Enabling Traceability Reuse for Impact Analyses: A Feasibility Study in a Safety Context

Markus Borg, Orlena Gotel, Krzysztof Wnuk

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Abstract

Engineers working on safety critical software development must explicitly specify trace links as part of Impact Analyses (IA), both to code and non-code development artifacts. In large-scale projects, constituting information spaces of thousands of artifacts, conducting IA is tedious work relying on extensive system understanding. We propose to support this activity by enabling engineers to reuse knowledge from previously completed IAs. We do this by mining the trace links in documented IA reports, creating a semantic network of the resulting traceability, and rendering the resulting network amenable to visual analyses. We studied an Issue Management System (IMS), from within a company in the power and automation domain, containing 4,845 IA reports from 9 years of development relating to a single safety critical system. The domain has strict process requirements guiding the documented IAs. We used link mining to extract trace links, from these IA reports to development artifacts, and to determine their link semantics. We constructed a semantic network of the interrelated development artifacts, containing 6,104 non-code artifacts and 9,395 trace links, and we used two visualizations to examine the results. We provide initial suggestions as to how the knowledge embedded in such a network can be (re-)used to advance support for IA.
Original languageEnglish
Title of host publicationProceedings of the 7th International Workshop on Traceability in Emerging Forms of Software Engineering
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Pages72-78
Number of pages7
Publication statusPublished - 2013
Event7th International Workshop on Traceability in Emerging Forms of Software Engineering - San Francisco
Duration: 2013 May 19 → …

Conference

Conference7th International Workshop on Traceability in Emerging Forms of Software Engineering
Period2013/05/19 → …

Subject classification (UKÄ)

  • Computer Science

Free keywords

  • impact analysis
  • issue management
  • traceability
  • data mining
  • semantic networks
  • visualization

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