3,458 papers · page 5 of 173
With the growing interest in quantum computing, the emergence of quantum supremacy has marked a pivotal milestone in the field. As a result, numerous quantum programming languages (QPLs) have been introduced to support the development of quantum algorithms. However, the applicati…
Large language models (LLMs) have demonstrated good performance in general code generation; however, their capabilities in quantum code generation remain insufficiently studied. This paper presents QuanBench, a benchmark for evaluating LLMs on quantum code generation. QuanBench i…
Perceiving the complex driving environment precisely is crucial to the safe operation of autonomous vehicles. With the tremendous advancement of deep learning and communication technology, Vehicle-to-Everything (V2X) cooperative perception has the potential to address limitations…
The multi-window mode in Android has greatly improved productivity and usability by allowing multiple apps to run concurrently. However, alongside the advantages, such mode also introduces unforeseen risks in both functionality and security. In this work, we present the first sys…
Virtual Reality (VR) is an emerging technology increasingly adopted in sectors such as gaming, education, border security, and industrial training. However, testing VR applications presents unique challenges due to factors like active user interaction, hardware dependencies, and …
Software ecosystems like Maven Central play a crucial role in modern software supply chains by providing repositories for libraries and build plugins. However, the separation between binaries and their corresponding source code in Maven Central presents a significant challenge, p…
Maximal Extractable Value (MEV) activities pose critical operational challenges for blockchain enterprises, requiring automated detection systems to maintain platform integrity and regulatory compliance. Current industrial practices rely on heuristic rule-based methods with subst…
Log-based fault diagnosis is essential for maintaining software system availability. However, existing fault diagnosis methods are built using a task-independent manner, which fails to bridge the gap between anomaly detection and root cause localization in terms of data form and …
Log-based software reliability maintenance systems are crucial for sustaining stable customer experience. However, existing deep learning-based methods represent a black box for service providers, making it impossible for providers to understand how these methods detect anomalies…
Translating C to Rust is a promising way to enhance the reliability of legacy system programs. Although the industry has developed an automatic C-to-Rust translator, C2Rust, its translation remains unsatisfactory. One major reason is that C2Rust retains C standard library (libc) …
User interface (UI) display issues, such as widgets occlusion, missing elements, and screen overflow, are emerging as a non-negligible source of user complaints in commercial mobile apps. However, existing automated testing tools typically rely on a vast amount of high-quality tr…
Requirements Engineering (RE) is an initial and critical phase in software development, with the aim of producing well-defined software requirements specifications (SRSs) from rough ideas of clients. It involves multiple tasks (e.g., elicitation, analysis) and roles (e.g., interv…
Open source software (OSS) has become the foundation of modern applications, but its transitive dependencies make it especially vulnerable to supply chain attacks. One common tactic is to inject malicious code into third-party packages. NPM, in particular, due to its widespread u…
Large language model (LLM)-based automated program repair (APR) techniques have shown promising results in resolving real-world github issue tasks. Existing APR systems are primarily evaluated in unimodal settings (e.g., SWE-bench), relying solely on textual issue descriptions an…
Managing complex cloud services requires standard operational documentation, but its sheer volume often hinders cloud engineers from efficient knowledge acquisition. Retrieval-Augmented Generation (RAG) can streamline this process by retrieving relevant knowledge and generating c…
Self-adaptive robots (SARs) in complex, uncertain environments must proactively detect and address abnormal behaviors, including out-of-distribution (OOD) cases. To this end, digital twins offer a valuable solution for OOD detection. Thus, we present a digital twin-based approach…
Library migration is the process of replacing one library with another library that provides similar functionality. Manual library migration is time consuming and error prone, as it requires developers to understand the APIs of both libraries, map them, and perform the necessary …
Large Language Models (LLMs) like ChatGPT are increasingly integrated into software development environments due to their strong performance in code generation. However, they often struggle with complex logic, security vulnerabilities, and code quality issues. These problems freq…
An estimated 43.3 million people worldwide live with blindness and rely on screen readers (SRs) to access the web. To support accessible development, software teams often rely on automated tools like WAVE and Lighthouse to detect accessibility issues. However, these tools primari…
Second-Order vulnerabilities, such as second-order Cross-Site Scripting (XSS) and Server-Side Request Forgery (SSRF), occur when user-controlled inputs are stored in databases and later retrieved in different execution contexts, complicating static detection. Existing static anal…