Datasets › A Software Maintainability Dataset
A Software Maintainability Dataset
This dataset contains 304 manual evaluations of class-level software maintainability, drawn from 5 open-source projects: ArgoUML, Art of Illusion, Diary Management, JUnit 4, JSweet. Each Java class is labelled along 5 axis: readability, understandability, complexity, modularity and overall maintainability. Each Java class was assessed by several experts independently of its relation to other classes.
It can be used to develop and evaluate automated quality prediction tools.
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
Modalities archive 2025-07-28
No modality tagged.
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- A Software Maintainability Dataset
1 variant name, as the archive lists them.
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