--- license: mit datasets: - code_search_net language: - en - code library_name: TraceBERT --- # Model Information This model is a Java-only version of the [CodeBERT-model](https://huggingface.co/microsoft/codebert-base), trained using the [TraceBERT library](https://github.com/jinfenglin/TraceBERT). We initialized the model with the original CodeBERT-base and then again trained only on the Java part of the dataset. The model was used for predicting trace links between software architecture documentation and Java source code on [traceability link recovery benchmarks](https://github.com/ArDoCo/Benchmark). ### Training Data The original CodeBERT-base model is again trained on the Java-based bi-modal data (documents & code) of [CodeSearchNet](https://huggingface.co/datasets/code_search_net). ### Usages For TLR usage scenarios please take a look at our [replication package](https://github.com/ArDoCo/Replication-Package-ICSE24_Recovering-Trace-Links-Between-Software-Documentation-And-Code). ### Reference 1. [CodeBERT-base model](https://huggingface.co/microsoft/codebert-base) 2. [TraceBERT library](https://github.com/jinfenglin/TraceBERT) 3. [Replication Package](https://github.com/ArDoCo/Replication-Package-ICSE24_Recovering-Trace-Links-Between-Software-Documentation-And-Code) ### Citation ```bibtex @inproceedings{keim_recovering_2024, author = {Keim, Jan and Corallo, Sophie and Fuchß, Dominik and Hey, Tobias and Telge, Tobias and Koziolek, Anne}, year = {2024}, title = {Recovering Trace Links Between Software Documentation And Code}, eventtitle = {46th International Conference on Software Engineering}, eventtitleaddon = {ICSE 2024}, eventdate = {2024-04-14/2024-04-20}, venue = {Lissabon, Portugal}, booktitle = {Proceedings of 46th International Conference on Software Engineering (ICSE 2024)}, isbn = {979-8-4007-0217-4}, doi = {10.1145/3597503.3639130}, keywords = {software traceability, software architecture, documentation, transitive links, intermediate artifacts, information retrieval}, language = {english} } ```