ZEPEDA, Vianca Vega. Process mining applications in software engineering. RISTI [online]. 2017, n.21, pp.51-66. ISSN 1646-9895.  http://dx.doi.org/10.17013/risti.21.51-66.

Process mining is a field that uses elements from data mining and business process modeling to do tasks such as process discovery, conformance checking, and process improvement. The objective of this paper is to show the importance and practical usefulness of applying process mining approaches in software engineering. It shows a series of case studies that illustrate possible applications in the process and the product. Also, the main current challenges in applying process mining in software engineering are described. The main result of this study is the fact that using process mining facilitates software process evaluation and auditing. The development of a methodology for applying process mining in software engineering is proposed as future work.

Palavras-chave : process mining; software development; process assessment; process improvement.

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