Saved in:
| Main Authors: | Acharya, Jagrit, Ginde, Gouri |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2504.18806 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Can We Enhance Bug Report Quality Using LLMs?: An Empirical Study of LLM-Based Bug Report Generation
by: Acharya, Jagrit, et al.
Published: (2025)
by: Acharya, Jagrit, et al.
Published: (2025)
AROhI: An Interactive Tool for Estimating ROI of Data Analytics
by: Zambare, Noopur, et al.
Published: (2024)
by: Zambare, Noopur, et al.
Published: (2024)
Empirical Analysis and Detection of Hallucinations in LLM-Generated Bug Report Summaries
by: Nirujan, Hinduja, et al.
Published: (2026)
by: Nirujan, Hinduja, et al.
Published: (2026)
"So what if I used GenAI?" -- Implications of Using Cloud-based GenAI in Software Engineering Research
by: Ginde, Gouri
Published: (2024)
by: Ginde, Gouri
Published: (2024)
Exploring Ethical Concerns of Mobile Applications from App Reviews: A Literature Survey
by: Sorathiya, Aakash, et al.
Published: (2026)
by: Sorathiya, Aakash, et al.
Published: (2026)
SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps
by: Sorathiya, Aakash, et al.
Published: (2025)
by: Sorathiya, Aakash, et al.
Published: (2025)
Towards Extracting Ethical Concerns-related Software Requirements from App Reviews
by: Sorathiya, Aakash, et al.
Published: (2024)
by: Sorathiya, Aakash, et al.
Published: (2024)
CMER: A Context-Aware Approach for Mining Ethical Concern-related App Reviews
by: Sorathiya, Aakash, et al.
Published: (2025)
by: Sorathiya, Aakash, et al.
Published: (2025)
Towards Extracting Software Requirements from App Reviews using Seq2seq Framework
by: Sorathiya, Aakash, et al.
Published: (2025)
by: Sorathiya, Aakash, et al.
Published: (2025)
Ethical software requirements from user reviews: A systematic literature review
by: Sorathiya, Aakash, et al.
Published: (2024)
by: Sorathiya, Aakash, et al.
Published: (2024)
Beyond Keywords: A Context-based Hybrid Approach to Mining Ethical Concern-related App Reviews
by: Sorathiya, Aakash, et al.
Published: (2024)
by: Sorathiya, Aakash, et al.
Published: (2024)
Bug Whispering: Towards Audio Bug Reporting
by: Masserini, Elena, et al.
Published: (2025)
by: Masserini, Elena, et al.
Published: (2025)
HaPy-Bug -- Human Annotated Python Bug Resolution Dataset
by: Przymus, Piotr, et al.
Published: (2025)
by: Przymus, Piotr, et al.
Published: (2025)
From Bugs to Benchmarks: A Comprehensive Survey of Software Defect Datasets
by: Zhu, Hao-Nan, et al.
Published: (2025)
by: Zhu, Hao-Nan, et al.
Published: (2025)
SysPro: Reproducing System-level Concurrency Bugs from Bug Reports
by: Zaman, Tarannum Shaila, et al.
Published: (2026)
by: Zaman, Tarannum Shaila, et al.
Published: (2026)
Towards Energy-aware Requirements Dependency Classification: Knowledge-Graph vs. Vector-Retrieval Augmented Inference with SLMs
by: Patil, Shreyas, et al.
Published: (2026)
by: Patil, Shreyas, et al.
Published: (2026)
Investigating the Impact of Code Comment Inconsistency on Bug Introducing
by: Radmanesh, Shiva, et al.
Published: (2024)
by: Radmanesh, Shiva, et al.
Published: (2024)
GitBugs: Bug Reports for Duplicate Detection, Retrieval Augmented Generation, Triage, and More
by: Patil, Avinash, et al.
Published: (2025)
by: Patil, Avinash, et al.
Published: (2025)
BeyondSWE: Can Current Code Agent Survive Beyond Single-Repo Bug Fixing?
by: Chen, Guoxin, et al.
Published: (2026)
by: Chen, Guoxin, et al.
Published: (2026)
Automated Duplicate Bug Report Detection in Large Open Bug Repositories
by: Laney, Clare E., et al.
Published: (2025)
by: Laney, Clare E., et al.
Published: (2025)
BugScope: Learn to Find Bugs Like Human
by: Guo, Jinyao, et al.
Published: (2025)
by: Guo, Jinyao, et al.
Published: (2025)
What Software Engineering Looks Like to AI Agents? -- An Empirical Study of AI-Only Technical Discourse on MoltBook
by: Huo, Junyu, et al.
Published: (2026)
by: Huo, Junyu, et al.
Published: (2026)
GitBug-Java: A Reproducible Benchmark of Recent Java Bugs
by: Silva, André, et al.
Published: (2024)
by: Silva, André, et al.
Published: (2024)
InEx-Bug: A Human Annotated Dataset of Intrinsic and Extrinsic Bugs in the NPM Ecosystem
by: Wright, Tanner, et al.
Published: (2026)
by: Wright, Tanner, et al.
Published: (2026)
BugMentor: Generating Answers to Follow-up Questions from Software Bug Reports using Structured Information Retrieval and Neural Text Generation
by: Mukherjee, Usmi, et al.
Published: (2023)
by: Mukherjee, Usmi, et al.
Published: (2023)
HotBugs.jar: A Benchmark of Hot Fixes for Time-Critical Bugs
by: Hanna, Carol, et al.
Published: (2025)
by: Hanna, Carol, et al.
Published: (2025)
Bogus Bugs, Duplicates, and Revealing Comments: Data Quality Issues in NPR
by: Prenner, Julian Aron, et al.
Published: (2025)
by: Prenner, Julian Aron, et al.
Published: (2025)
PyResBugs: A Dataset of Residual Python Bugs for Natural Language-Driven Fault Injection
by: Cotroneo, Domenico, et al.
Published: (2025)
by: Cotroneo, Domenico, et al.
Published: (2025)
Anticipating Bugs: Ticket-Level Bug Prediction and Temporal Proximity Effects
by: La Prova, Daniele, et al.
Published: (2025)
by: La Prova, Daniele, et al.
Published: (2025)
Characterizing Real-World Bugs in Tile Programs for Automated Bug Detection
by: Rathnasuriya, Ravishka, et al.
Published: (2026)
by: Rathnasuriya, Ravishka, et al.
Published: (2026)
Challenging Bug Prediction and Repair Models with Synthetic Bugs
by: Ibrahimzada, Ali Reza, et al.
Published: (2023)
by: Ibrahimzada, Ali Reza, et al.
Published: (2023)
Bug Analysis Towards Bug Resolution Time Prediction
by: Ozkan, Hasan Yagiz, et al.
Published: (2024)
by: Ozkan, Hasan Yagiz, et al.
Published: (2024)
BugRepro: Enhancing Android Bug Reproduction with Domain-Specific Knowledge Integration
by: Yin, Hongrong, et al.
Published: (2025)
by: Yin, Hongrong, et al.
Published: (2025)
BugForge: Constructing and Utilizing DBMS Bug Repository to Enhance DBMS Testing
by: Li, Dawei, et al.
Published: (2026)
by: Li, Dawei, et al.
Published: (2026)
A Comprehensive Study of Bugs in Modern Distributed Deep Learning Systems
by: Ma, Xiaoxue, et al.
Published: (2025)
by: Ma, Xiaoxue, et al.
Published: (2025)
An Empirical Study on the Capability of LLMs in Decomposing Bug Reports
by: Chen, Zhiyuan, et al.
Published: (2025)
by: Chen, Zhiyuan, et al.
Published: (2025)
ImageR: Enhancing Bug Report Clarity by Screenshots
by: Tan, Xuchen, et al.
Published: (2025)
by: Tan, Xuchen, et al.
Published: (2025)
An Empirical Study on the Classification of Bug Reports with Machine Learning
by: Andrade, Renato, et al.
Published: (2025)
by: Andrade, Renato, et al.
Published: (2025)
Identifying Concurrency Bug Reports via Linguistic Patterns
by: Shao, Shuai, et al.
Published: (2026)
by: Shao, Shuai, et al.
Published: (2026)
Duplicate Bug Report Detection: How Far Are We?
by: Zhang, Ting, et al.
Published: (2022)
by: Zhang, Ting, et al.
Published: (2022)
Similar Items
-
Can We Enhance Bug Report Quality Using LLMs?: An Empirical Study of LLM-Based Bug Report Generation
by: Acharya, Jagrit, et al.
Published: (2025) -
AROhI: An Interactive Tool for Estimating ROI of Data Analytics
by: Zambare, Noopur, et al.
Published: (2024) -
Empirical Analysis and Detection of Hallucinations in LLM-Generated Bug Report Summaries
by: Nirujan, Hinduja, et al.
Published: (2026) -
"So what if I used GenAI?" -- Implications of Using Cloud-based GenAI in Software Engineering Research
by: Ginde, Gouri
Published: (2024) -
Exploring Ethical Concerns of Mobile Applications from App Reviews: A Literature Survey
by: Sorathiya, Aakash, et al.
Published: (2026)