236,897 research outputs found

    Web Services as Product Experience Augmenters and the Implications for Requirements Engineering: A Position Paper

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    There is currently little insight into what requirement engineering for web services is and in which context it will be carried out. In this position paper, we investigate requirements engineering for a special kind of web services, namely web services that are used to augment the perceived value of a primary service or product that is itself not a web service. We relate requirements engineering to a common enterprise architecture pattern and derive from this a number of research questions for further study

    Process-oriented Enterprise Mashups

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    Mashups, a new Web 2.0 technology provide the ability for easy creation of Web-Based applications by end-users. The uses of the mashups are often consumer related. In this paper we explore how mashups can be used in the enterprise area and hat the criteria for enterprise mashups are. We provide categories for the classification of enterprise mashups, and based upon a motivating example we go further in depth on business process enterprise mashup

    From service-oriented architecture to service-oriented enterprise

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    Service-Oriented Architecture (SOA) was originally motivated by enterprise demands for better business-technology alignment and higher flexibility and reuse. SOA evolved from an initial set of ideas and principles to Web services (WS) standards now widely accepted by industry. The next phase of SOA development is concerned with a scalable, reliable and secure infrastructure based on these standards, and guidelines, methods and techniques for developing and maintaining service delivery in dynamic enterprise settings. In this paper we discuss the principles and main elements of SOA. We then present an overview of WS standards. And finally we come back to the original motivation for SOA, and how these can be realized

    A goal-oriented requirements modelling language for enterprise architecture

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    Methods for enterprise architecture, such as TOGAF, acknowledge the importance of requirements engineering in the development of enterprise architectures. Modelling support is needed to specify, document, communicate and reason about goals and requirements. Current modelling techniques for enterprise architecture focus on the products, services, processes and applications of an enterprise. In addition, techniques may be provided to describe structured requirements lists and use cases. Little support is available however for modelling the underlying motivation of enterprise architectures in terms of stakeholder concerns and the high-level goals that address these concerns. This paper describes a language that supports the modelling of this motivation. The definition of the language is based on existing work on high-level goal and requirements modelling and is aligned with an existing standard for enterprise modelling: the ArchiMate language. Furthermore, the paper illustrates how enterprise architecture can benefit from analysis techniques in the requirements domain

    Position paper : solutions

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    FOOD DISTRIBUTION RESEARCH FOR DEVELOPING COUNTRIES: POSITION PAPER

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    Identification of major food distribution research needs in developing countries and description of roles for government, educational institutions and quasi-public research foundations in fulfilling their needs.Marketing,

    Consumer Centric Data Control, Tracking and Transparency - A Position Paper

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    Personal data related to a user's activities, preferences and services, is considered to be a valuable commodity not only for a wide range of technology-oriented companies like Google, Amazon and Apple but also for more traditional companies like travel/transport, banking, entertainment and marketing industry. This has resulted in more targeted and to a great extend personalised services for individuals -- in most cases at a minimal financial cost to them. The operational reality upon which a user authorises companies to collect his/her personal data to receive, in return, more personalised/targeted/context-aware services and hassle-free activities (for users) is widely deployed. It becomes evident that the security, integrity and accessibility of the collected data are of paramount importance. These characteristics are becoming more entrenched in the era of Internet-of-Things (IoT), autonomous vehicles and seamless travel. In this position paper, we examine the challenges faced by both users and organisations in dealing with the Personal Identifiable Information (PII). Furthermore, we expand on the implications of the General Data Protection Regulation (GDPR) specifically for the management of the PII. Subsequently, we extend the discussion to future technologies, especially the IoT and integrated transport systems for better customer experience -- and their ramification on the data governance and PII management. Finally, we propose a framework that balances user's privacy and data control with an organisation's objective of delivering quality, targeted and efficient services to their customers using the "collected user data". This framework is referred to as "Consumer Oriented Data Control \& Auditability" (CODCA) and defines the technologies that are adapted to privacy concerns and legal/regulation-frameworks.Comment: 10 Pages, 2 Figures, Conferenc

    Enterprise architecture framework oriented to cloud computing services

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    Cloud Computing (CC) is a computing infrastructure paradigm that provides elasticity to software or hardware solutions on organizations, and is more powerful than traditional architectures for storage, processing, and distribution of data. Meanwhile, Enterprise Architecture (EA) describes organization's structure and allows assurance its objectives. Recent studies face to integration of EA with CC convergence analysis between EA and CC is required to facilitate true integration in organization. This paper aims contribute to reduce the EA and CC gap. Analysis of importance and benefits of EA-CC integrated approach is presented, beside a proposed EA-CC framework that can be extended to corporate governance models. Phases, activities, artifacts and deliverables from framework are described.Cloud Computing (CC) es un paradigma de infraestructura informática que proporciona elasticidad a las soluciones de software o hardware en las organizaciones, y es más poderoso que las arquitecturas tradicionales para el almacenamiento, procesamiento y distribución de datos. Mientras tanto, Enterprise Architecture (EA) describe la estructura de la organización y permite garantizar sus objetivos. Se requieren estudios recientes para la integración de EA con el análisis de convergencia de CC entre EA y CC para facilitar la verdadera integración en la organización. El objetivo de este trabajo es contribuir a reducir la brecha entre EA y CC. Se presenta un análisis de la importancia y los beneficios del enfoque integrado de EA-CC, junto con el marco propuesto de EA-CC que puede extenderse a los modelos de gobierno corporativo. Se describen las fases, actividades, artefactos y entregables del marco
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