Publisher DOI: 10.1145/2970276.2970338
Title: Continuous detection of design flaws in evolving object-oriented programs using incremental multi-pattern matching
Language: English
Authors: Peldszus, Sven 
Kulcsár, Géza 
Lochau, Malte 
Schulze, Sandro 
Keywords: Continuous software evolution;Design-aw detection;Objectoriented software architecture
Issue Date: 2016
Publisher: IEEE
Source: ASE 2016 - Proceedings of the 31st IEEE/ACM International Conference on Automated Software Engineering : 578-589 (2016)
Abstract (english): Design aws in object-oriented programs may seriously corrupt code quality thus increasing the risk for introducing subtle errors during software maintenance and evolution. Most recent approaches identify design aws in an ad-hoc manner, either focusing on software metrics, locally restricted code smells, or on coarse-grained architectural antipatterns. In this paper, we utilize an abstract program model capturing high-level object-oriented code entities, further augmented with qualitative and quantitative designrelated information such as coupling/cohesion. Based on this model, we propose a comprehensive methodology for specifying object-oriented design aws by means of compound rules integrating code metrics, code smells and antipatterns in a modular way. This approach allows for ef-ficient, automated design-aw detection through incremental multi-pattern matching, by facilitating systematic information reuse among multiple detection rules as well as between subsequent detection runs on continuously evolving programs. Our tool implementation comprises well-known anti-patterns for Java programs. The results of our experimental evaluation show high detection precision, scalability to real-size programs, as well as a remarkable gain in effi-ciency due to information reuse.
Conference: 31st IEEE/ACM International Conference on Automated Software Engineering, ASE 2016 
ISBN: 978-1-4503-3845-5
Institute: Softwaresysteme E-16 
Type: InProceedings (Aufsatz / Paper einer Konferenz etc.)
Funded by: Supported by the German Research Foundation (DFG) in the Priority Programme SPP 1593:Design For Future { Managed Software Evolution (LO 2198/2-1, JU 2734/2-1).
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