:: Library Catalog

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Xehetasun bibliografikoak
Egile Nagusiak:	Jahan, Sigma, Shah, Mehil B., Rahman, Mohammad Masudur
Formatua:	Preprint
Argitaratua:	2024
Gaiak:	Software Engineering
Sarrera elektronikoa:	https://arxiv.org/abs/2402.01021
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!

Antzeko izenburuak

Improved Detection and Diagnosis of Faults in Deep Neural Networks Using Hierarchical and Explainable Classification
nork: Jahan, Sigma, et al.
Argitaratua: (2025)

Towards Understanding the Impact of Data Bugs on Deep Learning Models in Software Engineering
nork: Shah, Mehil B, et al.
Argitaratua: (2024)

Towards Enhancing the Reproducibility of Deep Learning Bugs: An Empirical Study
nork: Shah, Mehil B., et al.
Argitaratua: (2024)

Imitation Game: Reproducing Deep Learning Bugs Leveraging an Intelligent Agent
nork: Shah, Mehil B, et al.
Argitaratua: (2025)

Can Hessian-Based Insights Support Fault Diagnosis in Attention-based Models?
nork: Jahan, Sigma, et al.
Argitaratua: (2025)

Be a Partner, not a Bystander in Software Engineering Practice: Bridging the Gaps between Academia and Industry
nork: Rahman, Mohammad Masudur, et al.
Argitaratua: (2026)

Why Attention Fails: A Taxonomy of Faults in Attention-Based Neural Networks
nork: Jahan, Sigma, et al.
Argitaratua: (2025)

Characterizing Faults in Agentic AI: A Taxonomy of Types, Symptoms, and Root Causes
nork: Shah, Mehil B, et al.
Argitaratua: (2026)

Understanding the Impact of Domain Term Explanation on Duplicate Bug Report Detection
nork: Mukherjee, Usmi, et al.
Argitaratua: (2025)

Improving IR-based Bug Localization with Semantics-Driven Query Reduction
nork: Samir, Asif Mohammed, et al.
Argitaratua: (2025)

BugMentor: Generating Answers to Follow-up Questions from Software Bug Reports using Structured Information Retrieval and Neural Text Generation
nork: Mukherjee, Usmi, et al.
Argitaratua: (2023)

DEFault++: Automated Fault Detection, Categorization, and Diagnosis for Transformer Architectures
nork: Jahan, Sigma, et al.
Argitaratua: (2026)

Explaining Software Bugs Leveraging Code Structures in Neural Machine Translation
nork: Mahbub, Parvez, et al.
Argitaratua: (2022)

Improved Bug Localization with AI Agents Leveraging Hypothesis and Dynamic Cognition
nork: Samir, Asif Mohammed, et al.
Argitaratua: (2026)

Improved IR-based Bug Localization with Intelligent Relevance Feedback
nork: Samir, Asif Mohammed, et al.
Argitaratua: (2025)

Toward Understanding Deep Learning Framework Bugs
nork: Chen, Junjie, et al.
Argitaratua: (2022)

Leveraging Data Characteristics for Bug Localization in Deep Learning Programs
nork: Manke, Ruchira, et al.
Argitaratua: (2024)

Can We Identify Stack Overflow Questions Requiring Code Snippets? Investigating the Cause & Effect of Missing Code Snippets
nork: Mondal, Saikat, et al.
Argitaratua: (2024)

On the Prevalence, Evolution, and Impact of Code Smells in Simulation Modelling Software
nork: Mahbub, Riasat, et al.
Argitaratua: (2024)

Toward Understanding Bugs in Vector Database Management Systems
nork: Xie, Yinglin, et al.
Argitaratua: (2025)

Toward an Understanding of Developer Behaviour while Using Bug Localization Tools
nork: Pedreira, Pablo Diaz, et al.
Argitaratua: (2026)

Deep Learning Based Concurrency Bug Detection and Localization
nork: Feng, Zuocheng, et al.
Argitaratua: (2025)

Towards Understanding the Bugs in Solidity Compiler
nork: Ma, Haoyang, et al.
Argitaratua: (2024)

Do Internal Software Metrics Have Relationship with Fault-proneness and Change-proneness?
nork: Rahman, Md. Masudur, et al.
Argitaratua: (2023)

Checker Bug Detection and Repair in Deep Learning Libraries
nork: Harzevili, Nima Shiri, et al.
Argitaratua: (2024)

An Exploratory Study of Bug-Introducing Changes: Exploring Relationships in Bug-Introducing Changes Towards Causal Understanding
nork: Schulte, Lukas, et al.
Argitaratua: (2023)

Bug Whispering: Towards Audio Bug Reporting
nork: Masserini, Elena, et al.
Argitaratua: (2025)

How is Testing Related to Single Statement Bugs?
nork: Rahman, Habibur, et al.
Argitaratua: (2024)

A Comprehensive Study of Bugs in Modern Distributed Deep Learning Systems
nork: Ma, Xiaoxue, et al.
Argitaratua: (2025)

When Deep Learning Meets Information Retrieval-based Bug Localization: A Survey
nork: Niu, Feifei, et al.
Argitaratua: (2025)

Towards Understanding Bugs in Distributed Training and Inference Frameworks for Large Language Models
nork: Yu, Xiao, et al.
Argitaratua: (2025)

A Deep Dive into Large Language Models for Automated Bug Localization and Repair
nork: Hossain, Soneya Binta, et al.
Argitaratua: (2024)

LLM-Powered Silent Bug Fuzzing in Deep Learning Libraries via Versatile and Controlled Bug Transfer
nork: Zhang, Kunpeng, et al.
Argitaratua: (2026)

RLocator: Reinforcement Learning for Bug Localization
nork: Chakraborty, Partha, et al.
Argitaratua: (2023)

Toward the Automated Localization of Buggy Mobile App UIs from Bug Descriptions
nork: Saha, Antu, et al.
Argitaratua: (2024)

Challenging Bug Prediction and Repair Models with Synthetic Bugs
nork: Ibrahimzada, Ali Reza, et al.
Argitaratua: (2023)

Understanding Typing-Related Bugs in Solidity Compiler
nork: Li, Lantian, et al.
Argitaratua: (2025)

Understanding and Finding JIT Compiler Performance Bugs
nork: Yi, Zijian, et al.
Argitaratua: (2026)

BugScope: Learn to Find Bugs Like Human
nork: Guo, Jinyao, et al.
Argitaratua: (2025)

LadyBug: A GitHub Bot for UI-Enhanced Bug Localization in Mobile Apps
nork: Mahmud, Junayed, et al.
Argitaratua: (2025)