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Software systems development nowadays has moved towards dynamic composition of services that run on distributed infrastructures aligned with continuous changes in the system requirements. Consequently, software developers need to tailor…

Software Engineering · Computer Science 2020-05-12 Mahdi Fahmideh , Mohsen Sharifi , Fereidoon Shams , Hasan Haghighi

Semantic properties are domain-specific specification constructs used to augment an existing language with richer semantics. These properties are taken advantage of in system analysis, design, implementation, testing, and maintenance…

Software Engineering · Computer Science 2007-05-23 Joseph R. Kiniry

Real-time databases deal with time-constrained data and time-constrained transactions. The design of this kind of databases requires the introduction of new concepts to support both data structures and the dynamic behaviour of the database.…

Databases · Computer Science 2010-02-25 Nizar Idoudi , Nada louati , Claude Duvallet , Bruno Sadeg , Rafik Bouaziz , Faiez Gargouri

This paper describes an implemented system which is designed to support the deployment of applications offering distributed services, comprising a number of distributed components. This is achieved by creating high level placement and…

Distributed, Parallel, and Cluster Computing · Computer Science 2010-06-24 Alan Dearle , Graham Kirby , Andrew McCarthy , Juan-Carlos Diaz y Carballo

Adaptive Computing is an application-agnostic outer loop framework to strategically deploy simulations and experiments to guide decision making for scale-up analysis. Resources are allocated over successive batches, which makes the…

Nowadays, many decision support applications need to exploit data that are not only numerical or symbolic, but also multimedia, multistructure, multisource, multimodal, and/or multiversion. We term such data complex data. Managing and…

Databases · Computer Science 2007-07-12 Jérôme Darmont , Omar Boussaid , Jean-Christian Ralaivao , Kamel Aouiche

Recent studies have proposed unified user modeling frameworks that leverage user behavior data from various applications. Many of them benefit from utilizing users' behavior sequences as plain texts, representing rich information in any…

Information Retrieval · Computer Science 2023-05-16 Kyuyong Shin , Hanock Kwak , Wonjae Kim , Jisu Jeong , Seungjae Jung , Kyung-Min Kim , Jung-Woo Ha , Sang-Woo Lee

Datasets play a central role in the training and evaluation of machine learning (ML) models. But they are also the root cause of many undesired model behaviors, such as biased predictions. To overcome this situation, the ML community is…

Machine Learning · Computer Science 2024-01-23 Joan Giner-Miguelez , Abel Gómez , Jordi Cabot

The development of self-adaptive software requires the engineering of proper feedback loops where an adaptation logic controls the underlying software. The adaptation logic often describes the adaptation by using runtime models representing…

Software Engineering · Computer Science 2018-05-23 Thomas Vogel , Holger Giese

Domain specific software architecture aims at software reuse through construction of domain architecture reference model. The constructed reference model presents a set of individual components and their interaction points. When starting on…

Software Engineering · Computer Science 2008-11-06 Anshuman Sinha , Haritha Nandela , Vijaya Balakrishna

Requirements specification patterns have received much attention as they promise to guide the structured specification of natural language requirements. By using them, the intention is to reduce quality problems related to requirements…

Software Engineering · Computer Science 2024-04-29 T. Chuprina , D. Méndez , V. Nigam , M. Reich , A. Schweiger

The Unified Modelling Language is emerging as a de-facto standard for modelling object-oriented systems. However, the semantics document that a part of the standard definition primarily provides a description of the language's syntax and…

Software Engineering · Computer Science 2014-09-25 Andy Evans , Kevin Lano , Robert France , Bernhard Rumpe

Purpose - This paper presents a methodology for defining and modeling context-awareness and describing efficiently the interactions between systems, applications and their context. Also the relation of modern context-aware systems with…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-05-12 Panteleimon Rodis

Accurate representation of procedures in restricted scenarios, such as non-standardized scientific experiments, requires precise depiction of constraints. Unfortunately, Domain-specific Language (DSL), as an effective tool to express…

Robotics · Computer Science 2024-10-31 Yu-Zhe Shi , Haofei Hou , Zhangqian Bi , Fanxu Meng , Xiang Wei , Lecheng Ruan , Qining Wang

Domain experts are increasingly employing machine learning to solve their domain-specific problems. This article presents six key challenges that a domain expert faces in transforming their problem into a computational workflow, and then…

Software Engineering · Computer Science 2023-12-27 Bentley James Oakes , Michalis Famelis , Houari Sahraoui

Automatic or assisted workflow composition is a field of intense research for applications to the world wide web or to business process modeling. Workflow composition is traditionally addressed in various ways, generally via theorem proving…

Artificial Intelligence · Computer Science 2007-05-23 Patrick Albert , Laurent Henocque , Mathias Kleiner

The development and maintenance of cloud software is complicated by complex but crucial technological requirements that are tightly coupled with each other and with the softwares actual business functionality. Consequently, the complexity…

Software Engineering · Computer Science 2014-08-26 Antonio Navarro Perez , Bernhard Rumpe

This study contributes to the literature by considering the difference in vocabulary used to express document content and information needs. Users are integrated into all research phases in order to provide them with relevant information…

Information Retrieval · Computer Science 2024-05-28 Minyar Sassi Hidri

We consider deep multivariate models for heterogeneous collections of random variables. In the context of computer vision, such collections may e.g. consist of images, segmentations, image attributes, and latent variables. When developing…

Machine Learning · Computer Science 2026-02-03 Dmitrij Schlesinger , Boris Flach , Alexander Shekhovtsov

Normative non-functional requirements specify constraints that a system must observe in order to avoid violations of social, legal, ethical, empathetic, and cultural norms. As these requirements are typically defined by non-technical system…

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