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Published, Version of Record (VoR)Open Access (License Unspecified), Open
Conference proceeding
Prioritization of Code Anomalies based on Architecture Sensitiveness
2013 27TH BRAZILIAN SYMPOSIUM ON SOFTWARE ENGINEERING (SBES 2013), pp 69-78
01 Jan 2013
Abstract
Code anomalies are symptoms of software maintainability problems, particularly harmful when contributing to architectural degradation. Despite the existence of many automated techniques for code anomaly detection, identifying the code anomalies that are more likely to cause architecture problems remains a challenging task. Even when there is tool support for detecting code anomalies, developers often invest a considerable amount of time refactoring those that are not related to architectural problems. In this paper we present and evaluate four different heuristics for helping developers to prioritize code anomalies, based on their potential contribution to the software architecture degradation. Those heuristics exploit different characteristics of a software project, such as change-density and error-density, for automatically ranking code elements that should be refactored more promptly according to their potential architectural relevance. Our evaluation revealed that software maintainers could benefit from the recommended rankings for identifying which code anomalies are harming architecture the most, helping them to invest their refactoring efforts into solving architecturally relevant problems.
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Details
- Title
- Prioritization of Code Anomalies based on Architecture Sensitiveness
- Creators
- Roberta Arcoverde - Pontifical Catholic University of Rio de JaneiroEverton Guimaraes - Pontifical Catholic University of Rio de JaneiroIsela Macia - Pontifical Catholic University of Rio de JaneiroAlessandro Garcia - Pontifical Catholic University of Rio de JaneiroYuanfang Cai - Drexel UniversityIEEE
- Publication Details
- 2013 27TH BRAZILIAN SYMPOSIUM ON SOFTWARE ENGINEERING (SBES 2013), pp 69-78
- Publisher
- IEEE
- Number of pages
- 10
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Computer Science
- Web of Science ID
- WOS:000355086300011
- Scopus ID
- 2-s2.0-84900324982
- Other Identifier
- 991019167467204721
InCites Highlights
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Computer Science, Software Engineering