26,098 papers · page 78 of 1,305
Evaluating the code generation capabilities of Large Language Models (LLMs) remains an open question. Recently, more advanced benchmarks—such as CoderEval, EvoCodeBench, and ClassEval—have been introduced to evaluate LLMs on practical coding tasks from GitHub repositories, such a…
As cloud service systems grow in scale and complexity, incidents that indicate unplanned interruptions and outages become unavoidable. Rapid and accurate triage of these incidents to the appropriate responsible teams is crucial to maintain service reliability and prevent signific…
Alerts are critical for detecting anomalies in large-scale cloud systems, ensuring reliability and user experience. However, current systems generate overwhelming volumes of alerts, degrading operational efficiency due to ineffective alert life-cycle management. This paper detail…
As Code Language Models (CLMs) are increasingly used to automate multilingual code intelligence tasks, Full-Parameter Fine-Tuning (FPFT) of CLMs has become a widely adopted approach, which is both time-consuming and resource-intensive. Parameter-Efficient Fine-Tuning (PEFT) provi…
Symbol recovery in reverse engineering is crucial for restoring variable and data structure information in compiled binaries. While learning-based methods have shown promise in recovering both semantic information (names and types) and syntactic information (shapes), they require…
Smart contracts are a core component of blockchain ecosystems, but their transparency and immutability make them vulnerable to attacks, leading to significant financial losses. Thus, repairing vulnerabilities in smart contracts is crucial for establishing a trustworthy blockchain…
When fuzzing a proprietary file-processing program, one typically executes the whole program repeatedly with sampled input files, and distinguishes between normal and abnormal termination. While this works well for many command-line utilities, it is more complicated for programs …
The abstract syntax tree differencing (ASTDiff) technique aims to capture syntactic code changes through comparing the differences between a pair of ASTs of a program, which has been widely used in various program analysis or testing tasks, such as code review, clone detection, a…
Deep learning programs are continually enhanced for improved performance through the use of kernel-level optimizations, parallel training, and low-precision arithmetic. These optimizations provide different implementations that are mathematically equivalent. Round-off error in fl…
The Linux kernel network stack is a critical component of modern operating systems, widely deployed across platforms and often exposed to untrusted inputs. Its complex and stateful nature makes it a frequent target of security vulnerabilities, particularly those triggered by subt…
Reading code is a fundamental activity in both software engineering and computer science education. Understanding the cognitive processes involved in reading code is crucial for identifying effective cognitive strategies, which can inform teaching methods and tooling support for …
Measuring code coverage is a critical practice in software testing. Incorrect or misleading coverage information reported by automatic tools can increase the software development cost and lead to negative consequences especially for safety-critical software. Ensuring the correctn…
OpenHarmony is a new mobile operating system that offers a popular alternative to Android and iOS. To support its adoption, significant efforts have been devoted to porting C/C++ libraries from Linux to OpenHarmony. However, this porting process presents unique challenges due to …
Recent advancements in large language models (LLMs) have automated various software engineering tasks, with benchmarks emerging to evaluate their capabilities. However, for adaptation, a critical activity during code reuse, there is no benchmark to assess LLMs’ performance, leavi…
Decentralized Applications (DApps) serve as the gateway to utilizing blockchain technology. As their prevalence continues to grow, DApps are becoming increasingly interconnected. For instance, a DApp does not need to manage the prices of various tokens internally, as it can retri…
The variety of mobile operating systems available in the market has led to the emergence of cross-platform frameworks, which simplify the development and deployment of mobile applications across multiple platforms simultaneously. Among these, the Flutter framework promoted by Goo…
Large Language Models (LLMs) have been found to show over-refusal problems—erroneously rejecting benign queries due to overly conservative safety measures—a critical functional flaw that undermines their reliability and usability. Current methods for testing this behavior are dem…
Managing third-party libraries is a costly and critical task for enterprises, essential for both vulnerability assessment and license compliance. Existing android software composition analysis tools focus on mitigating code obfuscation but neglect the impact of code optimization,…
Mini-programs, an emerging mobile application paradigm within super-apps, offer a seamless and installation-free experience. However, the adoption of the web-view component has disrupted their isolation mechanisms, exposing new attack surfaces and vulnerabilities. In this paper, …
Binary reverse engineering is foundational to various tasks such as malware analysis and vulnerability detection. Traditional binary analysis tools mainly operate at the function level. However, modern software has grown significantly in size, with binaries often containing thous…