Practitioner requirements for integrated Knowledge-Based Engineering in Product Lifecycle Management.

The effective management of knowledge as capital is considered essential to the success of engineering product/service systems. As Knowledge Management (KM) and Product Lifecycle Management (PLM) practice gain industrial adoption, the question of functional overlaps between both the approaches becomes evident. This article explores the interoperability between PLM and Knowledge-Based Engineering (KBE) as a strategy for engineering KM. The opinion of key KBE/PLM practitioners are systematically captured and analysed. A set of ranked business functionalities to be fulfiled by the KBE/PLM systems integration is elicited. The article provides insights for the researchers and the practitioners playing both the user and development roles on the future needs for knowledge systems based on PLM

Sustainability of systems interoperability in dynamic business networks

Dissertação para obtenção do Grau de Doutor em Engenharia Electrotécnica e de ComputadoresCollaborative networked environments emerged with the spread of the internet, contributing to overcome past communication barriers, and identifying interoperability as an essential property to support businesses development. When achieved seamlessly, efficiency is increased in the entire product life cycle support. However, due to the different sources of knowledge, models and semantics, enterprise organisations are experiencing difficulties exchanging critical information, even when they operate in the same business environments. To solve this issue, most of them try to attain interoperability by establishing peer-to-peer mappings with different business partners, or use neutral data and product standards as the core for information sharing, in optimized networks. In current industrial practice, the model mappings that regulate enterprise communications are only defined once, and most of them are hardcoded in the information systems. This solution has been effective and sufficient for static environments, where enterprise and product models are valid for decades. However, more and more enterprise systems are becoming dynamic, adapting and looking forward to meet further requirements; a trend that is causing new interoperability disturbances and efficiency reduction on existing partnerships. Enterprise Interoperability (EI) is a well established area of applied research, studying these problems, and proposing novel approaches and solutions. This PhD work contributes to that research considering enterprises as complex and adaptive systems, swayed to factors that are making interoperability difficult to sustain over time. The analysis of complexity as a neighbouring scientific domain, in which features of interoperability can be identified and evaluated as a benchmark for developing a new foundation of EI, is here proposed. This approach envisages at drawing concepts from complexity science to analyse dynamic enterprise networks and proposes a framework for sustaining systems interoperability, enabling different organisations to evolve at their own pace, answering the upcoming requirements but minimizing the negative impact these changes can have on their business environment

Analytical metadata modeling for next generation BI systems

Business Intelligence (BI) systems are extensively used as in-house solutions to support decision-making in organizations. Next generation BI 2.0 systems claim for expanding the use of BI solutions to external data sources and assisting the user in conducting data analysis. In this context, the Analytical Metadata (AM) framework defines the metadata artifacts (e.g., schema and queries) that are exploited for user assistance purposes. As such artifacts are typically handled in ad-hoc and system specific manners, BI 2.0 argues for a flexible solution supporting metadata exploration across different systems. In this paper, we focus on the AM modeling. We propose SM4AM, an RDF-based Semantic Metamodel for AM. On the one hand, we claim for ontological metamodeling as the proper solution, instead of a fixed universal model, due to (meta)data models heterogeneity in BI 2.0. On the other hand, RDF provides means for facilitating defining and sharing flexible metadata representations. Furthermore, we provide a method to instantiate our metamodel. Finally, we present a real-world case study and discuss how SM4AM, specially the schema and query artifacts, can help traversing different models instantiating our metamodel and enabling innovative means to explore external repositories in what we call metamodel-driven (meta)data exploration.Peer ReviewedPostprint (author's final draft

Model morphisms (MoMo) to enable language independent information models and interoperable business networks

MSc. Dissertation presented at Faculdade de Ciências e Tecnologia of Universidade Nova de Lisboa to obtain the Master degree in Electrical and Computer EngineeringWith the event of globalisation, the opportunities for collaboration became more evident with the effect of enlarging business networks. In such conditions, a key for enterprise success is a reliable communication with all the partners. Therefore, organisations have been searching for flexible integrated environments to better manage their services and product life cycle, where their software applications could be easily integrated independently of the platform in use. However, with so many different information models and implementation standards being used, interoperability problems arise. Moreover,organisations are themselves at different technological maturity levels, and the solution that might be good for one, can be too advanced for another, or vice-versa. This dissertation responds to the above needs, proposing a high level meta-model to be used at the entire business network, enabling to abstract individual models from their specificities and increasing language independency and interoperability, while keeping all the enterprise legacy software‟s integrity intact. The strategy presented allows an incremental mapping construction, to achieve a gradual integration. To accomplish this, the author proposes Model Driven Architecture (MDA) based technologies for the development of traceable transformations and execution of automatic Model Morphisms

A Model Based Framework for IoT-Aware Business Process Management

IoT-aware Business Processes (BPs) that exchange data with Internet of Things (IoT) devices, briefly referred to as IoT-aware BPs, are gaining momentum in the BPM field. Introducing IoT technologies from the early stages of the BP development process requires dealing with the complexity and heterogeneity of such technologies at design and analysis time. This paper analyzes widely used IoT frameworks and ontologies to introduce a BPMN extension that improves the expressiveness of relevant BP modeling notations and allows an appropriate representation of IoT devices from both an architectural and a behavioral perspective. In the BP management field, the use of simulation-based approaches is recognized as an effective technology for analyzing BPs. Simulation models need to be parameterized according to relevant properties of the process under study. Unfortunately, such parameters may change during the process operational life, thus making the simulation model invalid with respect to the actual process behavior. To ease the analysis of IoT-aware BPs, this paper introduces a model-driven method for the automated development of digital twins of actual business processes. The proposed method also exploits data retrieved by IoT sensors to automatically reconfigure the simulation model, to make the digital twin continuously coherent and compliant with its actual counterpart

Federated approach for enterprise interoperability (a reversible model driven and HLA based methodology)

L'interopérabilité est une des caractéristiques requises pour les entreprises évoluant dans un marché globalisé à la concurrence croissante et complexe. Dans la dernière décennie, l'interopérabilité des entreprises a été développée et prescrite par différents types de cadres, de méthodes et de techniques. Cependant, le développement de l'interopérabilité n'est pas encore assez mature pour être considéré en tant que science à part entière. Par ailleurs, il ne cesse d'évoluer en fonction des besoins des entreprises,de leurs environnements et des différents secteurs d activité. Aujourd'hui, l'environnement s organise en réseaux multipleet provoque d imprévisibles situations liées à leurs dynamiques (création, modification, résilience). Ainsi l interopérabilité durable devient une dimension nouvelle de recherche pour l'interopérabilité des systèmes d'entreprise et de leurs domaines d'applications. Dans l'interopérabilité durable, l'interopérabilité d'entreprise dynamique est l'un des thèmes focaux. Cette approche dynamique, également appelée fédérée , est originaire du cadre d'interopérabilité de l'Entreprise proposée dans le Réseau d Excellence (NoE)INTEROP. Il vise à donner la capacité aux entreprises d établir une interopérabilité à la volée sans connaissance préalable des informations à échanger. Cette thèse présente l'état actuel des travaux qui se rapprochent du développement de l'interopérabilité des entreprises fédérés en dynamique. Ces travaux de thèse mettent tout d abord en évidence l intérêt de la redécouverte de modèles à partir d un système existant avant de concevoir un futur système. Une méthodologie de réverse engineering dirigée par les modèles et basée sur la norme de simulation distribuée HLA est proposée pour concevoir et développerpar l'approche fédérée d'interopérabilité le futur système d information de l entreprise. La phase de mise en œuvre réutilise les concepts d interopérabilité issusde la simulation distribuée pour faciliter et coordonner la communication entre les systèmes d'information distribués hétérogènes des entreprises en combinant avec les dernières orientation service actuelle du web. La plate-forme tend ainsi à satisfaire les attentes de la dernière version du standard de l'architecture de haut niveau HLA 1516 Evolved. Ce cadre propose donc un cycle complet de développement pour qui a l'intention de réutiliser un système d'information existant sans recoder ex-nilo, mais en l adaptant aux nouvelles exigences de la dynamique d'interopérabilité.Interoperability is one of the requisite features for existing enterprises in the increasing competitive and complex global market. In the last decade, enterprise interoperability has been developed and prescribed by various kinds of frameworks, methods, and techniques. However interoperability development is still not mature enough to become a science. Meanwhile, it keeps evolving according to different business requirement and market environment. Nowadays, networked environment causes unpredictable dynamical situations, thus sustainable interoperability becomes a new research dimension in the interoperability of enterprise systems and applications domain. In the sustainable interoperability, enterprise interoperability dynamics is one of the focal topics. This dynamic approach also called federated is originated from Enterprise Interoperability Framework of INTEROP NoE, which aims to establish interoperability on the fly. This thesis presents current state on federated approaches to develop enterprise interoperability dynamics. Based on this study, a reversible model driven and HLA based methodology is proposed for achieving federated approach for Enterprise Interoperability. It reuses distributed simulation interoperability concepts to facilitate and coordinate the communication between heterogeneous distributed information systems of the enterprises. The platform is complaint with the latest version of the High Level Architecture (HLA) that is a distributed communication standard. This framework is also proposing a development lifecycle that intends to reuse existing information systems without recoding them but by adapting them to the new requirements of interoperability dynamics.BORDEAUX1-Bib.electronique (335229901) / SudocSudocFranceF

Assisting software architects in architectural decision-making using Quark

Non-Functional Requirements (NFRs) and constraints are among the principal drivers of architectural decision-making. NFRs are improved or damaged by architectural decisions (ADs), while constraints directly include or exclude parts of the architecture (e.g., logical components or technologies). We may determine the impact of an AD, or which parts of the architecture are affected by a constraint, but at the end it is hard to know if we are respecting the NFRs and the imposed constraints with all the ADs made. In the usual approach, architects use their own experience to produce software architectures that comply with the NFRs and imposed constraints, but at the end, especially for crucial decisions, the architect has to deal with complex trade-offs between NFRs and juggle with possible incompatibilities raised by the imposed constraints. In this paper we present Quark, a method to assist software architects in architectural decision-making, and the conceptualization of the relationship between NFRs and ADs defined in Arteon, an ontology to represent and manage architectural knowledge. Finally, we provide an overview of the Quark and Arteon implementation, the ArchiTech tool.Peer ReviewedPostprint (published version

Interim research assessment 2003-2005 - Computer Science

This report primarily serves as a source of information for the 2007 Interim Research Assessment Committee for Computer Science at the three technical universities in the Netherlands. The report also provides information for others interested in our research activities

Dealing with non-functional requirements in model-driven development

The impact of non-functional requirements (NFRs) over software systems has been widely documented. Consequently, cost-effective software production method shall provide means to integrate this type of requirements into the development process. In this vision paper we analyze this assumption over a particular type of software production paradigm: model-driven development (MDD). We report first the current state of MDD approaches with respect to NFRs and remark that, in general, NFRs are not addressed in MDD methods and processes, and we discuss the effects of this situation. Next, we outline a general framework that integrates NFRs into the core of the MDD process and provide a detailed comparison among all the MDD approaches considered. Last, we identify some research issues related to this framework.Preprin