26,098 papers · page 72 of 1,305
Reliability management in cloud service systems is challenging due to the cascading effect of failures. Error wrapping, a practice prevalent in modern microservice development, enriches errors with context at each layer of the function call stack, constructing an error chain that…
As Ethereum smart contracts grow in complexity, upgrades are necessary but challenging due to their immutable nature. Proxy contracts enable upgrades without changing contract state, but current detection approaches often rely on source code or transaction history and fail to det…
Robust anomaly detection in system logs plays a crucial role in maintaining stable and reliable software operations. However, existing methods often struggle to accommodate evolving log formats and distributional shifts across systems, as they heavily rely on large volumes of lab…
We introduce prompt cloning, a new black-box attack that reconstructs functionally equivalent system prompts rather than extracts original system prompts. Unlike prompt stealing, prompt cloning exploits the insight that system prompts leave persistent behavioral traces in outputs…
Fault localization (FL) is a critical but time-consuming part of software debugging. With the improvement of the Large Language Models (LLMs) in their code capabilities, the increasing demand for automated software development has encouraged more research on building LLM-based Fa…
OpenID Connect has revolutionized online authentication based on single sign-on (SSO) by providing a secure and convenient method for accessing multiple services with a single set of credentials. Despite its widespread adoption, critical security bugs in OpenID Connect have resul…
Developers consistently use version constraints to specify acceptable versions of the dependencies for their project. Pinning dependencies can reduce the likelihood of breaking changes, but comes with a cost of manually managing the replacement of outdated and vulnerable dependen…
Since developers invoke the build system frequently, its performance can impact productivity. Modern artifact-based build tools accelerate builds, yet prior work shows that teams may abandon them for alternatives that are easier to maintain. While prior work shows why downgrades …
Version Control Systems (VCS) like Git allow developers to locally rewrite recorded history, e.g., to reorder and suppress commits or specific data in them. These alterations have legitimate use cases, but become problematic when performed on public branches that have downstream …
Large Language Models (LLMs) have demonstrated significant capability in code generation, but their potential in code efficiency optimization remains underexplored. Previous LLM-based code efficiency optimization approaches exclusively focus on function-level optimization and ove…
Neural networks have become integral to many fields due to their exceptional performance. The open-source community has witnessed a rapid influx of neural network (NN) repositories with fast-paced iterations, making it crucial for practitioners to analyze their evolution to guide…
Large language models (LLMs) are increasingly integrated into autonomous systems, giving rise to a new class of software known as Agentware, where LLM-powered agents perform complex, open-ended tasks in domains such as software engineering, customer service, and data analysis. Ho…
Identifying the impact scope and scale is critical for software supply chain vulnerability assessment. However, existing studies face substantial limitations. First, prior studies either work at coarse package-level granularity—producing many false positives—or fail to accomplish…
Large Language Models (LLMs) have revolutionized AI, yet their inherent uncertainties pose significant challenges to reliable deployment. This paper presents a comprehensive systematic review of uncertainty in LLMs, bridging theoretical foundations and cutting-edge methodologies.…
Fuzz testing has proven effective in discovering nontrivial bugs in complex, real-world systems, with coverage-guided greybox fuzzing being a key contributor to this success. Existing research has largely focused on developing new heuristics to increase code coverage, and current…
Testing Graphical User Interface applications in non-graphical environments is challenging, especially for auto-graders in large-scale programming courses, where traditional approaches often depend on a graphical operating system. This paper presents a headless testing approach t…
Large Language Models (LLMs) increasingly power critical business processes, yet prompt robustness remains under-explored. Small variations—such as synonym changes or instruction reordering—can cause significant output shifts, undermining reliability in domains like customer serv…
Training-as-a-service platforms facilitate users to deploy pre-configured Generative AI training jobs as batch workloads. The immutability of configuration offers minimal flexibility to dynamically adapt to training progress. Existing approaches invariably involve manually monito…
Equity, diversity, and inclusion in software engineering often overlook neurodiversity, particularly the experiences of developers with Attention Deficit Hyperactivity Disorder (ADHD). Despite the growing awareness about that population in SE, few tools are designed to support th…
System tracing has become essential for understanding complex software behavior in modern systems, yet sophisticated trace analysis tools face significant adoption gaps in industrial settings. Through a year-long collaboration with Ericsson Montreal, developing TMLL (Trace-Server…