Copertina

SPRINT: An Assistant for Issue Report Management

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Adnan, Ahmed, Saha, Antu, Chaparro, Oscar
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Software Engineering
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Decoding the Issue Resolution Process in Practice via Issue Report Analysis: A Case Study of Firefox
di: Saha, Antu, et al.
Pubblicazione: (2025)

Evaluating Language Model Applications for Identifying Solution-Related Content in Issue Report Discussions
di: Saha, Antu, et al.
Pubblicazione: (2025)

Studying and Automating Issue Resolution for Software Quality
di: Saha, Antu
Pubblicazione: (2025)

Automated Generation of High-Quality Bug Reports for Android Applications
di: Saha, Antu, et al.
Pubblicazione: (2026)

Fine-grained Multi-Document Extraction and Generation of Code Change Rationale
di: Sun, Mehedi, et al.
Pubblicazione: (2026)

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

Combining Language and App UI Analysis for the Automated Assessment of Bug Reproduction Steps
di: Mahmud, Junayed, et al.
Pubblicazione: (2025)

When Quantum Meets Classical: Characterizing Hybrid Quantum-Classical Issues Discussed in Developer Forums
di: Zappin, Jake, et al.
Pubblicazione: (2024)

"The Law Doesn't Work Like a Computer": Exploring Software Licensing Issues Faced by Legal Practitioners
di: Wintersgill, Nathan, et al.
Pubblicazione: (2024)

Relative Code Comprehensibility Prediction
di: De Silva, Nadeeshan, et al.
Pubblicazione: (2025)

Verifier Warnings Do Not Improve Comprehensibility Prediction
di: De Silva, Nadeeshan, et al.
Pubblicazione: (2026)

Challenges and Practices in Quantum Software Testing and Debugging: Insights from Practitioners
di: Zappin, Jake, et al.
Pubblicazione: (2025)

Bridging the Quantum Divide: Aligning Academic and Industry Goals in Software Engineering
di: Zappin, Jake, et al.
Pubblicazione: (2025)

Semantic GUI Scene Learning and Video Alignment for Detecting Duplicate Video-based Bug Reports
di: Yan, Yanfu, et al.
Pubblicazione: (2024)

On the Reliability of Code Comprehension Proxies
di: Arvan, Erfan, et al.
Pubblicazione: (2026)

Does Co-Development with AI Assistants Lead to More Maintainable Code? A Registered Report
di: Borg, Markus, et al.
Pubblicazione: (2024)

Prompting in Practice: Investigating Software Practitioners' Use of Generative AI Tools
di: Otten, Daniel, et al.
Pubblicazione: (2025)

CLARA: A Developer's Companion for Code Comprehension and Analysis
di: Adnan, Ahmed, et al.
Pubblicazione: (2025)

Resource-Efficient & Effective Code Summarization
di: Afrin, Saima, et al.
Pubblicazione: (2025)

Secret Leak Detection in Software Issue Reports using LLMs: A Comprehensive Evaluation
di: Ahmed, Sadif, et al.
Pubblicazione: (2024)

Bita: A Conversational Assistant for Fairness Testing
di: Johnson, Keeryn, et al.
Pubblicazione: (2025)

Personalizing LLM-Based Conversational Programming Assistants
di: Richards, Jonan
Pubblicazione: (2026)

Flaky Tests in a Large Industrial Database Management System: An Empirical Study of Fixed Issue Reports for SAP HANA
di: Berndt, Alexander, et al.
Pubblicazione: (2026)

Inducing Vulnerable Code Generation in LLM Coding Assistants
di: Zeng, Binqi, et al.
Pubblicazione: (2025)

BOMs Away! Inside the Minds of Stakeholders: A Comprehensive Study of Bills of Materials for Software Systems
di: Stalnaker, Trevor, et al.
Pubblicazione: (2023)

LLPut: Investigating Large Language Models for Bug Report-Based Input Generation
di: Hasan, Alif Al, et al.
Pubblicazione: (2025)

Bridging HCI and AI Research for the Evaluation of Conversational SE Assistants
di: Richards, Jonan, et al.
Pubblicazione: (2025)

Tether: A Personalized Support Assistant for Software Engineers with ADHD
di: Shah, Aarsh, et al.
Pubblicazione: (2025)

RubberDuckBench: A Benchmark for AI Coding Assistants
di: Mohammed, Ferida, et al.
Pubblicazione: (2026)

Assessing AI-Based Code Assistants in Method Generation Tasks
di: Corso, Vincenzo, et al.
Pubblicazione: (2024)

Beyond the Commit: Developer Perspectives on Productivity with AI Coding Assistants
di: Chen, Valerie, et al.
Pubblicazione: (2026)

Developer Perspectives on Licensing and Copyright Issues Arising from Generative AI for Software Development
di: Stalnaker, Trevor, et al.
Pubblicazione: (2024)

RAGVA: Engineering Retrieval Augmented Generation-based Virtual Assistants in Practice
di: Yang, Rui, et al.
Pubblicazione: (2025)

The Impact of AI Coding Assistants on Software Engineering: A Longitudinal Study
di: Vella, Annie, et al.
Pubblicazione: (2026)

Tokalator: A Context Engineering Toolkit for Artificial Intelligence Coding Assistants
di: Farajijobehdar, Vahid, et al.
Pubblicazione: (2026)

Harnessing Hype to Teach Empirical Thinking: An Experience With AI Coding Assistants
di: Wyrich, Marvin, et al.
Pubblicazione: (2026)

Usage, Effects and Requirements for AI Coding Assistants in the Enterprise: An Empirical Study
di: Vukovic, Maja, et al.
Pubblicazione: (2026)

IssueGuard: Real-Time Secret Leak Prevention Tool for GitHub Issue Reports
di: Rahman, Md Nafiu, et al.
Pubblicazione: (2026)

Issue2Test: Generating Reproducing Test Cases from Issue Reports
di: Nashid, Noor, et al.
Pubblicazione: (2025)

MultiMind: A Plug-in for the Implementation of Development Tasks Aided by AI Assistants
di: Donato, Benedetta, et al.
Pubblicazione: (2025)