activity
20242026
collaborators

6 papers

cs.SE2026

Read, Extract, Classify: A Tool for Smarter Requirements Engineering

Paheli Bhattacharya, Manojit Chakraborty, Santhosh Kumar Arumugam +1

This paper presents the ReXCL tool, which automates the extraction and classification processes in requirements engineering, enhancing the software development life-cycle. The tool…

cs.SE2026

An Evaluation of Context Length Extrapolation in Long Code via Positional Embeddings and Efficient Attention

Madhusudan Ghosh, Rishabh Gupta

The rapid advancement of large language models (LLMs) has led to a significant increase in automated tools in the software engineering, capable of performing various code-related t…

cs.SE2025

Cross-Task Benchmarking and Evaluation of General-Purpose and Code-Specific Large Language Models

Gunjan Das, Paheli Bhattacharya, Rishabh Gupta

Large Language Models (LLMs) have revolutionized both general natural language processing and domain-specific applications such as code synthesis, legal reasoning, and finance. How…

cs.SE2025

LLM Based Long Code Translation using Identifier Replacement

Manojit Chakraborty, Madhusudan Ghosh, Rishabh Gupta

In the domain of software development, LLMs have been utilized to automate tasks such as code translation, where source code from one programming language is translated to another…

cs.SE2025

ReXCL: A Tool for Requirement Document Extraction and Classification

Paheli Bhattacharya, Manojit Chakraborty, Santhosh Kumar Arumugam +1

This paper presents the ReXCL tool, which automates the extraction and classification processes in requirement engineering, enhancing the software development lifecycle. The tool f…

cs.SE2024

Selective Shot Learning for Code Explanation

Paheli Bhattacharya, Rishabh Gupta

Code explanation plays a crucial role in the software engineering domain, aiding developers in grasping code functionality efficiently. Recent work shows that the performance of LL…