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Design of cyber-physical systems (CPSs) is a challenging task that involves searching over a large search space of various CPS configurations and possible values of components composing the system. Hence, there is a need for…

Machine Learning · Computer Science 2020-09-28 Prerit Terway , Kenza Hamidouche , Niraj K. Jha

With the increasing prevalence of chiplet systems in high-performance computing applications, the number of design options has increased dramatically. Instead of chips defaulting to a single die design, now there are options for 2.5D and 3D…

Hardware Architecture · Computer Science 2025-03-21 Alexander Graening , Jonti Talukdar , Saptadeep Pal , Krishnendu Chakrabarty , Puneet Gupta

The vast number of interleavings that a concurrent program can have is typically identified as the root cause of the difficulty of automatic analysis of concurrent software. Weak memory is generally believed to make this problem even…

Logic in Computer Science · Computer Science 2013-01-09 Jade Alglave , Daniel Kroening , Michael Tautschnig

Background: This invited paper is the result of an invitation to write a retrospective article on a "TSE most influential paper" as part of the journal's 50th anniversary. Objective: To reflect on the progress of software engineering…

Software Engineering · Computer Science 2025-01-31 Martin Shepperd

Crowdsourced Software Engineering (CSE) offers outsourcing work to software practitioners by leveraging a global online workforce. However, these software practitioners struggle to identify suitable tasks due to the variety of options…

Software Engineering · Computer Science 2025-03-19 Shashiwadana Nirmani , Mojtaba Shahin , Hourieh Khalajzadeh , Xiao Liu

We consider the problem of learning structures and parameters of Continuous-time Bayesian Networks (CTBNs) from time-course data under minimal experimental resources. In practice, the cost of generating experimental data poses a bottleneck,…

Machine Learning · Statistics 2022-01-12 Dominik Linzner , Heinz Koeppl

The growing complexity of safety-relevant systems causes an increasing effort for safety assurance. The reduction of development costs and time-to-market, while guaranteeing safe operation, is therefore a major challenge. In order to enable…

Software Engineering · Computer Science 2021-06-08 Sebastian Reiter , Marc Zeller , Kai Hoefig , Alexander Viehl , Oliver Bringmann , Wolfgang Rosenstiel

Collaboration is used in Software Engineering (SE) to develop software. Industry seeks SE graduates with collaboration skills to contribute to productive software development. SE educators can use Collaborative Learning (CL) to help…

Software Engineering · Computer Science 2023-10-31 Rita Garcia , Christoph Treude , Andrew Valentine

Empirical software engineering is concerned with measuring, or estimating, both the effort put into the software process and the quality of its product. We defend the idea that measuring process effort and product quality and establishing a…

Human-Computer Interaction · Computer Science 2016-08-16 Françoise Détienne , Jean-Marie Burkhardt , Willemien Visser

Software development effort estimation (SDEE) is one of the main tasks in software project management. It is crucial for a project manager to efficiently predict the effort or cost of a software project in a bidding process, since…

Software Engineering · Computer Science 2017-08-23 Ali Bou Nassif , Mohammad Azzeh , Luiz Fernando Capretz , Danny Ho

Simulation-based inference (SBI) is the preferred framework for estimating parameters of intractable models in science and engineering. A significant challenge in this context is the large computational cost of simulating data from complex…

Machine Learning · Statistics 2025-02-18 Ayush Bharti , Daolang Huang , Samuel Kaski , François-Xavier Briol

Models for effort and cost estimation are important for distributed software development as well as for collocated software and system development. Standard cost models only insufficiently consider the characteristics of distributed…

Software Engineering · Computer Science 2014-01-14 Ansgar Lamersdorf , Jürgen Münch , Alicia Fernández-del Viso Torre , Carlos Rebate Sánchez , Dieter Rombach

We consider a framework for structured prediction based on search in the space of complete structured outputs. Given a structured input, an output is produced by running a time-bounded search procedure guided by a learned cost function, and…

Machine Learning · Computer Science 2012-07-03 Janardhan Rao Doppa , Alan Fern , Prasad Tadepalli

We consider the problem of collaborative bearing estimation using a method with historic roots in set theoretic estimation techniques. We refer to this method as the Convex Combination Ellipsoid (CCE) method and show that it provides a less…

Information Theory · Computer Science 2023-04-18 Mohammad Zamani , Jochen Trumpf , Chris Manzie

Sales forecasting plays a prominent role in business planning and business strategy. The value and importance of advance information is a cornerstone of planning activity, and a well-set forecast goal can guide sale-force more efficiently.…

Machine Learning · Statistics 2017-05-17 Qiuping Xu , Vikas Sharma

The present level of development of molecular force field methods is assessed from the point of view of simulation-based engineering, outlining the immediate perspective for further development and highlighting the newly emerging discipline…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-05-22 Martin Horsch , Christoph Niethammer , Jadran Vrabec , Hans Hasse

Context engineering has emerged as a pivotal paradigm for unlocking the potential of Large Language Models (LLMs) in Software Engineering (SE) tasks, enabling performance gains at test time without model fine-tuning. Despite its success,…

Software Engineering · Computer Science 2026-04-07 Haichuan Hu , Quanjun Zhang , Ye Shang , Guoqing Xie , Chunrong Fang , Zhenyu Chen , Liang Xiao

In mobile edge computing systems, base stations (BSs) equipped with edge servers can provide computing services to users to reduce their task execution time. However, there is always a conflict of interest between the BS and users. The BS…

Machine Learning · Computer Science 2024-07-08 Yiming Chen , Xingyuan Hu , Bo Gu , Shimin Gong , Zhou Su

Search-based software engineering (SBSE), which integrates metaheuristic search techniques with software engineering, has been an active area of research for about 25 years. It has been applied to solve numerous problems across the entire…

Software Engineering · Computer Science 2026-05-07 Hassan Sartaj , Shaukat Ali , Paolo Arcaini , Andrea Arcuri

Computer experiments with both qualitative and quantitative factors are widely used in many applications. Motivated by the emerging need of optimal configuration in the high-performance computing (HPC) system, this work proposes a…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-01-08 Xia Cai , Li Xu , C. Devon Lin , Yili Hong , Xinwei Deng
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