The automotive industry is undergoing a significant technological transformation, which is continually impacting the methods used to test the functionalities, delivered to end consumer. 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. This paper collates 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. Alongside, it describes 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. During the analysis phase, few anti-patterns in the current approach are identified, leading to a shift in the paper’s focus towards introducing a novel approach that blends the basis analysis with 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 fit for leverage of test assets. The resulting integration culminates in a very nuanced rule-based engine, which would seamlessly scale up from being an assisted framework to a fully automated framework, which enables in consistent and substantial leverage of test assets.