EFFORT REDUCTION OF QUALITY ASSURANCE FOR COMPLEX SYSTEMS THROUGH FAULT ESTIMATION

Abstract

The structural complexity of hybrid systems increases constantly and thus leads to an increasing number of faults. Hence, the proportions of project costs that are due to quality assurance grow accordingly. Methods to reduce these costs have to be developed. In this paper, encouraging experiences of deducing and applying fault estimation models in industrial projects are presented. These models support the identification of extremely complex and fault-prone systems and their components. Thus, quality assurance arrangements like testing might focus on critical components, which is supposed to improve the quality of systems and their components more effectively and should lead to notable cost-cuttings. Although we focus on object-oriented systems, the presented estimation method is conceptual and therefore applicable to arbitrary target factors to deduce models for arbitrary estimations.