This paper aims to explore fundamental questions in the era when AI coding assistants like GitHub Copilot are widely adopted: what do developers truly value and criticize in AI coding assistants, and what does this reveal about their needs and …
The rapid advancement of Large Language Models (LLMs) has opened new opportunities for static bug and vulnerability detection, offering complementary insights to traditional static analysis. In this talk, I will present our recent work on LLM-based …
Proof assistants are software tools for formal modeling and verification of software, hardware, design, and mathematical proofs. Due to the growing complexity and scale of formal proofs, compatibility issues frequently arise when using different …
Agents built on LLMs are increasingly deployed across diverse domains, automating complex decision-making and task execution. However, their autonomy introduces safety risks, including security vulnerabilities, legal violations, and unintended …
Dialect translation plays a key role in enabling seamless interaction across heterogeneous database systems. However, translating SQL queries between different dialects (e.g., from PostgreSQL to MySQL) remains a challenging task due to syntactic …
SQL query rewriting is a core technique used in applications such as optimization, dialect translation, and testing, yet most existing tools remain restricted by dialect-specific parsers. We present SQLFlex, a novel framework that combines …
Deep Reinforcement Learning (DRL) is a paradigm of artificial intelligence where an agent uses a neural network to learn which actions to take in a given environment. DRL has recently gained traction from being able to solve complex environments like …
Many software testing papers claim to discover bugs but without providing sufficient evidence. My analysis of 39 papers from top conferences revealed that only 51% provide complete bug identifiers and 28% have inaccessible artifacts. Their …
Relational DBMSs (RDBMSs) are ubiquitous, so any bugs or inconsistencies within RDBMSs are highly consequential. Particularly, logic bugs, which can cause an incorrect result to be returned for a given query evaluation, are critical because they are …
Service-level objectives (SLOs), as network performance requirements for delay and packet loss typically, should be guaranteed for increasing high-performance applications, e.g., telesurgery and cloud gaming. However, SLO violations are common and …