3,458 papers · page 41 of 173
The SZZ algorithm has been widely used for identifying bug-inducing commits. However, it suffers from low precision, as not all deletion lines in the bug-fixing commit are related to the bug fix. Previous studies have attempted to address this issue by using static methods to fil…
Large Language Models (LLMs) have demonstrated remarkable performance in code completion. However, due to the lack of domain-specific knowledge, they may not be optimal in completing code that requires intensive domain knowledge for example completing the library names. Although …
A FinTech system is a cluster of FinTech applications that intensively interact with databases containing a large quantity of user data. To ensure data consistency, it is a common practice to specify data constraints to validate data at runtime. However, data constraints often ev…
Adversarial examples are important to test and enhance the robustness of deep code models. As source code is discrete and has to strictly stick to complex grammar and semantics constraints, the adversarial example generation techniques in other domains are hardly applicable. More…
Deep learning has been widely adopted to tackle various code-based tasks by building deep code models based on a large amount of code snippets. While these deep code models have achieved great success, even state-of-the-art models suffer from noise present in inputs leading to er…
Designing and optimizing deep models require managing large datasets and conducting carefully designed controlled experiments that depend on large sets of hyper-parameters and problem dependent software/data configurations. These experiments are executed by training the model und…
The advent of edge devices dedicated to machine learning tasks enabled the execution of AI-based applications that efficiently process and classify the data acquired by the resource-constrained devices populating the Internet of Things. The proliferation of such applications (e.g…
Front-end developers want their applications to contain no more code than is needed in order to minimize the amount of time that elapses between visiting a web page and the page becoming responsive. However, front-end code is typically written in JavaScript, the ubiquitous “langu…
Reading source code occupies most of developer's daily activities. Any maintenance and evolution task requires developers to read and understand the code they are going to modify. For this reason, previous research focused on the definition of techniques to automatically assess t…
With the increased developments in quantum computing, the availability of systematic and automatic testing approaches for quantum programs is becoming increasingly essential. To this end, we present the quantum software testing tool QuCAT for combinatorial testing of quantum prog…
The microservice paradigm is a popular software development pattern that breaks down a large application into smaller, independent services. While this approach offers several advantages, such as scalability, agility, and flexibility, it also introduces new security challenges. T…
Trigger-action programming (TAP) is a widely used development paradigm that simplifies the Internet of Things (loT) automation. However, the exceptional interactions between automation applications may result in interferences, such as conflicts and infinite loops, which cause und…
MLIR (Multi-Level Intermediate Representation) compiler infrastructure has gained popularity in recent years to support the construction of many compilers. Instead of designing a new IR with a single abstraction for each domain, MLIR compiler infrastructure provides systematic pa…
The exponential growth of social media platforms has brought about a revolution in communication and content dissemination in human society. Nevertheless, these platforms are being increasingly misused to spread toxic content, including hate speech, malicious advertising, and por…
The prevalence and severity of software configuration-induced issues have driven the design and development of a number of detection and diagnosis techniques. Many of these techniques need to perform static taint analysis on configuration-related variables to analyze the data flo…
As basic elements in program, variables convey essential information that is critical for program comprehension and maintenance. However, understanding the meanings of variables in program is not always easy for developers, since poor-quality variable names are prevalent while su…
Software plays a crucial role in our daily lives, and therefore the quality and security of software systems have become increasingly important. However, vulnerabilities in software still pose a significant threat, as they can have serious consequences. Recent advances in automat…
Virtual Reality (VR) is an emerging technique that has been applied to more and more areas such as gaming, remote conference, and education. Since VR user interface has very different characteristics compared with traditional graphic user interface (GUI), VR applications also req…
Logs are prevalent in modern cloud systems and serve as a valuable source of information for system maintenance. Over the years, a lot of research and industrial efforts have been devoted to the field of log-based anomaly detection. Through analyzing the limitations of existing a…
Commit message generation (CMG) is a challenging task in automated software engineering that aims to generate natural language descriptions of code changes for commits. Previous methods all start from the modified code snippets, outputting commit messages through template-based, …