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Including structural factors into the metrics-based code smells detection
- Publication Year :
- 2015
-
Abstract
- Code smells help to discover and describe deeper problems in software design. Several automated methods of smell detection are based the analysis of a combination of code-related metrics relevant for a given flaw. However, some smells reflect more complex issues and require a holistic perspective that woudl cover a number of different sources of data. In this paper we experimentally verify the usefulness of including structural factors into a metrics-based detection of God Class and Brain Class code smells.
Details
- Database :
- OAIster
- Notes :
- STAMPA, English
- Publication Type :
- Electronic Resource
- Accession number :
- edsoai.on1311392741
- Document Type :
- Electronic Resource