3,458 papers · page 32 of 173
Machine translation has become an integral part of daily life, with terminology translation playing a crucial role in ensuring the accuracy of translation results. However, existing translation systems, such as Google Translate, have been shown to occasionally produce errors in t…
ChatGPT has enabled third-party developers to create plugins to expand ChatGPT's capabilities. These plugins are distributed through OpenAI's plugin store, making them easily accessible to users. With ChatGPT as the backbone, this app ecosystem has illustrated great business pote…
Rust is a relatively new programming language known for its memory safety and numerous advanced features. It has been widely used in system software in recent years. Thus, ensuring the reliability and robustness of the only implementation of the Rust compiler, rustc, is critical.…
Peer code review has become a must-have in modern software development. However, many code review requests (CRRs) could be a backlog for large-scale and active projects, blocking continuous integration and continuous delivery (CI/CD). Prioritizing CRRs to make the relevant ones t…
Unit testing is an essential activity in software development for verifying the correctness of software components. However, manually writing unit tests is challenging and time-consuming. The emergence of Large Language Models (LLMs) offers a new direction for automating unit tes…
Continuous Integration (CI) provides a feedback loop for the change sets that developers produce. It is crucial that CI processes change sets quickly to provide timely feedback to developers and enable teams to release software updates rapidly. Prior work has made several advance…
Many programming languages include an implementation of the option type, which encodes the absence or presence of values. Incorrect use of the option type results in run-time errors, and unstylistic use results in unnecessary code. Researchers and practitioners have tried to miti…
Android is the most popular mobile operating system. However, Android development requires extensive coding, especially for unique features such as lifecycle callbacks and UI widgets. Existing code completion methods typically utilize Retrieval-Augmented Generation (RAG) to provi…
Parser-based log compressors have been widely explored in recent years because the explosive growth of log volumes makes the compression performance of general-purpose compressors unsatisfactory. These parser-based compressors preprocess logs by grouping the logs based on the par…
In this work, we report and study a phenomenon that contributes to Android API sprawls. We observe that OEM developers introduce private APIs that are composed by copy-paste-editing full or partial code from AOSP and other OEM APIs - we call such APIs, Replicas.
Patch presence test is critical in software security to ensure that binary files have been patched for known vulnerabilities. It is challenging due to the semantic gap between the source code and the binary, and the small and subtle nature of patches. In this paper, we propose Re…
The continuous evolution of small Unmanned Aerial Systems (sUAS) demands advanced testing methodologies to ensure their safe and reliable operations in the real-world. To push the boundaries of sUAS simulation testing in realistic environments, we previously developed the DroneRe…
As one of the most popular dynamic languages, Python experiences a decrease in readability and maintainability when code smells are present. Recent advancements in Large Language Models have sparked growing interest in AI-enabled tools for both code generation and refactoring. Gi…
Modern large language models (LLMs), such as ChatGPT, have demonstrated impressive capabilities for coding tasks, including writing and reasoning about code. They improve upon previous neural network models of code, such as code2seq or seq2seq, that already demonstrated competiti…
Large language models (LLMs) have achieved unprecedented success in the field of natural language processing. However, the black-box nature of their internal mechanisms has brought many concerns about their trustworthiness and interpretability. Recent research has discovered a cl…
Large language models (LLMs) have achieved impressive performance on code generation. Although prior studies enhanced LLMs with prompting techniques and code refinement, they still struggle with complex programming problems due to rigid solution plans. In this paper, we draw on p…
As modern software systems evolve towards greater complexity, ensuring their reliable operation has become a critical challenge. Log data analysis is vital in maintaining system stability, with anomaly detection being a key aspect. However, existing log anomaly detection methods …
Rust is renowned for its robust memory safety capabilities, yet its distinctive memory management model poses substantial challenges in both writing and understanding programs. Within Rust source code, comments are employed to clearly delineate conditions that might cause panic b…
Automated web GUI testing has been widely adopted since manual testing is time-consuming and tedious. Waiting strategy plays a vital role in automated web GUI testing since it significantly impacts the testing performance. Though important, little focus has been set on the waitin…
Existing fault localization techniques typically analyze static information and run-time profiles of faulty software programs, and subsequently calculate suspiciousness values for each program entity. Such strategies typically have overbroad information to be analyzed and lead to…