26,098 papers · page 133 of 1,305
As mobile applications become increasingly integral to our daily lives, concerns about ethics have grown drastically. Users share their experiences, report bugs, and request new features in application reviews, often highlighting safety, privacy, and accountability concerns. Appr…
Large Language Models (LLMs), such as GPT-4, StarCoder, and Code Llama, are transforming the way developers approach programming by automatically generating code based on given contexts, such as natural language descriptions or incomplete surrounding code. Despite advancements, g…
This research explores the transformative potential of generative AI in software development. Generative AI is revolutionizing the field by offering capabilities to automatically generate, refactor, and test code. Through the use of action research, new methods and tools based on…
Traceability plays a vital role in facilitating various software development activities by establishing the traces between different types of artifacts (e.g., issues and commits in software repositories). Among the explorations for automated traceability recovery, the IR (Informa…
Automated incident management is critical for large-scale microservice systems, including tasks such as anomaly detection (AD), failure triage (FT), and root cause localization (RCL). Currently, most techniques focus only on a single task, overlooking shared knowledge across clos…
Developers' technical expertise is crucial for various tasks within open-source communities, such as identifying suitable maintainers or reviewers. However, GitHub, the world's largest open-source code hosting platform, does not explicitly display developers' technical expertise.…
Configurable systems often contain components from different fields or disciplines that are relevant for distinct stakeholders. For instance, tests or analyses targeting interactions of the software of a cyber-physical system may be only applicable for software components. Howeve…
Performance analysis is challenging as different components (e.g., different libraries, and applications) of a complex system can interact with each other. However, few existing tools focus on understanding such interactions. To bridge this gap, we propose a novel analysis method…
Autonomous driving systems (ADS) are safety-critical and require comprehensive testing before their deployment on public roads. While existing testing approaches primarily aim at the criticality of scenarios, they often overlook the diversity of the generated scenarios that is al…
Microservice systems are inherently complex and prone to failures, which can significantly impact user experience. Existing diagnostic approaches based on single-modal data such as logs, metrics, or traces cannot comprehensively capture failure patterns. For those multimodal data…
Performance testing aims at uncovering efficiency issues of software systems. In order to be both effective and practical, the design of a performance test must achieve a reasonable trade-off between result quality and testing time. This becomes particularly challenging in Java c…
In recent years, scripting languages such as JavaScript and Python have gained a lot of traction due to their flexibility, which allows developers to write concise code in a short amount of time. However, this flexibility is achieved via weak, dynamic typing, which fails to catch…
Load testing is essential for ensuring the performance and stability of modern large-scale systems, which must handle vast numbers of concurrent requests. Traditional load tests, often requiring extensive execution times, are costly and impractical within the short release cycles…
Serverless computing, also known as Function-as-a-Service (FaaS), is a significant development trend in modern software system architecture. The workflow composition of multiple short-lived functions has emerged as a prominent pattern in FaaS, exposing a considerable resources co…
Ensuring the reliability and consistency of Internet of Things (IoT) systems is critical. Traditional approaches to maintaining consistency often rely on retry and rollback mechanisms, which can be inadequate and lead to further complications. These methods struggle with the comp…
The rising popularity of mini-programs deployed on super-app platforms has drawn significant attention due to their convenience. However, developers' improper handling of data permission application in mini-programs has raised concerns about non-compliance and violations. Unfortu…
The microservice-based architecture - a SOA-inspired principle of dividing systems into components that communicate with each other using language-agnostic APIs - has gained increased popularity in industry. Yet, migrating a monolithic application into microservices is a challeng…
Background. In recent years, the volume and complexity of data handled by Database Management Systems (DBMS) have surged, necessitating greater efforts and resources for efficient administration. In response, numerous automation tools for DBMS administration have emerged, particu…
Deep code models (DCMs) have achieved impressive accomplishments and have been widely applied to various code-related tasks. However, existing studies show that some DCMs have poor robustness, and even small noise in the input data can lead to erroneous outputs. This phenomenon c…
API suggestion is a critical task in modern software development, assisting programmers by predicting and recommending third-party APIs based on the current context. Recent advancements in large code models (LCMs) have shown promise in the API suggestion task. However, they mainl…