A Survey-driven Feature Model for Software Traceability Approaches

Abstract Traceability is the capability to represent, understand and analyze relationships between software artefacts. at core of many engineering activities. This a blessing in disguise as traceability research scattered among various subfields, which impairs global view integration different innovations around recording, identification, evaluation management traces. also limits adoption solutions industry. In this sense, goal paper present characterization mechanism feature model depicting shared variable elements any proposal. The features are derived from survey papers related published literature. We believe useful assess compare proposals provide common terminology background. Beyond model, we conducted help us identify number challenges be solved order move forward, especially context where, due increasing importance AI techniques Software Engineering, traces more important than ever able reproduce explain decisions.