Regression Testing Prioritization Based on Fuzzy Inference Systems

نویسندگان

  • Pedro de Alcântara dos Santos Neto
  • Ricardo Britto
  • Thiago Soares
  • Werney Ayala
  • Jonathas Cruz
  • Ricardo de Andrade Lira Rabelo
چکیده

The software testing is a fundamental activity related to product quality. However, it is not performed in suitable way by many organizations. It is necessary to execute testing in a systematic and planned way. This work presents a fuzzy inference system for test case prioritization, based on the use of inputs related to volatility, complexity and relevance of requirements. The developed inference system allows the specification of a prioritization strategy by the tester based on linguistic rules in a simple and easy way.

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تاریخ انتشار 2012