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When code smells twice as much: Metric-based detection of variability-aware code smells
2015
2015 IEEE 15th International Working Conference on Source Code Analysis and Manipulation (SCAM)
Code smells are established, widely used characterizations of shortcomings in design and implementation of software systems. As such, they have been subject to intensive research regarding their detection and impact on understandability and changeability of source code. However, current methods do not support highly configurable software systems, that is, systems that can be customized to fit a wide range of requirements or platforms. Such systems commonly owe their configurability to
doi:10.1109/scam.2015.7335413
dblp:conf/scam/FenskeSMS15
fatcat:xm3cb6x2svhwxc3lyns7luq3wq