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The introduction of ISO 26262 concepts has brought important changes in the software development process for automotive software. While making the process more robust by introducing various additional methods of verification and validation, there has been a substantial increase in the development time. Thus, test automation and front loading approaches have become important to meet product timelines and quality. This paper proposes automated testing methods using formal analysis tools like Simulink Design Verifier™ (SLDV) for boundary value testing and interface testing to address the demands of ISO 26262 concepts at unit and component level. In addition, the method of automated boundary value testing proposed differs from the traditional methods and the authors offer an argument as to why the traditional boundary value testing is not required at unit (function) level. There are two aspects of the proposed method: automated test case generation and automated test case execution.

To improve the effectiveness and efficiency of decision making during vehicle development programmes, new interactive NVH simulation tools have been introduced. For their optimum use during the target setting of NVH attributes new methodologies need to be established. A valuable step in achieving this is to further understand opinion forming processes during on-road appraisals. To achieve this however new approaches to capture the events of an appraisal are needed. This paper reports on the first steps taken towards developing these new approaches and demonstrates how attitudes towards vehicle sound quality and driver behavior can vary depending on the personality traits of the assessor and their role within the OEM. This insight will provide a benchmark to compare how expert assessors and customers make decisions.

Sound quality targets for new vehicles are currently specified by jury evaluation techniques based upon listening studies in a sound laboratory. However, jury testing is costly, time consuming and at present there are no methods to include customer expectations or brand requirements. This paper describes a neural computing approach that is being developed to generate knowledge and tools to enable objective measures of a product's sound to be converted into a prediction of the subjective impression of potential customers without carrying out the traditional jury evaluation tests.