26,098 papers · page 26 of 1,305
With the rapid development of large language models in code generation, AI-powered editors such as GitHub Copilot and Cursor are revolutionizing software development practices. At the same time, studies have identified potential defects in the generated code. Previous research ha…
Recovering the modular architecture of software systems from source code remains challenging when documentation is incomplete or outdated. Manual recovery is labor-intensive and does not scale to large systems. Although automated techniques have been proposed, many rely on handcr…
While being key hardware techniques for improving the performance of modern processors, the speculative execution mechanisms also lead to side-channel attacks, which pose significant threats to the security of computer systems. While researchers have proposed various solutions to…
AI-assisted programming tools are widely adopted, yet their practical utility is often undermined by undesired suggestions that interrupt developer workflows and cause frustration. While existing research has explored developer-AI interactions when programming qualitatively, a si…
A growing number of emerging database management systems, such as time-series and streaming database systems, have been developed to support specialized workloads with enhanced performance and functionality. However, these systems are often less mature than traditional relational…
WebAssembly (Wasm) has emerged as a powerful bytecode format for running applications with near-native performance in portable and secure environments. However, while Wasm currently supports compiled languages like C, C++, and Rust, it lacks robust support for managed languages s…
Unpatching, the process of reverting security patches to reintroduce historical vulnerabilities into newer software versions, is valuable for creating realistic benchmarks to evaluate security analysis tools. However, this process is challenging due to code evolution, leading to …
Static analysis tools are widely used to detect bugs, vulnerabilities, and code smells. Traditionally, developers must resolve these warnings manually by analyzing the warning, deciding whether to fix or suppress it, and validating the correctness of the code change. Because this…
A Constrained Horn Clause (CHC) is a specific type of logic formula that contains uninterpreted predicates. CHC formulas are often used by static program analyzers to encode program properties, which are then verified using CHC solvers. The solvers themselves are complex tools an…
We present Pig, a novel approach to automating Python library migration by leveraging large language models (LLMs). Library migration is an increasingly common task in modern Python development, yet it remains tedious and error-prone due to the lack of general solutions that can …
Modern cloud applications heavily rely on Identity and Access Management (IAM) services to enforce flexible access control over their data. However, the flexibility comes at a cost: IAM policies are often complex and prone to misconfigurations, leading to risks of data exposure. …
While Retrieval-Augmented Generation (RAG) is increasingly adopted to ground Large Language Models (LLMs) in software artifacts, the optimal configuration of its components remains an open question for software engineering (SE) tasks. The lack of systematic guidance forces practi…
Maintaining consistency between code and documentation is a crucial yet frequently overlooked aspect of software development. Even minor mismatches can confuse API users, introduce new bugs, and increase overall maintenance effort. This creates demand for automated solutions that…
Active learning of formal behavior models from program source code is a powerful approach for a wide range of software analysis, validation, and verification tasks, including understanding system intent, automating specification mining, generating test oracles, and checking forma…
Large language models for code (CodeLLMs) have demonstrated remarkable success in standalone code completion and generation, sometimes even surpassing human performance, yet their effectiveness diminishes in repository-level settings where cross-file dependencies and structural c…
A type checker must reject ill-typed programs in addition to accepting well-typed programs. Negative type checker tests, programs expected to be rejected, validate that a type checker enforces the language’s typing rules as intended. We focus on negative type checker tests for P4…
Drone swarms are emerging as paradigm-shifting technology with the potential to redefine traditional robot missions such as logistics, surveillance, and disaster response, through their ability to coordinate large numbers of autonomous drones. Yet, progress in swarm research and …
Debugging is a central yet complex activity in software engineering. Prior studies have documented debugging strategies and tool usage, but little theory explains how experienced developers reason about bugs in large, real-world codebases. We conducted a qualitative study using a…
The increasing prevalence of software vulnerabilities highlights the need for effective Automatic Vulnerability Repair (AVR) tools. While LLM-based approaches are promising, they struggle to incorporate structured security knowledge from sources like CWE and NVD. Current methods …
Large Language Models (LLMs) have become foundational in modern language-driven software applications, profoundly influencing daily life. A critical technique in leveraging their potential is role-playing, where LLMs simulate diverse roles to enhance their real-world utility. How…