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Identifying and Prioritizing Architectural Debt Through Architectural Smells: A Case Study in a Large Software Company

Martini, Antonio; Arcelli Fontana, Francesca; Biaggi, Andrea; Roveda, Riccardo
Chapter; AcceptedVersion; Peer reviewed
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identifying-prioritizing-architectural_CR.pdf (828.6Kb)
Year
2018
Permanent link
http://urn.nb.no/URN:NBN:no-74686

CRIStin
1619172

Is part of
Lecture Notes in Computer Science
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  • Institutt for informatikk [3603]
  • CRIStin høstingsarkiv [15888]
Original version
12th European Conference on Software Architecture, ECSA 2018, Madrid, Spain, September 24–28, 2018, Proceedings. 2018, 320-335, DOI: http://dx.doi.org/10.1007/978-3-030-00761-4_21
Abstract
Architectural technical debt can have a huge impact on software maintainability and evolution. Hence, different architectural violations, detected as architectural smells, need to be identified and refactored. In this paper, we conducted a multiple case-study on several architectural smells detected in four industrial projects. We conducted an in-depth investigation with a questionnaire, interviews and thorough inspection of the code with the practitioners. We evaluated the negative impact of the technical debt detected by the architectural smells, their difficulty to be refactored and the usefulness of the detection tool. The results show that practitioners appreciated the help of automatic detection, and that they prioritize refactoring architectural debt that causes more negative impact despite the higher refactoring effort.
 
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