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12 Papers

mPOW – Mobile Support for Health Care Students on Work Placements

Topics: Web Services and Web Engineering; Mobile Learning; Web Programming; Mobile Navigation and Assistance; Restful Web Services

Authors: Eric Bonnici 1 and Samia Oussena 2

Affiliations: 1 ARC Technology Ltd, United Kingdom , 2 University of West London, United Kingdom

Digital Object Identifier: 10.5220/0005446300810088

Proceedings of WEBIST 2015, ISBN: 978-989-758-106-9

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This paper outlines the development of a mobile application called “mPOW” as part of a KT (Knowledge Transfer) partnership project between the University of West London and Arc Technology Ltd. The aim of this project is to provide improved support for HE (Higher Education) students while on a work placement. The design considerations and solutions for designing a cross-platform application are discussed and presented, and the result is an app that is applicable to students from various universities who attend a range of distinct work placements. The application may also be used online as well as offline with the result that students are not tied down to space and time.
Collapse Button Related Ontology Subjects/Areas/Topics (12)
Computer-Supported Education

Mobile Learning

Web Information Systems and Technologies

Information Technologies Supporting Learning

Mobile Navigation and Assistance

Web Interfaces and Applications

Internet Technology

Restful Web Services

Web Programming

Mobile Information Systems

Ubiquitous Learning

Web Services and Web Engineering

Formalization of Validation Extension Metamodel for Enterprise Architecture Frameworks

Topics: Models and Frameworks; Enterprise Knowledge Engineering and Management; Measurements, Metrics and Evaluation of EA Artefacts and Processes; Maturity Models for EA Artefacts and Processes

Authors: Samia Oussena , Joe Essien and Peter Komisarczuk

Affiliation: University of West London, United Kingdom

Digital Object Identifier: 10.5220/0004950304270434

Proceedings of ICEIS 2014, ISBN: 978-989-758-029-1

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Formalization of Enterprise Architecture (EA) concepts as a whole is an area which has continued to constitute a major obstacle in understanding the principles that guide its adaptations. Ubiquitous use of terms such as models, meta-models, meta-meta-models, frameworks in the description of EA taxonomies and the relationship between the various artefacts has not been exclusive or cohesive. Consequently variant interpretations of schemas, conflicting methodologies, disparate implementation have ensued. Incongruent simulation of alignment between dynamic business architectures, heterogeneous application systems and validation techniques has been prevalent. The divergent and widespread paradigm of EA domiciliation in practice makes it even more challenging to adopt a generic formalized constructs in which models can be interpreted and verified (Martin et al., 2004). The unavailability of a unified EA modelling language able to describe a wide range of Information Technology domains compounds these challenges leading to exponentiations of EA perspectives. This paper seeks to present a formalization of concepts towards addressing validation concerns of EA through the use of ontologies and queries based on constraints specified in the model’s motivation taxonomy. The paper is based on experimental research and grounded on EA taxonomies created using the ArchiMate modelling language and open source web ontology. It delves into the use of semantics triples, Resource Description Framework Schema and relational graphs to map EA taxonomy artefacts into classes and slots using end-to-end conventional formalization approach applicable within heterogeneous EA domains. The paper also expounds on a proposal that postulates implementation of the approach, enables formalized traceability of EA validation and contributes to effective validation of EA through refined taxonomy semantics, mappings and alignment of motivation.

Complex Event as an Core Aspect of Enterprise Architecture - EDEMF: Event Driven Enterprise Architecture Modeling Framework

Topics: Software Engineering; Model Driven Architectures and Engineering; Modeling Formalisms, Languages, and Notations (e.g. UML, ER variants); Enterprise Engineering; Models and Frameworks; Business Modeling and Business Process Management; Business-It Allignment; EA and Service Oriented Architecture (SOA)

Authors: Hyeonsook Kim , Samia Oussena and Peter Komisarczuk

Affiliation: University of West London, United Kingdom

Digital Object Identifier: 10.5220/0004440802920301

Proceedings of ICEIS 2013, ISBN: 978-989-8565-61-7

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For the last decade, Complex Event Processing (CEP) has been emerged as a powerful instrument supporting a more agile and intelligent enterprise. Although several studies have attempted to extend current business modelling standards with elements of complex event modelling they have not fully integrated into Enterprise Architecture (EA). EA provides holistic approach of enterprise business and IT system modelling. In our view CEP is not just an element associated with a business process, but at the centre of business analysis and design. This paper proposes an EA modelling framework that takes CEP as a core aspect of modelling. The framework supports CEP based business architecture within different levels of abstraction: contextual, conceptual/logical, and physical. Meta-models in three hierarchies and model mapping between the meta-models have been developed and demonstrated on a linked data platform in a case study. The case study used the framework as a tool of analysis and modelling, aiming to integrate scattered information as event data by specifying a complex event layer on top of legacy systems. The designed models were then transformed into executable program codes using the model transformation, for example, RDF script from information model; SPARQL query from complex event model.
Collapse Button Related Ontology Subjects/Areas/Topics (6)
e-Business

Enterprise Information Systems

Model Driven Architectures and Engineering

Enterprise Engineering

Information Systems Analysis and Specification

Software Engineering

Enterprise Architecture Models - Description of Integrated Components for Validation - A Case Study of Student Internship Programme

Topics: Methods, Processes and Patterns for EA Development; Measurements, Metrics and Evaluation of EA Artefacts and Processes; Maturity Models for EA Artefacts and Processes

Authors: Joe Essien and Samia Oussena

Affiliation: University of West London, United Kingdom

Digital Object Identifier: 10.5220/0004443103020309

Proceedings of ICEIS 2013, ISBN: 978-989-8565-61-7

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Enterprise Architecture (EA) has been defined as the organization of a system embodied in its components, relationships to each other, environment, the principle guiding its design and evolution (IEEE, 2000). Thus an important characteristic of EA is to provide a holistic view of the enterprise visualizing the relevant aspects of the business for specific stakeholders. However, one of the many concerns of this interest has been how to deal with the complex challenges of implementing the models with the ability to validate its integrated components to ensure conformity with individual stakeholder’s motivation. To achieve this, methodologies that describe components in relation to their behavioral attributes, impact on other elements in the domain and their dependencies have been postulated. Albeit, studies show that these taxonomies do not adequately address this requirement (Lankhorst, 2013). This article analyzes the EA concepts of ArchiMate, focusing on the business and application layers with the objective to extend motivation with tests specifications using the model-driven approach thus offer descriptive semantics for validation. The paper contributes to a better understanding on how EA models can be validated thus improve alignment with the business vision and strategy. Student Internship Program case study is used to exemplify this hypothesis.

A Case Study on Modeling of Complex Event Processing in Enterprise Architecture

Topics: Models and Frameworks; Business Modeling and Business Process Management; EA and Service Oriented Architecture (SOA); Evolution of EA

Authors: Hyeonsook Kim and Samia Oussena

Affiliation: University of West London, United Kingdom

Digital Object Identifier: 10.5220/0003968701730180

Proceedings of ICEIS 2012, ISBN: 978-989-8565-12-9

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Over the decades, Enterprise Architecture (EA) has been researched to supply all the necessary components for enterprise system modelling including taxonomies, meta-models, architecture development methods, and modelling tools. The main benefits of EA are the knowledge infrastructure for analysis and reporting by all stakeholders and the possibility of designing new conditions in an organized manner. However, EA now faces a big challenge with the growing dynamic of market demands and the rapid changes in business environments, which requires agile system response and self-evolutionary behaviour to support quick decision-making. In technology side, there are already matured, promising paradigm to tackle this challenges, which is Complex Event Processing, however it has not been fully dealt with EA. No standardized method for applying event driven approach in business and IT systems modelling has been developed yet. The paper investigates a possibility of integration of EDA by adding event process layer between business operating and business process layers in the EA stack. Complex event patterns are identified and an event meta-model extending ArchiMate is also proposed to integrate complex event modelling to the business modelling. Using a case study, we modeled a business scenario with event driven approach.

AN INVERSE SENSOR MODEL FOR EARTHQUAKE DETECTION USING MOBILE DEVICES

Topics: Environmental Monitoring and Control; Modeling, Simulation and Architectures; Information-Based Models for Control

Authors: Thomas Collins and John P. T. Moore

Affiliation: Thames Valley University, United Kingdom

Digital Object Identifier: 10.5220/0002911800810086

Proceedings of ICINCO 2010, ISBN: 978-989-8425-02-7

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We describe a sensory framework to be used for the purposes of earthquake detection using minimal cost, accelerometer equipped, hardware units. Combining techniques from mobile robotics this model is intended to address the current issue in the field whereby high fidelity hardware units tuned to detect specific characteristics such as wave features and/or high fidelity event models derived from data analysis are required for such detection. In this paper we present and contextualise the architecture under construction in addition to outlining the salient elements of the problem we are addressing.
Collapse Button Related Ontology Subjects/Areas/Topics (6)
Environmental Monitoring and Control

Information-Based Models for Control

Robotics and Automation

Informatics in Control, Automation and Robotics

Modeling, Simulation and Architectures

Signal Processing, Sensors, Systems Modeling and Control

AUTOMATIC GENERATION OF DATA MERGING PROGRAM CODES

Topics: Data Warehouses and Data Mining; Model-Driven Engineering; Data Exchange and Integration

Authors: Hyeonsook Kim 1 , Samia Oussena 1 , Ying zhang 1 and Tony Clark 2

Affiliations: 1 Thames Valley University, United Kingdom , 2 Middlesex University, United Kingdom

Digital Object Identifier: 10.5220/0003008301790186

Proceedings of ICSOFT 2010, ISBN: 978-989-8425-23-2

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Data merging is an essential part of ETL (Extract-Transform-Load) processes to build a data warehouse system. To avoid rewheeling merging techniques, we propose a Data Merging Meta-model (DMM) and its transformation into executable program codes in the manner of model driven engineering. DMM allows defining relationships of different model entities and their merging types in conceptual level and our formalized transformation described using ATL (ATLAS Transformation Language) enables automatic generation of PL/SQL packages to execute data merging in commercial ETL tools. With this approach data warehouse engineers can be relieved from burden of repetitive complex script coding and pain of maintaining consistency of design and implementation.
Collapse Button Related Ontology Subjects/Areas/Topics (11)
Business Analytics

Data Exchange and Integration

Model-Driven Engineering

Communication and Software Technologies and Architectures

Data Warehouses and Data Mining

Software Engineering

Cross-Feeding between Data and Software Engineering

e-Business

Software Engineering Methods and Techniques
Data Engineering

Enterprise Information Systems

USE DATA MINING TO IMPROVE STUDENT RETENTION IN HIGHER EDUCATION - A Case Study

Topics: Datamining; Data Warehouse; Organisational Issues on Systems Integration; Knowledge Management

Authors: Ying Zhang 1 , Samia Oussena 1 , Tony Clark 2 and Hyeonsook Kim 2

Affiliations: 1 Thames Valley University, United Kingdom , 2 Middlesex University, United Kingdom

Digital Object Identifier: 10.5220/0002894101900197

Proceedings of ICEIS 2010, ISBN: 978-989-8425-04-1

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Data mining combines machine learning, statistics and visualization techniques to discover and extract knowledge. One of the biggest challenges that higher education faces is to improve student retention (National Audition Office, 2007). Student retention has become an indication of academic performance and enrolment management. Our project uses data mining and natural language processing technologies to monitor student, analyze student academic behaviour and provide a basis for efficient intervention strategies. Our aim is to identify potential problems as early as possible and to follow up with intervention options to enhance student retention. In this paper we discuss how data mining can help spot students ‘at risk’, evaluate the course or module suitability, and tailor the interventions to increase student retention.
Collapse Button Related Ontology Subjects/Areas/Topics (19)
Artificial Intelligence

Datamining

Organisational Issues on Systems Integration

Biomedical Engineering

Enterprise Information Systems

Sensor Networks

Business Analytics

Health Information Systems

Signal Processing

Data Engineering

Information Systems Analysis and Specification

Society, e-Business and e-Government

Data Mining

Knowledge Management

Soft Computing

Data Warehouses and OLAP

Ontologies and the Semantic Web

Web Information Systems and Technologies
Databases and Information Systems Integration

A FRAMEWORK FOR TESTING SOA APPLICATIONS

Topics: Service-Oriented Computing; Software Testing and Maintenance; Enterprise Service Architectures

Authors: Samia Oussena 1 , Balbir Barn 2 and Dan Sparks 1

Affiliations: 1 Thames Valley University, United Kingdom , 2 Middlessex University, United Kingdom

Digital Object Identifier: 10.5220/0002257200530060

Proceedings of ICSOFT 2009, ISBN: 978-989-674-010-8

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Test driven development (TDD) is emerging as one of the most successful developer productivity aids. A key feature of TDD is the construction of a robust test harness before implementing code, enabling the creation of a “virtual contract”. The semantics of that contract are the fully enumerated set of test conditions for the system under construction. Service Oriented Architecture (SOA) raises a particular challenge in that there exists no unified method for testing an SOA application, which not only looks at individual artefact of the SOA application but also the complete application. Further, in SOA, the flexibility and connectivity provided by loosely coupled services increases both the opportunity for errors and the complexity of the testing. Given this situation, this paper describes a unified test-driven approach to a ground-up implementation of an SOA application where testing is seen as central to the development process. The paper proposes a framework that focuses on process-, configuration-, and service-oriented testing that provides relatively complete and flexible viewpoints of an SOA artefact’s health. A critical evaluation of our approach is presented in the context of the development of SOA applications that support core Higher Education business processes.
Collapse Button Related Ontology Subjects/Areas/Topics (12)
Agents

Enterprise Information Systems

Services

Artificial Intelligence

Enterprise Service Architectures

Software Engineering

Communication and Software Infrastructure

Enterprise Software Technologies

Software Engineering Methods and Techniques

e-Business

Service-Oriented Computing

Software Testing and Maintenance

LAYERED PROCESS MODELS - Analysis and Implementation (using MDA Principles)

Topics: Software Engineering; Systems Engineering Methodologies; Business Processes Re-Engineering

Authors: Samia Oussena 1 and Balbir S. Barn 2

Affiliations: 1 Thames Valley University, United Kingdom , 2 Middlesex University, United Kingdom

Digital Object Identifier: 10.5220/0001995601680175

Proceedings of ICEIS 2009, ISBN: 978-989-8111-86-9

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One of the key challenges of Service-oriented architecture (SOA) is to build applications, services and processes that truly meet business requirements. Model-Driven Architecture (MDA) promotes the creation of models and code through model transformation. We argue in this paper that the same principle can be used to drive the development of SOA applications, using a Business Process Modelling (BPM) approach, supported by Business Process Modelling Notation (BPMN). We present an approach that allows the SOA application to be aligned with the business requirements, by offering guidelines for a systematic transformation of a business process model from requirements analysis into a working implementation.
Collapse Button Related Ontology Subjects/Areas/Topics (13)
Artificial Intelligence

Information Systems Analysis and Specification

Model-Driven Software Development

Business Process Management

Knowledge Management and Information Sharing

Software Engineering

e-Business

Knowledge-Based Systems

Symbolic Systems

Enterprise Engineering

Methodologies, Processes and Platforms

Systems Engineering
Enterprise Information Systems

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