Webbläsaren som du använder stöds inte av denna webbplats. Alla versioner av Internet Explorer stöds inte längre, av oss eller Microsoft (läs mer här: * https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Var god och använd en modern webbläsare för att ta del av denna webbplats, som t.ex. nyaste versioner av Edge, Chrome, Firefox eller Safari osv.

Evaluation of Traceability Recovery in Context: A Taxonomy for Information Retrieval Tools

Författare

Redaktör

  • Teresa Baldassarre
  • Marcela Genero
  • Emilia Mendes
  • Mario Piattini

Summary, in English

Background: Development of complex, software intensive systems generates large amounts of information. Several researchers have developed tools implementing information retrieval (IR) approaches to suggest traceability links among artifacts. Aim: We explore the consequences of the fact that a majority of the evaluations of such tools have been focused on benchmarking of mere tool output. Method: To illustrate this issue, we have adapted a framework of general IR evaluations to a context taxonomy specifically for IR-based traceability recovery. Furthermore, we evaluate a previously proposed experimental framework by conducting a study using two publicly available tools on two datasets originating from development of embedded software systems. Results: Our study shows that even though both datasets contain software artifacts from embedded development, the characteristics of the two datasets differ considerably, and consequently the traceability outcomes. Conclusions: To enable replications and secondary studies, we suggest that datasets should be thoroughly characterized in future studies on traceability recovery, especially when they can not be disclosed. Also, while we conclude that the experimental framework provides useful support, we argue that our proposed context taxonomy is a useful complement. Finally, we discuss how empirical evidence of the feasibility of IR-based traceability recovery can be strengthened in future research.

Publiceringsår

2012

Språk

Engelska

Sidor

111-120

Publikation/Tidskrift/Serie

16th International Conference on Evaluation & Assessment in Software Engineering (EASE 2012)

Dokumenttyp

Konferensbidrag

Förlag

IEEE - Institute of Electrical and Electronics Engineers Inc.

Ämne

  • Computer Science

Nyckelord

  • empirical software engineering
  • traceability recovery
  • information retrieval
  • experiment

Conference name

16th International Conference on Evaluation & Assessment in Software Engineering

Conference date

2012-05-14

Conference place

Ciudad Real, Spain

Status

Published

Projekt

  • Embedded Applications Software Engineering

ISBN/ISSN/Övrigt

  • ISBN: 978-1-84919-541-6