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Applying empirical software engineering to software architecture: Challenges and lessons learned

  • Davide Falessi
    ,
  • Muhammad Ali Babar
    ,
  • Giovanni Cantone
    ,
  • Philippe Kruchten
  • University of Rome Tor Vergata
    ,
  • University of British Columbia
Research Output:
Journal Article or Conference Article in Journal
Journal article
Peer-review

Open access

Publication Information

Output type

Research Output:
Journal Article or Conference Article in Journal
Journal article
Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 250-276 (27 pages)

Journal (Volume, Issue Number)

Empirical Software Engineering (Volume 15)

Publication milestones

  • Published - 01/06/2010

Publication status

Published - 01/06/2010

ISSN

1382-3256

Publication IDs

  • Scopus: 77954757381

Abstract

In the last 15 years, software architecture has emerged as an important software engineering field for managing the development and maintenance of large, software-intensive systems. Software architecture community has developed numerous methods, techniques, and tools to support the architecture process (analysis, design, and review). Historically, most advances in software architecture have been driven by talented people and industrial experience, but there is now a growing need to systematically gather empirical evidence about the advantages or otherwise of tools and methods rather than just rely on promotional anecdotes or rhetoric. The aim of this paper is to promote and facilitate the application of the empirical paradigm to software architecture. To this end, we describe the challenges and lessons learned when assessing software architecture research that used controlled experiments, replications, expert opinion, systematic literature reviews, observational studies, and surveys. Our research will support the emergence of a body of knowledge consisting of the more widely-accepted and well-formed software architecture theories.

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