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Know-Center GmbH, KC1 Software defect prediction
KC1 Software defect prediction
Creative Commons CCZero (CC0-1.0), Open Data Commons Public Domain Dedication and Licence (PDDL-1.0)
Science and Technology
ARFF, CSV, JSON, RDF, XLS / XLSX
PERSONAL DATA PROTECTION
No personal data
* Please note that the classification is taken from the original source
One of the NASA Metrics Data Program defect data sets. Data from software for storage management for receiving and processing ground data. Data comes from McCabe and Halstead features extractors of source code. These features were defined in the 70s in an attempt to objectively characterize code features that are associated with software quality.
Disclaimer: This data is provided by a third party. The DIH identifying this data has no responsibility for its content. Please check the provided link to the data for license terms and potential usage restrictions. In case personal data is included in the dataset, the third party who provides the dataset is the data controller of such personal data. Please note that if you use the datasets for your own purposes, you become an independent data controller and are solely responsible for your compliance with relevant data protection laws relating to the processing and security of personal data, with particular reference, but not limited to, the provisions of the General Data Protection Regulation (GDPR), as applicable to the personal data included in the data.
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