Saved in:
| Main Authors: | Takerngsaksiri, Wannita, Warusavitarne, Cleshan, Yaacoub, Christian, Hou, Matthew Hee Keng, Tantithamthavorn, Chakkrit |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2311.00177 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
PyTester: Deep Reinforcement Learning for Text-to-Testcase Generation
by: Takerngsaksiri, Wannita, et al.
Published: (2024)
by: Takerngsaksiri, Wannita, et al.
Published: (2024)
Enhancing Large Language Models for Text-to-Testcase Generation
by: Alagarsamy, Saranya, et al.
Published: (2024)
by: Alagarsamy, Saranya, et al.
Published: (2024)
Code Readability in the Age of Large Language Models: An Industrial Case Study from Atlassian
by: Takerngsaksiri, Wannita, et al.
Published: (2025)
by: Takerngsaksiri, Wannita, et al.
Published: (2025)
Human-In-The-Loop Software Development Agents: Challenges and Future Directions
by: Pasuksmit, Jirat, et al.
Published: (2025)
by: Pasuksmit, Jirat, et al.
Published: (2025)
Code Ownership: The Principles, Differences, and Their Associations with Software Quality
by: Thongtanunam, Patanamon, et al.
Published: (2024)
by: Thongtanunam, Patanamon, et al.
Published: (2024)
Fine-Tuning and Prompt Engineering for Large Language Models-based Code Review Automation
by: Pornprasit, Chanathip, et al.
Published: (2024)
by: Pornprasit, Chanathip, et al.
Published: (2024)
Human-In-the-Loop Software Development Agents
by: Takerngsaksiri, Wannita, et al.
Published: (2024)
by: Takerngsaksiri, Wannita, et al.
Published: (2024)
TaskEval: Synthesised Evaluation for Foundation-Model Tasks
by: Widanapathiranage, Dilani, et al.
Published: (2025)
by: Widanapathiranage, Dilani, et al.
Published: (2025)
AI for DevSecOps: A Landscape and Future Opportunities
by: Fu, Michael, et al.
Published: (2024)
by: Fu, Michael, et al.
Published: (2024)
What do AI/ML practitioners think about AI/ML bias?
by: Pant, Aastha, et al.
Published: (2024)
by: Pant, Aastha, et al.
Published: (2024)
Navigating Fairness: Practitioners' Understanding, Challenges, and Strategies in AI/ML Development
by: Pant, Aastha, et al.
Published: (2024)
by: Pant, Aastha, et al.
Published: (2024)
Ethics in AI through the Practitioner's View: A Grounded Theory Literature Review
by: Pant, Aastha, et al.
Published: (2022)
by: Pant, Aastha, et al.
Published: (2022)
Automatically Recommend Code Updates: Are We There Yet?
by: Liu, Yue, et al.
Published: (2022)
by: Liu, Yue, et al.
Published: (2022)
When AI Takes the Wheel: Security Analysis of Framework-Constrained Program Generation
by: Liu, Yue, et al.
Published: (2025)
by: Liu, Yue, et al.
Published: (2025)
On the Reliability and Explainability of Language Models for Program Generation
by: Liu, Yue, et al.
Published: (2023)
by: Liu, Yue, et al.
Published: (2023)
Protect Your Secrets: Understanding and Measuring Data Exposure in VSCode Extensions
by: Liu, Yue, et al.
Published: (2024)
by: Liu, Yue, et al.
Published: (2024)
Requirements-Driven Automated Software Testing: A Systematic Review
by: Wang, Fanyu, et al.
Published: (2025)
by: Wang, Fanyu, et al.
Published: (2025)
From Domain Documents to Requirements: Retrieval-Augmented Generation in the Space Industry
by: Arora, Chetan, et al.
Published: (2025)
by: Arora, Chetan, et al.
Published: (2025)
Blended PC Peer Review Model: Process and Reflection
by: Tantithamthavorn, Chakkrit, et al.
Published: (2025)
by: Tantithamthavorn, Chakkrit, et al.
Published: (2025)
Practitioners' Challenges and Perceptions of CI Build Failure Predictions at Atlassian
by: Hong, Yang, et al.
Published: (2024)
by: Hong, Yang, et al.
Published: (2024)
RAGVA: Engineering Retrieval Augmented Generation-based Virtual Assistants in Practice
by: Yang, Rui, et al.
Published: (2025)
by: Yang, Rui, et al.
Published: (2025)
A Preliminary Study of Large Language Models for Multilingual Vulnerability Detection
by: Yu, Junji, et al.
Published: (2025)
by: Yu, Junji, et al.
Published: (2025)
Evaluating Large Language Models for Multilingual Vulnerability Detection at Dual Granularities
by: Shu, Honglin, et al.
Published: (2025)
by: Shu, Honglin, et al.
Published: (2025)
On the Evaluation of Large Language Models in Multilingual Vulnerability Repair
by: wang, Dong, et al.
Published: (2025)
by: wang, Dong, et al.
Published: (2025)
SQAPlanner: Generating Data-Informed Software Quality Improvement Plans
by: Rajapaksha, Dilini, et al.
Published: (2021)
by: Rajapaksha, Dilini, et al.
Published: (2021)
DecipherGuard: Understanding and Deciphering Jailbreak Prompts for a Safer Deployment of Intelligent Software Systems
by: Yang, Rui, et al.
Published: (2025)
by: Yang, Rui, et al.
Published: (2025)
MORTAR: Multi-turn Metamorphic Testing for LLM-based Dialogue Systems
by: Guo, Guoxiang, et al.
Published: (2024)
by: Guo, Guoxiang, et al.
Published: (2024)
Multi-Modal Requirements Data-based Acceptance Criteria Generation using LLMs
by: Wang, Fanyu, et al.
Published: (2025)
by: Wang, Fanyu, et al.
Published: (2025)
AdaptiveGuard: Towards Adaptive Runtime Safety for LLM-Powered Software
by: Yang, Rui, et al.
Published: (2025)
by: Yang, Rui, et al.
Published: (2025)
HalluJudge: A Reference-Free Hallucination Detection for Context Misalignment in Code Review Automation
by: Tantithamthavorn, Kla, et al.
Published: (2026)
by: Tantithamthavorn, Kla, et al.
Published: (2026)
Full Line Code Completion: Bringing AI to Desktop
by: Semenkin, Anton, et al.
Published: (2024)
by: Semenkin, Anton, et al.
Published: (2024)
Challenge on Optimization of Context Collection for Code Completion
by: Ustalov, Dmitry, et al.
Published: (2025)
by: Ustalov, Dmitry, et al.
Published: (2025)
Beyond the Commit: Developer Perspectives on Productivity with AI Coding Assistants
by: Chen, Valerie, et al.
Published: (2026)
by: Chen, Valerie, et al.
Published: (2026)
Control Models for In-IDE Code Completion
by: de Moor, Aral, et al.
Published: (2026)
by: de Moor, Aral, et al.
Published: (2026)
Predicting Developer Acceptance of AI-Generated Code Suggestions
by: Jiang, Jing, et al.
Published: (2026)
by: Jiang, Jing, et al.
Published: (2026)
An Exploration of Agile Methods in the Automotive Industry: Benefits, Challenges and Opportunities
by: Askarpour, Mehrnoosh, et al.
Published: (2024)
by: Askarpour, Mehrnoosh, et al.
Published: (2024)
Vulnerability Handling of AI-Generated Code -- Existing Solutions and Open Challenges
by: Kaniewski, Sabrina, et al.
Published: (2024)
by: Kaniewski, Sabrina, et al.
Published: (2024)
Industry Practitioners Perspectives on AI Model Quality: Perceptions, Challenges, and Solutions
by: Wang, Chenyu, et al.
Published: (2024)
by: Wang, Chenyu, et al.
Published: (2024)
Don't Complete It! Preventing Unhelpful Code Completion for Productive and Sustainable Neural Code Completion Systems
by: Sun, Zhensu, et al.
Published: (2022)
by: Sun, Zhensu, et al.
Published: (2022)
Multi-Agent Code-Orchestrated Generation for Reliable Infrastructure-as-Code
by: Khan, Rana Nameer Hussain, et al.
Published: (2025)
by: Khan, Rana Nameer Hussain, et al.
Published: (2025)
Similar Items
-
PyTester: Deep Reinforcement Learning for Text-to-Testcase Generation
by: Takerngsaksiri, Wannita, et al.
Published: (2024) -
Enhancing Large Language Models for Text-to-Testcase Generation
by: Alagarsamy, Saranya, et al.
Published: (2024) -
Code Readability in the Age of Large Language Models: An Industrial Case Study from Atlassian
by: Takerngsaksiri, Wannita, et al.
Published: (2025) -
Human-In-The-Loop Software Development Agents: Challenges and Future Directions
by: Pasuksmit, Jirat, et al.
Published: (2025) -
Code Ownership: The Principles, Differences, and Their Associations with Software Quality
by: Thongtanunam, Patanamon, et al.
Published: (2024)