CS&SE@SW 2025 quantitative review 8th is a M.Tech project topic for Computer Science & Engineering. It gives students a clear starting point for research, implementation planning, and documentation.
CS&SE@SW 2025 quantitative review 8th Project Details
| Abstract |
The project gives research guidance and hands‑on support for doing a quantitative, repeatable bibliometric and topic review of scientific papers, using the CS&SE@SW 2025 workshop proceedings as a model. It relies on a programmatic measurement framework: all metrics are produced by automated scripts that run on deposited open‑access data. To map the topics in a focused document collection, the system uses a controlled vocabulary of 53 concepts and a bootstrap‑audited Ward partition of high‑dimensional document embeddings. The resulting clusters are then compared with independent expert groupings for validation. The framework also adds multi‑vendor large language model (LLM) agents that automatically code concepts and facets, and it measures inter‑annotator agreement across
five different model architectures. By fixing the problems of traditional keyword‑based linking in sparse corpora, the project provides clear steps for assessing academic proceedings, building a reliable pipeline for document‑embedding analysis, semantic clustering, and LLM‑driven content classification. This setup works as an advanced template for M.Tech students studying natural‑language‑processing applications in software‑engineering literature.
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| Reference Paper |
CS&SE@SW 2025: a quantitative review of the 8th Workshop for Young Scientists in Computer Science & Software Engineering |
| Domain |
Computer Science & Engineering |
| Sub-Domain |
Software Engineering |
| PDF Download |
Download / View PDF |
| Get Help |
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