research-article

Automatically detecting architecturally-relevant code anomalies

Authors:

Roberta Arcoverde,

Isela Macia,

Alessandro Garcia,

Arndt von StaaAuthors Info & Claims

RSSE '12: Proceedings of the Third International Workshop on Recommendation Systems for Software Engineering

Pages 90 - 91

Published: 04 June 2012 Publication History

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Abstract

Software architecture degradation is a long-standing problem in software engineering. Previous studies have shown that certain code anomalies - or patterns of code anomalies - are likely to be harmful to architecture design, although their identification is far from trivial. This study presents a system for not only detecting architecturally-relevant code anomalies, but also helping developers to prioritize their removal by ranking them. We detect code anomaly patterns based on static analysis that also exploit architecture information.

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Hochstein, L. and Lindvall, M. Combating Architectural Degeneration: A Survey. Info. And Soft. Technology. July, 2005.

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Macia, I. et al. Are Automatically-Detected Code Anomalies Relevant to Architectural Modularity? In Proc. of 11^th AOSD 2012.

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Macia, I. et al. On the Relevance of Code Anomalies for Identifying Architecture Degradation Symptoms. In Proc. of 16^th CSMR 2012.

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Cited By

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Toosi FBuckley JSai A(2019)Source-code divergence diagnosis using constraints and cryptographyProceedings of the 13th European Conference on Software Architecture - Volume 210.1145/3344948.3344983(205-208)Online publication date: 9-Sep-2019
https://dl.acm.org/doi/10.1145/3344948.3344983
Dósea MSant'Anna Cda Silva BKhomh FRoy CSiegmund J(2018)How do design decisions affect the distribution of software metrics?Proceedings of the 26th Conference on Program Comprehension10.1145/3196321.3196337(74-85)Online publication date: 28-May-2018
https://dl.acm.org/doi/10.1145/3196321.3196337
Cedrim DGarcia AMongiovi MGheyi RSousa Lde Mello RFonseca BRibeiro MChávez ABodden ESchäfer WDeursen AZisman A(2017)Understanding the impact of refactoring on smells: a longitudinal study of 23 software projectsProceedings of the 2017 11th Joint Meeting on Foundations of Software Engineering10.1145/3106237.3106259(465-475)Online publication date: 21-Aug-2017
https://dl.acm.org/doi/10.1145/3106237.3106259
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Information & Contributors

Information

Published In

RSSE '12: Proceedings of the Third International Workshop on Recommendation Systems for Software Engineering

June 2012

101 pages

ISBN:9781467317597

Conference Chairs:
Walid Maalej
TU München, Germany
,
Martin Robillard
McGill University, Canada
,
Robert J. Walker
University of Calgary, Canada
,
Thomas Zimmermann
Microsoft Research

Publisher

IEEE Press

Publication History

Published: 04 June 2012

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Research-article

Conference

ICSE '12

Sponsor:

SIGSOFT
University of Zurich

ICSE '12: 34th International Conference on Software Engineering

June 4, 2012

Zurich, Switzerland

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Cited By

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Toosi FBuckley JSai A(2019)Source-code divergence diagnosis using constraints and cryptographyProceedings of the 13th European Conference on Software Architecture - Volume 210.1145/3344948.3344983(205-208)Online publication date: 9-Sep-2019
https://dl.acm.org/doi/10.1145/3344948.3344983
Dósea MSant'Anna Cda Silva BKhomh FRoy CSiegmund J(2018)How do design decisions affect the distribution of software metrics?Proceedings of the 26th Conference on Program Comprehension10.1145/3196321.3196337(74-85)Online publication date: 28-May-2018
https://dl.acm.org/doi/10.1145/3196321.3196337
Cedrim DGarcia AMongiovi MGheyi RSousa Lde Mello RFonseca BRibeiro MChávez ABodden ESchäfer WDeursen AZisman A(2017)Understanding the impact of refactoring on smells: a longitudinal study of 23 software projectsProceedings of the 2017 11th Joint Meeting on Foundations of Software Engineering10.1145/3106237.3106259(465-475)Online publication date: 21-Aug-2017
https://dl.acm.org/doi/10.1145/3106237.3106259
Cedrim DSousa LGarcia AGheyi R(2016)Does refactoring improve software structural quality? A longitudinal study of 25 projectsProceedings of the XXX Brazilian Symposium on Software Engineering10.1145/2973839.2973848(73-82)Online publication date: 19-Sep-2016
https://dl.acm.org/doi/10.1145/2973839.2973848
Fernandes EOliveira JVale GPaiva TFigueiredo EBeecham SKitchenham BMacDonell S(2016)A review-based comparative study of bad smell detection toolsProceedings of the 20th International Conference on Evaluation and Assessment in Software Engineering10.1145/2915970.2915984(1-12)Online publication date: 1-Jun-2016
https://dl.acm.org/doi/10.1145/2915970.2915984
Guimarães EGarcia ACai YFrance RGhosh SLeavens G(2015)Architecture-sensitive heuristics for prioritizing critical code anomaliesProceedings of the 14th International Conference on Modularity10.1145/2724525.2724567(68-80)Online publication date: 16-Mar-2015
https://dl.acm.org/doi/10.1145/2724525.2724567

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Supporting the identification of architecturally-relevant code anomalies

Detecting architecturally-relevant code anomalies: a case study of effectiveness and effort

On the Relevance of Code Anomalies for Identifying Architecture Degradation Symptoms