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From the 1 of 7 linked papers with an AI index.

collaborators

7 papers

cs.SE2026

How Well Do LLMs Generate Taxonomies in the SE Domain? A Multi-perspective Evaluation Framework

Sota Nakashima, Yuta Ishimoto, Masanari Kondo +2

Taxonomies provide a shared conceptual framework for organizing heterogeneous observations in software engineering (SE) research. Manually constructing such taxonomies is labor-int…

cs.SE2026

RepTran: Search-Based Repair of Transformer Models

Yuta Ishimoto, Paolo Arcaini, Fuyuki Ishikawa +3

The paper introduces RepTran, a search‑based method that repairs Transformer models by identifying and optimizing suspicious feed‑forward network weights using variance‑based and b…

cs.SE2026

On the Reproducibility of Quantum Software Defect Datasets: A Case Study of Bugs4Q

Haruto Ohto, Yuta Ishimoto, Shinsuke Matsumoto +1

The reproducibility of software defect datasets is essential for obtaining reliable and comparable research results. Zhu et al. have shown that defect datasets such as Defects4J su…

cs.SE2026

Why Agentic-PRs Get Rejected: A Comparative Study of Coding Agents

Sota Nakashima, Yuta Ishimoto, Masanari Kondo +2

Agentic coding -- software development workflows in which autonomous coding agents plan, implement, and submit code changes with minimal human involvement -- is rapidly gaining tra…

cs.SE2026

Leveraging Mutation Analysis for LLM-based Repair of Quantum Programs

Chihiro Yoshida, Yuta Ishimoto, Olivier Nourry +4

In recent years, Automated Program Repair (APR) techniques specifically designed for quantum programs have been proposed. However, existing approaches often suffer from low repair…

cs.SE2025

How Far Have LLMs Come Toward Automated SATD Taxonomy Construction?

Sota Nakashima, Yuta Ishimoto, Masanari Kondo +2

Technical debt refers to suboptimal code that degrades software quality. When developers intentionally introduce such debt, it is called self-admitted technical debt (SATD). Since…