SEJul 30, 2018

Automating Requirements Traceability: Two Decades of Learning from KDD

arXiv:1807.11454v110 citations
Originality Synthesis-oriented
AI Analysis

This addresses the challenge of managing software requirements for developers and engineers, but it appears incremental as it builds on long-standing KDD methods.

The paper tackles the problem of automating requirements traceability by applying Knowledge Discovery in Data (KDD) methodology over two decades, summarizing experiences and insights gained from this approach.

This paper summarizes our experience with using Knowledge Discovery in Data (KDD) methodology for automated requirements tracing, and discusses our insights.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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