English
Related papers

Related papers: Automated Dynamic Concurrency Analysis for Go

200 papers

We provide a taxonomy of concurrency models for BDI frameworks, elicited by analysing state-of-the-art technologies, and aimed at helping both BDI designers and developers in making informed decisions. Comparison among BDI technologies…

Multiagent Systems · Computer Science 2025-01-30 Martina Baiardi , Samuele Burattini , Giovanni Ciatto , Danilo Pianini , Andrea Omicini , Alessandro Ricci

Business processes need to have certain constraints such that they can lead to sustainable outcomes. These constraints can be manifold and their adherence has to be monitored. In the past compliance checking has been applied in several…

Computers and Society · Computer Science 2020-06-19 Clemens Schreiber

Dynamic Information Flow Tracking (DIFT) is a technique to track potential security vulnerabilities in software and hardware systems at run time. The last fifteen years have seen a lot of research work on DIFT, including both hardware-based…

Cryptography and Security · Computer Science 2019-11-14 Ali Jahanshahi

For data-centric systems, provenance tracking is particularly important when the system is open and decentralised, such as the Web of Linked Data. In this paper, a concise but expressive calculus which models data updates is presented. The…

Distributed, Parallel, and Cluster Computing · Computer Science 2012-08-24 Gabriel Ciobanu , Ross Horne

Modern software projects include automated tests written to check the programs' functionality. The set of functions invoked by a test is called the trace of the test, and the action of obtaining a trace is called tracing. There are many…

Software Engineering · Computer Science 2019-09-10 Eyal Hadad , Roni Stern

Happens before-based dynamic analysis is the go-to technique for detecting data races in large scale software projects due to the absence of false positive reports. However, such analyses are expensive since they employ expensive vector…

Programming Languages · Computer Science 2025-06-26 Mosaad Al Thokair , Minjian Zhang , Umang Mathur , Mahesh Viswanathan

In autonomous and mobile robotics, a principal challenge is resilient real-time environmental perception, particularly in situations characterized by unknown and dynamic elements, as exemplified in the context of autonomous drone racing.…

Robotics · Computer Science 2024-05-03 Zhongzheng Qiao , Xuan Huy Pham , Savitha Ramasamy , Xudong Jiang , Erdal Kayacan , Andriy Sarabakha

Over the last decade, the use of autonomous drone systems for surveying, search and rescue, or last-mile delivery has increased exponentially. With the rise of these applications comes the need for highly robust, safety-critical algorithms…

This study provides a detailed analysis of current advancements in dynamic object tracking (DOT) and trajectory prediction (TP) methodologies, including their applications and challenges. It covers various approaches, such as feature-based,…

Computer Vision and Pattern Recognition · Computer Science 2025-06-25 Zhongping Dong , Liming Chen , Mohand Tahar Kechadi

Researchers have developed numerous debugging approaches to help programmers in the debugging process, but these approaches are rarely used in practice. In this paper, we investigate how programmers debug their code and what researchers…

Software Engineering · Computer Science 2021-03-24 Thomas Hirsch , Birgit Hofer

As modern software systems continue to grow in complexity, triage has become a fundamental process in system operations and maintenance. Triage aims to efficiently prioritize, assign, and assess issues to ensure the reliability of complex…

Software Engineering · Computer Science 2025-11-13 Yongxin Zhao , Shenglin Zhang , Yujia Wu , Yuxin Sun , Yongqian Sun , Dan Pei , Chetan Bansal , Minghua Ma

Dogfight is a tactical behavior of cooperation between fighters. Inspired by this, this paper proposes a novel metaphor-free metaheuristic algorithm called Dogfight Search (DoS). Unlike traditional algorithms, DoS draws algorithmic…

Artificial Intelligence · Computer Science 2026-03-31 Yujing Sun , Jie Cai , Xingguo Xu , Yuansheng Gao , Lei Zhang , Kaichen Ouyang , Zhanyu Liu

In this paper we propose a new parallel algorithm for solving global optimization (GO) multidimensional problems. The method unifies two powerful approaches for accelerating the search: parallel computations and local tuning on the behavior…

Optimization and Control · Mathematics 2011-03-31 Yaroslav D. Sergeyev

Runtime predictive analyses enhance coverage of traditional dynamic analyses based bug detection techniques by identifying a space of feasible reorderings of the observed execution and determining if any of these witnesses the violation of…

Programming Languages · Computer Science 2024-05-20 Zhendong Ang , Umang Mathur

Debugging consumes a substantial portion of the software development lifecycle, yet the effectiveness of Large Language Models(LLMs) in this task is not well understood. Competitive programming offers a rich benchmark for such evaluation,…

Software Engineering · Computer Science 2026-03-23 Nabiha Parvez , Tanvin Sarkar Pallab , Mia Mohammad Imran , Tarannum Shaila Zaman

Assessing the correctness of distributed and parallel applications is notoriously difficult due to the complexity of the concurrent behaviors and the difficulty to reproduce bugs. In this context, Dynamic Partial Order Reduction (DPOR)…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-05-15 Matthieu Laurent , Thierry Jéron , Martin Quinson

The consequences of data races can be potentially very problematic [1], and it is important to determine what tools and methods are best at detecting them. The following conditions must be met for a data race to occur: two or more threads…

Databases · Computer Science 2022-06-22 Danial Entezari

The existence of trace links between artifacts of the software development life cycle can improve the efficiency of many activities during software development, maintenance and operations. Unfortunately, the creation and maintenance of…

Software Engineering · Computer Science 2023-07-18 Christof Tinnes

We process a large corpus of game records of the board game of Go and propose a way of extracting summary information on played moves. We then apply several basic data-mining methods on the summary information to identify the most…

Artificial Intelligence · Computer Science 2012-09-25 Petr Baudiš , Josef Moudřík

In this article I describe a research agenda for securing machine learning models against adversarial inputs at test time. This article does not present results but instead shares some of my thoughts about where I think that the field needs…

Machine Learning · Computer Science 2019-03-18 Ian Goodfellow