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Related papers: Formalizing typical crosscutting concerns

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The paper briefly describes a basic set of special combinatorial engineering frameworks for solving complex problems in the field of hierarchical modular systems. The frameworks consist of combinatorial problems (and corresponding models),…

Optimization and Control · Mathematics 2013-04-02 Mark Sh. Levin

Typical design flows are hierarchical and rely on assembling many individual technology elements from standard cells to complete boards. Providers use compact models to provide simplified views of their products to their users. Designers…

Hardware Architecture · Computer Science 2021-04-23 Dan Alexandrescu , Aneesh Balakrishnan , Thomas Lange , Maximilien Glorieux

Classical planning representation languages based on first-order logic have preliminarily been used to model and solve robotic task planning problems. Wider adoption of these representation languages, however, is hindered by the limitations…

Artificial Intelligence · Computer Science 2023-11-16 Angeline Aguinaldo , Evan Patterson , James Fairbanks , William Regli , Jaime Ruiz

Requirements engineering plays a critical role in developing software systems. One of the most difficult tasks in this process is identifying functional requirements. A critical problem in many projects is missing requirements until late in…

Software Engineering · Computer Science 2020-04-02 Sabah Al-Fedaghi

Version control systems are integral to software development, with GitHub emerging as a popular online platform due to its comprehensive project management tools, including issue tracking and pull requests. However, GitHub lacks a direct…

Software Engineering · Computer Science 2024-07-31 Rifat Ara Proma , Paul Rosen

Cross-domain Recommendation (CDR) aims to alleviate the data sparsity and the cold-start problems in traditional recommender systems by leveraging knowledge from an informative source domain. However, previously proposed CDR models pursue…

Information Retrieval · Computer Science 2024-10-01 Binbin Hu , Weifan Wang , Hanshu Wang , Ziqi Liu , Bin Shen , Yong He , Jiawei Chen

Cloud-enabled large-scale distributed systems orchestrate resources and services from various providers in order to deliver high-quality software solutions to the end users. The space and structure created by such technological advancements…

Software Engineering · Computer Science 2018-08-14 Andreea Buga , Sorana Tania Nemes , Atif Mashkoor

Concept maps can be used to concisely represent important information and bring structure into large document collections. Therefore, we study a variant of multi-document summarization that produces summaries in the form of concept maps.…

Computation and Language · Computer Science 2017-07-24 Tobias Falke , Iryna Gurevych

This paper discusses some generic approach for developing grid-based framework for enabling establishment of workflows comprising existing software in computational sciences areas. We highlight the main requirements addressed the developing…

Distributed, Parallel, and Cluster Computing · Computer Science 2011-06-21 Vladimir Berezovsky , Alexander Popov

The paper addresses aggregation issues for composite (modular) solutions. A systemic view point is suggested for various aggregation problems. Several solution structures are considered: sets, set morphologies, trees, etc. Mainly, the…

Software Engineering · Computer Science 2011-12-01 Mark Sh. Levin

The structures for the expression of fault-tolerance provisions into the application software are the central topic of this paper. Structuring techniques answer the questions "How to incorporate fault-tolerance in the application layer of a…

Software Engineering · Computer Science 2015-04-14 Vincenzo De Florio , Chris Blondia

In domains with high knowledge distribution a natural objective is to create principle foundations for collaborative interactive learning environments. We present a first mathematical characterization of a collaborative learning group, a…

Artificial Intelligence · Computer Science 2020-08-26 Tom Hanika , Jens Zumbrägel

Consensus clustering fuses diverse basic partitions (i.e., clustering results obtained from conventional clustering methods) into an integrated one, which has attracted increasing attention in both academic and industrial areas due to its…

Machine Learning · Computer Science 2019-06-04 Hongfu Liu , Zhiqiang Tao , Zhengming Ding

Consensus is an often occurring problem in concurrent and distributed programming. We present a programming language with simple semantics and build-in support for consensus in the form of communicating transactions. We motivate the need…

Programming Languages · Computer Science 2013-05-08 Carlo Spaccasassi , Vasileios Koutavas

Coreference resolution across multiple documents poses a significant challenge in natural language processing, particularly within the domain of knowledge graphs. This study introduces an innovative method aimed at identifying and resolving…

Computation and Language · Computer Science 2025-04-09 Zhang Dong , Mingbang Wang , Songhang deng , Le Dai , Jiyuan Li , Xingzu Liu , Ruilin Nong

Secure by Design has become the mainstream development approach ensuring that software systems are not vulnerable to cyberattacks. Architectural security controls need to be carefully monitored over the software development life cycle to…

Software Engineering · Computer Science 2023-07-13 Ahmet Okutan , Ali Shokri , Viktoria Koscinski , Mohamad Fazelinia , Mehdi Mirakhorli

In this work we propose a decomposition approach to solve the quay crane scheduling problem. This is an important maritime transportation problem faced in container terminals where quay cranes are used to handle cargo. The objective is to…

Optimization and Control · Mathematics 2016-04-05 Afonso Sampaio , Sebastián Urrutia , Johan Oppen

We consider a distributed source coding system in which several observations are communicated to the decoder using limited transmission rate. The observations must be separately coded. We introduce a robust distributed coding scheme which…

Information Theory · Computer Science 2007-07-13 Jun Chen , Toby Berger

Compositionality is a key strategy for addressing combinatorial complexity and the curse of dimensionality. Recent work has shown that compositional solutions can be learned and offer substantial gains across a variety of domains, including…

Machine Learning · Computer Science 2019-04-30 Clemens Rosenbaum , Ignacio Cases , Matthew Riemer , Tim Klinger

In many cases we need to represent on the same abstraction level not only system components but also processes within the system, and if for both representation different frameworks are used, the system model becomes hard to read and to…

Software Engineering · Computer Science 2015-03-12 Maria Spichkova , Heinz Schmidt
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