An Evolutionary Analysis of Software-Architecture Smells

Philipp Gnoyke, Sandro Schulze, Jacob Krüger

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

10 Citations (Scopus)

Abstract

If software quality assurance is postponed or even abandoned for a software system, maintenance and evolution become harder or even impossible. One widely known symptom for the degradation of system quality are Architecture Smells (ASs), which violate fundamental principles of software design. In this paper, we present a study on the evolution of ASs as well as on how and when they foster system degradation. Thus, we provide valuable insights regarding what ASs are meaningful to assure system quality. To this end, we analyzed the evolution of three types of ASs in 14 open-source systems with a total of 485 versions. We adapted indicators used in previous studies to assess the severity of ASs (e.g., growth, lifetime), and relate ASs to technical debt as another established indicator. Our results indicate that 1) ASs remain mostly stable compared to the code size of a system, 2) certain types of ASs, such as cyclic dependencies, have a greater impact on system degradation, and 3) certain properties determine how much an AS contributes to software degradation. These findings are valuable for practitioners to identify and tackle system degeneration, as well as for researchers to scope new research on managing ASs and technical debt.
Original languageEnglish
Title of host publicationProceedings - 2021 IEEE International Conference on Software Maintenance and Evolution, ICSME 2021
PublisherIEEE Press
Pages413-424
Number of pages12
ISBN (Electronic)9781665428828
DOIs
Publication statusPublished - 2021

Bibliographical note

DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.

Keywords

  • Software maintenance
  • Software evolution
  • Architecture smells
  • Software quality
  • Technical debt
  • Empirical study
  • architecture smells
  • empirical study
  • software quality
  • software maintenance
  • technical debt
  • software evolution

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  • An Evolutionary Analysis of Software-Architecture Smells

    Gnoyke, P., Schulze, S. & Krüger, J., 2022, Software Engineering (SE). Grunske, L., Siegmund, J. & Vogelsang, A. (eds.). Gesellschaft für Informatik e.V. (GI), p. 33-34 2 p. (Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI); vol. P-320).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    Open Access

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