Towards more intelligent trace retrieval algorithms
Jane Cleland‐Huang, Jin Guo · 2014
Automated trace creation techniques are based on a variety of algorithms ranging from basic term matching approaches to more sophisticated expert systems. In this position paper we propose a classification scheme for categorizing the intelligence level of automated traceability techniques. We show that the vast majority of relevant work in the past decade has been focused at the lowest level of the Traceability Intelligence Quotient (tIQ) and posit that achieving high quality automated traceability will require re-focusing research efforts on the development of more intelligent algorithms capable of reasoning about concepts, their relationships and constraints, and the contexts in which they occur.