26,098 papers · page 232 of 1,305
Assigning appropriate developers to the bugs is one of the main challenges in bug triage. Demands for automatic bug triage are increasing in the industry, as manual bug triage is labor-intensive and time-consuming in large projects. The key to the bug triage task is extracting se…
Competitive programming has become a popular way for programmers to test their skills. Competition-level programming problems are challenging in nature, and participants often fail to solve the problem on their first attempt. Some online platforms for competitive programming allo…
Smart contracts are gaining popularity as a means to support transparent, traceable, and self-executing decentralized applications, which enable the exchange of value in a trustless environment. Developers of smart contracts rely on various libraries, such as OpenZeppelin for Sol…
Dynamic program analysis tools such as Eraser, TaintCheck, or ThreadSanitizer abstract the contents of individual memory locations and store the abstraction results in a separate data structure called shadow memory. They then use this meta-information to efficiently implement the…
Code summarization generates brief natural language descriptions of source code pieces, which can assist developers in understanding code and reduce documentation workload. Recent neural models on code summarization are trained and evaluated on large-scale multi-project datasets …
C has been regarded as a dominant programming language for system software implementation. Meanwhile, it often suffers from various memory vulnerabilities due to its low-level memory control. Quite massive approaches are proposed to enhance memory security, among which Coverage-b…
Smart contracts have been widely and rapidly used to automate financial and business transactions together with blockchains, helping people make agreements while minimizing trusts. With millions of smart contracts deployed on blockchain, various bugs and vulnerabilities in smart …
Autonomous driving systems (ADSs) must be tested thoroughly before they can be deployed in autonomous vehicles. High-fidelity simulators allow them to be tested against diverse scenarios, including those that are difficult to recreate in real-world testing grounds. While previous…
We present Trimmer, a state-of-the-art tool for reducing code size. Trimmer reduces code sizes by specializing programs with respect to constant inputs provided by developers. The static data can be provided as command-line options or through configuration files. The constants de…
Very large language models (LLMs), such as GPT-3 and Codex have achieved state-of-the-art performance on several natural-language tasks, and show great promise also for code. A particularly exciting aspect of LLMs is their knack for few-shot and zero-shot learning: they can learn…
Deploying applications on hybrid clouds with computational artifacts distributed over public backends and private edges involve several constraints. Designing such deployment requires application architects to solve several challenges, spanning over hard regulatory policy constra…
We developed a plugin for IntelliJ IDEA called AntiCopyPaster, which tracks the pasting of code fragments inside the IDE and suggests the appropriate Extract Method refactoring to combat the propagation of duplicates. Unlike the existing approaches, our tool is integrated with th…
Dynamic taint analysis (DTA) is a popular approach to help protect JavaScript applications against injection vulnerabilities. In 2016, the ECMAScript 7 JavaScript language standard introduced many language features that most existing DTA tools for JavaScript do not support, e.g.,…
Recommender systems (RSs) are increasingly being used to help in all sorts of software engineering tasks, including modelling. However, building a RS for a modelling notation is costly. This is especially detrimental for development paradigms that rely on domain-specific language…
As IoT systems are given more responsibility and autonomy, they offer greater benefits, but also carry greater risks. We believe this trend invigorates an old challenge of software engineering: how to develop high-risk software-intensive systems safely and securely under market p…
In the context of user interface-oriented software development, the task of translating a GUI into code requires sufficient knowledge to identify visual elements and how to code it for one or more platforms. In addition, other issues are important, such as reuse, componentization…
In the process of developing software, code review is crucial. By identifying problems before they arise in production, it enhances the quality of the code. Finding the best reviewer for a code change, however, is extremely challenging especially in large scale, especially open s…
Secure software development has become an increasingly important focus for research in recent years, not least because of advances in technology such as AI, machine learning (AI/ML), robotics, and autonomous systems (RAS). AI/ML and RAS facilitate automated decision-making and ha…
Greybox fuzzing is a proven and effective testing method for the detection of security vulnerabilities and other bugs in modern software systems. Greybox fuzzing can also be used in combination with a sanitizer, such as AddressSanitizer (ASAN), to further enhance the detection of…
In today’s IT environment with a growing number of costly outages, increasing complexity of the systems, and availability of massive operational data, there is a strengthening demand to effectively leverage Artificial Intelligence and Machine Learning (AI/ML) towards enhanced res…