Resumen

MENESES-RUIZ, Jaime Herney et al. VS.Net Add-on for Optimal Definition of Black Box Software Testing Using Covering Arrays. Rev. ing. univ. Medellín [online]. 2018, vol.17, n.33, pp.121-137. ISSN 1692-3324.  https://doi.org/10.22395/rium.v17n33a6.

Software testing can exceed 50% of the total cost of a software project, which is why companies need an alternative to reduce their cost and time of implementation. This research proposes the use of combinatorial structures known as Covering Arrays (CA) and Mixed Covering Arrays (MCA), which guarantee the detection up to 100% of errors with a mini mum amount of testing. With this approach, a Visual Studio.NET add-on was developed for the optimization of the tests and its use was evaluated with students of last academic term of Computer Science Engineering and of a software company. The results obtained are promising and motivate the research group to disseminate its work at the national level. The research project was funded by the Vice-Principal Office of Research of the Universidad del Cauca.

Palabras clave : test cases; combinatorial tests; covering arrays; mixed covering arrays; simulated annealing; .Net complement.

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