Metrics based refactoring
By Frank Simon, Frank Steinbrückner, Claus Lewerentz. Proceedings Fifth European Conference on Software Maintenance and Reengineering, 2001
400 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Information Systems
View Paper: https://www.semanticscholar.org/paper/54de2d4abafe06f07f3eb0593924f1447cf45f2e
How researchers see this paper
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In Computer Networks and Communications
In Information Systems
- Massimiliano Di Penta
- Nikolaos Tsantalis
- Foutse Khomh
- Laurence Duchien
- Yann-Gaël Guéhéneuc
- Tom Mens
- Naouel Moha
- Anne-Françoise Le Meur
Citations in the corpus
- An Exploratory Study of the Impact of Code Smells on Software Change-proneness (2009, methodology): “Rules may also be defined using fuzzy logic and executed by means of a rule-inference engine [1] or using visualisation techniques [9, 27].”
- Identification of Move Method Refactoring Opportunities (2009, background): “Maintain the consistency between the refactored code and other software artifacts (such as documentation, design documents, tests, etc.).”
- When and Why Your Code Starts to Smell Bad (and Whether the Smells Go Away) (2017, neutral): “[71] provided a metric-based visualization tool able to discover design defects representing refactoring opportunities.”
- DECOR: A Method for the Specification and Detection of Code and Design Smells (2010, methodology): “Some approaches for complex software analysis use visualization techniques [20], [21].”
- A survey of software refactoring (2004, methodology): “Simon et al. use object-oriented metrics to identify bad smells and propose adequate refactorings [20].”