Metrics As Scores Dataset: Metrics and Domains From the Qualitas.class corpus

This dataset was created by extracting software metrics data from the Qualitas.class corpus (Terra et al. 2013; Tempero et al. 2010). Therefore, the principal quantity type is Metric, and the context is given by a system’s Domain (e.g., "Game", "Middleware", etc.). Some metrics were obtained on program-level, while others are package- or method-level metrics. Most of the metrics in the corpus are of discrete/integral nature. The corpus holds 23 types of pre-computed software metrics for a total of 111 systems which are spread across eleven different domains. This dataset has the following discrete Quantity Types (Metrics): CA: Afferent Coupling CE: Efferent Coupling DIT: Depth of Inheritance Tree MLOC: Method Lines of Code NBD: Nested Block Depth NOC: Number of Classes NOF: Number of Attributes NOI: Number of Interfaces NOM: Number of Methods NOP: Number of Packages NORM: Number of Overridden Methods NSC: Number of Children NSF: Number of Static Attributes NSM: Number of Static Methods PAR: Number of Parameters TLOC: Total Lines of Code VG: McCabe Cyclomatic Complexity WMC: Weighted Methods per Class The following Metrics are continuous: LCOM: Lack of Cohesion in Methods RMA: Abstractness RMD: Normalized Distance RMI: Instability SIX: Specialization Index It has a total of 11 Contexts (Domains): 3D; Graphics; Media, Databases, Diagrams; Visualiz., Games, IDE, Middleware, Parsers; Generators, Progr. Language, SDK, Testing, and Tool