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Achievement: StarstruckAchievement: Arctic Code Vault Contributor

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Achievement: StarstruckAchievement: Arctic Code Vault Contributor

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tobhey/README.md

🔭 Postdoc at Karlsruhe Institute of Technology (KIT)

I am researching in the domain of Natural Language Processing (NLP) for Software Engineering (SE) with focus on traceability link recovery and requirements engineering.

In my dissertation, I developed the automated traceability link recovery approach FTLR, that is able to relate requirements to their corresponding source code entities by utilizing fine-grained word embedding-based relations. Furthermore, I’ve developed the requirements classification approach NoRBERT and integrated its results as a filter into FTLR.

Previously, I’ve done research on programming in natural language, mapping natural language instructions to their corresponding API calls.

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  1. finegrained-traceability finegrained-traceability Public

    Traceability link recovery approach utilizing fine-grained, word embedding-based relations

    Python 13 7

  2. NoRBERT NoRBERT Public

    Requirements classification approach using BERT's transfer learning capabilities

    Jupyter Notebook 22 11

  3. jplag/JPlag jplag/JPlag Public

    State-of-the-Art Source Code Plagiarism & Collusion Detection. Check for plagiarism in a set of programs.

    Java 1.9k 374

  4. ardoco/lissa ardoco/lissa Public

    LiSSA: A Framework for Generic Traceability Link Recovery

    Java 14 3

  5. ardoco/Replication-Package-ICSE25_LiSSA-Toward-Generic-Traceability-Link-Recovery-through-RAG ardoco/Replication-Package-ICSE25_LiSSA-Toward-Generic-Traceability-Link-Recovery-through-RAG Public

    Replication Package for the ICSE 2025 paper "LiSSA: Toward Generic Traceability Link Recovery through Retrieval-Augmented Generation"

    Java 7 2