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2018 | OriginalPaper | Buchkapitel

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

verfasst von : Antonio Martini, Francesca Arcelli Fontana, Andrea Biaggi, Riccardo Roveda

Erschienen in: Software Architecture

Verlag: Springer International Publishing

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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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Vorheriges Kapitel Software Architecture Measurement—Experiences from a Multinational Company

Nächstes Kapitel Software Migration and Architecture Evolution with Industrial Platforms: A Multi-case Study

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Titel: Identifying and Prioritizing Architectural Debt Through Architectural Smells: A Case Study in a Large Software Company
verfasst von: Antonio Martini
Francesca Arcelli Fontana
Andrea Biaggi
Riccardo Roveda
Verlag: Springer International Publishing
Buch: Software Architecture
Print ISBN: 978-3-030-00760-7

Electronic ISBN: 978-3-030-00761-4

Copyright-Jahr: 2018
DOI: https://doi.org/10.1007/978-3-030-00761-4_21

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