Maximizing Test Coverage for Security Threats Using Optimal Test Data Generation

As time continues to advance, the need for robust security threat mitigation has become increasingly vital in software. It is a constant struggle maximize test coverage through optimal data generation. We conducted explanatory research of requirements as modeled structured misuse case description (SMCD). The acceptance designed threats. Mal activity from SMCD upon which constraints are specified object constraint language (OCL) order minimize human dependency and improve consistency design. study compared two state-of-the-art maximization approaches was evident results that MC/DC generated data, i.e., n + 1 conditions comparison decision approach, 2n Thus, resulted significantly lower number cases yet maximized We, therefore, conclude maximizes at design level mitigation.