Datasets:
Populating the dataset card with description and citation.
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README.md
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---
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configs:
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- config_name: artifact_df
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data_files:
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- config_name: trace_df
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data_files:
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- config_name: layer_df
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data_files:
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- config_name: train
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data_files:
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---
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configs:
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- config_name: artifact_df
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data_files: artifact_df.csv
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- config_name: trace_df
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data_files: trace_df.csv
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- config_name: layer_df
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data_files: layer_df.csv
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- config_name: train
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data_files: train.csv
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license: mit
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language:
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- en
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pretty_name: Event Based Traceability
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---
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# Overview
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The following dataset contains the software artifacts used to evaluate the accuracy of traceability algorithms. It contains requirements, test cases, and source code with links established between requirements to code and requirements to test cases.
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[Source Files](http://sarec.nd.edu/coest/datasets.html)
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# Format
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The following files contains three datasets:
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- artifacts: Contains all software artifacts including their ID and content.
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- traces: Contains list of positive trace links established in the project.
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- matrices: Details the artifacts types containing traces (e.g. requirements -> test cases)
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- train: Contains a dataset ready for training with each row containing source and target artifact content alongside the label between the artifacts.
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### Citation Information
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```
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@ARTICLE{1232285,
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author={Cleland-Huang, J. and Chang, C.K. and Christensen, M.},
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journal={IEEE Transactions on Software Engineering},
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title={Event-based traceability for managing evolutionary change},
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year={2003},
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volume={29},
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number={9},
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pages={796-810},
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keywords={Software maintenance;Software systems;Maintenance engineering;Control systems;Computer science;Computer Society;Project management;Software testing;System testing;Software engineering},
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doi={10.1109/TSE.2003.1232285}}
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```
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