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.