Empirical Evaluation of Taxonomic Trace Links: A Case Study
Waleed Abdeen, Michael Unterkalmsteiner, Peter L\"owenadler, Parisa Yousefi, Krzysztof Wnuk

TL;DR
This paper empirically evaluates the Taxonomic Trace Links approach in an industrial setting, highlighting its practical benefits and challenges for software traceability.
Contribution
It provides an empirical case study of TTL in industry, identifying scenarios where it is effective and discussing implementation challenges.
Findings
TTL was useful in one of two evaluated scenarios.
Developing domain-specific taxonomies is challenging.
Classifier precision needs improvement for practical use.
Abstract
Context: Traceability is a key quality attribute of artifacts that are used in knowledge-intensive tasks and supports software engineers in producing higher-quality software. Despite its clear benefits, traceability is often neglected in practice due to challenges such as granularity of traces, lack of a common artifact structure, and unclear responsibility. The Taxonomic Trace Links (TTL) approach connects source and target artifacts through a domain-specific taxonomy, aiming to address these common traceability challenges. Objective: In this study, we empirically evaluate TTL in an industrial setting to identify its strengths and weaknesses for real-world adoption. Method: We conducted a mixed-methods study at Ericsson involving one of its software products. Quantitative and qualitative data were collected across two traceability use cases. We established trace links between 463…
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