Abstract
Supervision software is an important part of supervisory control and data acquisition systems. It is ubiquitous in industrial applications and there is an increasing need for management methods to evaluate this software. In this paper, we describe a new method to evaluate supervision software using fuzzy logic and ISO/IEC 25000 standards which, together, are able to organize the evaluation phases and to indicate the quality degree of the software product. The method aggregates the opinion of experts in a preferential voting system, in which the opinion is weighted by the expert experience and agreement with the majority. The method defines the quality degree of each software requirement in a quality index, which is obtained by comparing the results of the evaluation with the quality standard developed for this specific problem. A 1.5-year-long experiment with beginner programmers illustrates the application of the method, and the results show the improvements that must be made in the software developed by them. With this new way of evaluating supervision software, programmers can identify problems in requirements, evaluate software and propose efficient solutions.
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