Empirical Evaluation of Taxonomic Trace Links: A Case Study
2026-04-09 • Software Engineering
Software Engineering
AI summaryⓘ
The authors studied a method called Taxonomic Trace Links (TTL) to help software engineers keep track of how different parts of their work relate to each other. They tested TTL in a real company and found it useful for some tasks, but not all. They also noted that creating the special taxonomy needed for TTL and dealing with different document types can be hard. The authors suggest TTL works best as a helper tool alongside traditional tracking methods, not as a full replacement.
traceabilitysoftware engineeringtrace linkstaxonomyISO-standard requirementstest casesbusiness use casesclassifier precisionartifact structuremixed-methods study
Authors
Waleed Abdeen, Michael Unterkalmsteiner, Peter Löwenadler, Parisa Yousefi, Krzysztof Wnuk
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 business use cases, 64 test cases, and 277 ISO-standard requirements. Additionally, we held three focus group sessions with practitioners. Results: We identified two practically relevant scenarios where traceability is required and evaluated TTL in each. Overall, practitioners found TTL to be a useful solution for one of the scenarios, while less useful for the other. However, developing a domain-specific taxonomy and managing heterogeneous artifact structures were noted as significant challenges. Moreover, the precision of the classifier that is used to create trace links needs to be improved to make the solution practical. Conclusion: TTL is a promising approach that can be adopted in practice and enables traceability use cases. However, TTL is not a replacement for traditional trace links, but rather complements them to enable more traceability use cases and encourage the early creation of trace links.