Peldszus, SvenKulcsár, GézaLochau, MalteSchulze, SandroTichy, MatthiasBodden, EricKuhrmann, MarcoWagner, StefanSteghöfer, Jan-Philipp2019-03-292019-03-292018978-3-88579-673-2https://dl.gi.de/handle/20.500.12116/21126This work has been initially presented at the International Conference on Automated Software Engineering (ASE) 2016. Design flaws 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 flaws in an ad-hoc manner, either focusing on software metrics, locally restricted code smells, or on coarse-grained architectural anti-patterns. In this work, we utilize an abstract program model capturing high-level object-oriented code entities, further augmented with qualitative and quantitative design-related information such as coupling/cohesion. Based on this model, we propose a comprehensive methodology for specifying object-oriented design flaws by means of compound rules integrating code metrics, code smells and anti-patterns in a modular way. This approach allows for efficient, automated design-flaw 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 efficiency due to information reuse.endesign-flaw detectioncontinuous software evolutionobject-oriented software architectureText/Conference Paper1617-5468