MLCQ
Lech Madeyski, Tomasz Lewowski
Abstract
Context Research on code smells accelerates and there are many studies that discuss them in the machine learning context. However, while data sets used by researchers vary in quality, all which we encountered share visible shortcomings---data sets are gathered from a rather small number of often outdated projects by single individuals whose professional experience is unknown.
Topics & Concepts
Computer scienceContext (archaeology)Data scienceCode (set theory)Quality (philosophy)Code smellData qualityWorld Wide WebInformation retrievalSoftware qualitySet (abstract data type)Programming languageEngineeringSoftwareEpistemologySoftware developmentHistoryPhilosophyOperations managementMetric (unit)ArchaeologySoftware Engineering ResearchAdvanced Malware Detection TechniquesSoftware Engineering Techniques and Practices