Managing Traceability Information Models: Not such a simple task after all?
This highlights a gap in supporting practitioners in systems engineering with traceability management, though it is incremental as it identifies rather than solves the problem.
The study investigated how companies manage traceability information models (TIMs) in practice, finding that existing scientific literature poorly supports practitioners due to unaddressed needs like scale and workflow integration. It calls for the requirements engineering and traceability communities to refocus research on these practical challenges.
Practitioners are poorly supported by the scientific literature when managing traceability information models (TIMs), which capture the structure and semantics of trace links. In practice, companies manage their TIMs in very different ways, even in cases where companies share many similarities. We present our findings from an in-depth focus group about TIM management with three different systems engineering companies. We find that the concrete needs of the companies as well as challenges such as scale and workflow integration are not considered by existing scientific work. We thus issue a call-to-arms for the requirements engineering and software and systems traceability communities, the two main communities for traceability research, to refocus their work on these practical problems.