A Software Maintainability Dataset

This dataset contains 304 manual evaluations of class-level software maintainability. It can be used to develop and evaluate automated quality prediction tools.This archive was created along the work described in detail inM. Schnappinger, A. Fietzke, and A. Pretschner, "Defining a Software Maintainability Dataset: Collecting, Aggregating and Analysing Expert Evaluations of Software Maintainability", International Conference on Software Maintenance and Evolution (ICSME), 2020If you use this dataset in your research, please cite both this dataset and the corresponding paper. This archive containsA readme with all relevant information aboutStudy objectsLabel definitionThreats to validityHints for using the datasetList of metrics used to prioritize the samplesThe code of the study objectsA .csv file containing the readability, understandability, complexity, adequate size, and overall maintainability labelsThe original publicationFigshare uses a strict character limit for this description. Please refer to the `Readme.md` for further information.