Self-driving cars are on the horizon, making it necessary to consider safety assurance and
homologation of these autonomously operating vehicles. In this study, we systematically …

In this paper we propose a new method for generating test scenarios for black-box
autonomous systems that demonstrate critical transitions in performance modes. This …

Abstract Context Search-based Software Testing (SBST) is a research field where testing a
software product is formulated as an optimization problem. It is an active sub-area of Search …

We propose a novel method for generating test scenarios for a black box autonomous
system that demonstrate critical transitions in its performance modes. In complex …

Recently, many meta-heuristic algorithms have been proposed to serve as the basis of a t-
way test generation strategy (where t indicates the interaction strength) including Genetic …

The sine-cosine algorithm (SCA) is a new population-based meta-heuristic algorithm. In
addition to exploiting sine and cosine functions to perform local and global searches (hence …

Context To improve the quality and correctness of a software product it is necessary to test
different aspects of the software system. Among different approaches for software testing …

The teaching learning-based optimization (TLBO) algorithm has shown competitive
performance in solving numerous real-world optimization problems. Nevertheless, this …

This paper presents a technique to minimize the number of test cases in configuration-aware
structural testing. Combinatorial optimization is used first to generate an optimized test suite …

In recent years, combinatorial testing methods have been successfully applied to test
systems with a larger number of input parameters. Generating combinatorial test sets for …