Synthesized dataset for search-based test data generation methods focused on MC/DC criterion

Abstract

Unit testing focused on the Modified Condition/Decision Coverage (MC/DC) criterion is essential in development of safety-critical systems as recommended by international standards. Designing unit tests for such specific software is time-consuming task which can be partially automated by test data generation methods. Special attention is given to search-based methods which are often used for problems where traditional methods like symbolic execution fall short. However, no publicly available dataset for evaluation of such methods taking into account specifics of the MC/DC criterion, which is esential for safety-critical systems. In this paper we present an analysis of software of safety-critical systems and we postulate to find a fitting open source project which could serve as a synthesized dataset for future evaluations of search-based test data generation methods for the MC/DC criterion.