Comprehensive Technology Framework for effective and early leveraging of test assets

The automotive industry is going through a tremendous technological change and its impact on the way we test the functionalities that we offer to the end consumer is continually evolving. This includes the ever-growing need to embed software-based functions to support more and more end user functionality, while at the same time retaining existing and well-established functions, all within short development timelines. This presents both opportunities and challenges, with greater potential for reuse or leverage of test assets, although the actual percentage of leverage on real world projects is practically less than anticipated for a multitude of reasons. As part of paper, we collate the various factors which effect the practical leverage of test assets from one project to another, including various workflows and the interaction across components amongst applications lifecycle management systems. Through this paper, we would describe the current practices of basis analysis in isolation in combination with components of application lifecycle management (ALM) frameworks and their workflow across various levels of complexity products. In the analysis phase, we identify few anti-patterns in our current approach and shift the focus of the paper towards introducing a novel approach which blends the basis analysis along re-defined means in using ALM frameworks. The novelty in this framework lies in applying a combination of various industry-leading concepts on keyword extraction, interaction matrix, blending the use of various mathematical co-efficient for basis similarity vs differences, the statistical evaluation of various combination of those in deriving the best value for those. We interconnect all together for a very nuanced rule based engine, which would scale up from being an assisted framework to a fully automated framework which benefits in consistent and substantial leverage of test assets.