作者: Stefan Wagner
DOI:
关键词: Sensitivity (control systems) 、 Operations research 、 Relevance (information retrieval) 、 Software 、 Software analytics 、 Quality assurance 、 Reliability engineering 、 Stochastic modelling 、 Calibration (statistics) 、 Relation (database) 、 Engineering
摘要: Analytical quality assurance (QA) constitutes a significant part of the development costs software. Therefore, it is important to optimise and benefits in this area. The main issue use combination different QA techniques. This dissertation proposes stochastic model economics analytical based on expected values. On basis model, effort for combined can be analysed optimally planned. A literature review was done parameters sensitivity analysis performed. It showed relevance factors relation predictions model. method prediction defect-prone components complements Moreover, several case studies have been performed order analyse calibration