Detection strategies: metrics-based rules for detecting design flaws

By Radu Marinescu. 20th IEEE International Conference on Software Maintenance, 2004. Proceedings., 2004

640 citations recorded by the source corpus.

How researchers see this paper

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DECOR: A Method for the Specification and Detection of Code and Design Smells (2010, methodology): “Marinescu [17] presented a metric-based approach to detect code smells with detection strategies, implemented in the I P LASMA tool.”
When and Why Your Code Starts to Smell Bad (and Whether the Smells Go Away) (2017, positive): “Marinescu [50] proposed a metric-based mechanism to capture deviations from good design principles and heuristics, called “detection strategies”.”
On the diffuseness and the impact on maintainability of code smells: a large scale empirical investigation (2017, methodology): “Such tools exploitdifferenttypesofapproaches, including metrics-based detection (Lanza and Marinescu 2010; Moha et al. 2010; Marinescu 2004; Munro 2005), graph-based techniques (Tsantalis and Chatzigeorgiou 2009), mining of code changes (Palomba et al. 2015a), textual analysis of source code…”
An Exploratory Study of the Impact of Code Smells on Software Change-proneness (2009, background): “They are usually revealed through particular metric values [4].”
An Empirical Study of the Impact of Two Antipatterns, Blob and Spaghetti Code, on Program Comprehension (2011, methodology): “This questionnaire uses Likert scales for each of the mitigating variables and also include open questions about antipatterns, refactorings, and so on.”