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RISTI - Revista Ibérica de Sistemas e Tecnologias de Informação

versão impressa ISSN 1646-9895

Resumo

AVILA, Silvana de Gyves et al. A Data Analysis Platform to Evaluate Performance During Software Development Process. RISTI [online]. 2020, n.36, pp.50-64. ISSN 1646-9895.  http://dx.doi.org/10.17013/risti.36.20-64.

Performance is one of the most important parameters to consider during the software development process. It is used as competitive advantage among similar solutions. Assuring expected performance levels is not trivial since it requires to run exhaustive tests and the analysis of Big Data. Normally, companies rely on commercial solutions to produce performance analytics. However, these require a significant effort to be adapted to particular performance use cases. In this paper, we describe DDP, a platform to analyze performance testing data. DDP uses Big Data technology to collect, store, process and analyze performance results in an integrated way. We demonstrated the successful use of DDP evaluating the performance of “Spectrum Scale”, a software defined storage solution. We illustrate the use of DDP analyzing data from performance regression tests to verify and validate the quality of new versions build during the development process.

Palavras-chave : software quality; performance; big data; data science.

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