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Tracking causality (or happened-before relation) between events is useful for many applications such as debugging and recovery from failures. Consider a concurrent system with $n$ threads and $m$ objects. For such systems, either a vector…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-01-23 Xiong Zheng , Vijay Garg

When optimizing a thread in a concurrent program (either done manually or by the compiler), it must be guaranteed that the resulting thread is a refinement of the original thread. Most theories of valid optimizations are formulated in terms…

Programming Languages · Computer Science 2015-10-27 Daniel Poetzl , Daniel Kroening

Correctness of multi-threaded programs typically requires that they satisfy liveness properties. For example, a program may require that no thread is starved of a shared resource, or that all threads eventually agree on a single value. This…

Logic in Computer Science · Computer Science 2016-05-10 Azadeh Farzan , Zachary Kincaid , Andreas Podelski

Current runtime verification tools seldom make use of multi-threading to speed up the evaluation of a property on a large event trace. In this paper, we present an extension to the BeepBeep 3 event stream engine that allows the use of…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-07-11 Sylvain Hallé , Raphaël Khoury , Sébastien Gaboury

Threads and events are two common abstractions for writing concurrent programs. Because threads are often more convenient, but events more efficient, it is natural to want to translate the former into the latter. However, whereas there are…

Programming Languages · Computer Science 2012-10-18 Matthieu Boutier , Gabriel Kerneis

Context-bounded analysis has been shown to be both efficient and effective at finding bugs in concurrent programs. According to its original definition, context-bounded analysis explores all behaviors of a concurrent program up to some…

Logic in Computer Science · Computer Science 2015-07-01 Mohamed Faouzi Atig , Ahmed Bouajjani , Shaz Qadeer

Dynamic techniques are a scalable and effective way to analyze concurrent programs. Instead of analyzing all behaviors of a program, these techniques detect errors by focusing on a single program execution. Often a crucial step in these…

Logic in Computer Science · Computer Science 2025-09-16 Umang Mathur , Andreas Pavlogiannis , Hünkar Can Tunç , Mahesh Viswanathan

Survival analysis is an essential tool for the study of health data. An inherent component of such data is the presence of missing values. In recent years, researchers proposed new learning algorithms for survival tasks based on neural…

Machine Learning · Statistics 2023-03-27 Paul Dufossé , Sébastien Benzekry

A great variety of static analyses that compute safety properties of single-thread programs have now been developed. This paper presents a systematic method to extend a class of such static analyses, so that they handle programs with…

Programming Languages · Computer Science 2009-11-02 Jean-Loup Carre , Charles Hymans

Code data has been shown to enhance the reasoning capabilities of large language models (LLMs), but it remains unclear which aspects of code are most responsible. We investigate this question with a systematic, data-centric framework. We…

Computation and Language · Computer Science 2025-10-03 Abdul Waheed , Zhen Wu , Carolyn Rosé , Daphne Ippolito

Query processing in search engines can be optimized for use for all queries. For this, system component parameters such as the weighting function or the automatic query expansion model can be optimized or learned from past queries. However,…

Information Retrieval · Computer Science 2023-02-23 Josiane Mothe , Md Zia Ullah

When simultaneously reasoning with evidences about several different events it is necessary to separate the evidence according to event. These events should then be handled independently. However, when propositions of evidences are weakly…

Artificial Intelligence · Computer Science 2007-05-23 Johan Schubert

Large language models (LLMs) have achieved remarkable progress in code generation, largely driven by the availability of high-quality code datasets for effective training. To further improve data quality, numerous training data optimization…

Software Engineering · Computer Science 2026-01-01 Shiqi Kuang , Zhao Tian , Tao Xiao , Dong Wang , Junjie Chen

Event data is present in a variety of domains such as electronic health records, daily living activities and web clickstream records. Current visualization methods to explore event data focus on discovering sequential patterns but present…

Human-Computer Interaction · Computer Science 2019-08-05 Jessica Magallanes , Lindsey van Gemeren , Steven Wood , Maria-Cruz Villa-Uriol

Survival analysis studies and predicts the time of death, or other singular unrepeated events, based on historical data, while the true time of death for some instances is unknown. Survival trees enable the discovery of complex nonlinear…

Machine Learning · Computer Science 2024-01-10 Tim Huisman , Jacobus G. M. van der Linden , Emir Demirović

Multi-thread applications commonly utilize condition variables for communication between threads. Condition variables allow threads to block and wait until a certain condition holds, and also enable threads to wake up their blocked peers…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-05-17 Dave Dice , Alex Kogan

Threads as considered in basic thread algebra are primarily looked upon as behaviours exhibited by sequential programs on execution. It is a fact of life that sequential programs are often fragmented. Consequently, fragmented program…

Logic in Computer Science · Computer Science 2011-06-17 J. A. Bergstra , C. A. Middelburg

This paper presents a new approach for optimizing multitheaded programs with pointer constructs. The approach has applications in the area of certified code (proof-carrying code) where a justification or a proof for the correctness of each…

Software Engineering · Computer Science 2012-12-21 Mohamed A. El-Zawawy

Although event logs are a powerful source to gain insight about the behavior of the underlying business process, existing work primarily focuses on finding patterns in the activity sequences of an event log, while ignoring event attribute…

Machine Learning · Computer Science 2023-12-25 Marco Bjarne Schuster , Boris Wiegand , Jilles Vreeken

Making threaded programs safe and easy to reason about is one of the chief difficulties in modern programming. This work provides an efficient execution model for SCOOP, a concurrency approach that provides not only data race freedom but…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-07-28 Scott West , Sebastian Nanz , Bertrand Meyer
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