Ontology for SEAM Service Models

A service system is a popular concept in academia and industry. At the same time, it is a challenging concept to represent, due to its recursive nature and difficulty to relate it to entities in reality. In this paper we present an ontology for modeling service systems using the SEAM systemic method. Our ontology represents an updated and minimalistic version of the existing SEAM service modeling language that puts an emphasis on the behavior. The research approach we used is the design science for information systems research and it resulted with the ontology artifact. As part of the ontology, we provide a meta-model, well-formedness rules and formalization in the Alloy language. We conclude with presenting the limitations and a brief discussion on the contribution of shifting the focus towards the behavior in service systems

Enterprise modeling using the foundation concepts of the RM-ODP ISO/ITU standard

Enterprise architecture (EA) projects require analyzing and designing across the whole enterprise and its environment. Enterprise architects, therefore, frequently develop enterprise models that span from the markets in which the organization operates down to the implementation of the IT systems that support its operations. In this paper, we present SEAM for EA: a method for defining an enterprise model in which all the systems are systematically represented with the same modeling ontology. We base our modeling ontology on the foundation modeling concepts defined in Part 2 of ISO/ITU Standard "Reference Model of Open Distributed Processing” (RM-ODP). This work has two contributions to enterprise architecture: the SEAM for EA method itself and the use of Part 2 of the RM-ODP standard as a modeling ontolog

Manual SEAMLESS-IF

Agricultural and Food Policy, Environmental Economics and Policy, Farm Management, Land Economics/Use, Production Economics,

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Strengthening MDA by Drawing from the Living Systems Theory

OMGs Model Driven Architecture initiative comes at a time where information system builders and integrators have realized that application design and thus application interoperability is not primarily a technology issue but is about understanding different types of systems, involving different professional and scientific disciplines. Understanding requires thinking and thinking is modeling. Hence, MDA provides a framework for modeling systems, especially those systems that are relevant in the context of IT-system integration within and across company boundaries. However, model correspondence, i.e., relations and transformations among models and views in a consistent way, presents a challenging problem for MDA. Bridging of disciplines was also a key motivation for the systems science communities, and in particular for the life sciences. A widely accepted theory about all living systems was developed by J. G. Miller the Living Systems Theory. His theory is striking because the basic concepts and principles are applicable at all levels, i.e., for all types of livings systems, from a cell to a supranational organization. The Living Systems Theory thus provides a good basis for consistently relating different systems and different views. In this paper, we will show how the living systems theory can be used to go about the problem of model correspondences. In particular, we suggest that MDA explicitly use the notions of a model reality with organizational levels based on a modeling ontology that is derived from the living systems theory

Accountability for public sector it projects and the senior responsible owner: a theoretical background and research agenda

The history of public sector IT capital projects is littered with examples of projects that have been delivered late, or have exceeded their budgets, or have proved unsuitable for their intended use. Such projects include the computerised passport processing system, the National Insurance Recording System and the Libra project (Comptroller and Auditor General, 1999,2001, 2003). Other projects such as the Benefits Card Payment project (Comptroller and Auditor General, 2000) have been cancelled prior to completion after the expenditure of significant sums of public money, having made little progress over an extended period of time. These project failures and their consequent negative impacts on the delivery of public services have been widely reported in an almost continuous stream of newspaper headlines. This succession of revelations about the problems of public sector IT capital projects has been accompanied by high levels of political and public concerns that the benefits of the projects are lost and that large sums of public money are being wasted. In the first part of the paper we argue that there has been a historical focus on institutional accountability at the expense of research into individual accountability. We explore how and why the traditional doctrine of civil servant accountability has declined, with a resultant increased emphasis on both the accountability of civil servants and on managerial performance. We examine the effects of managerialism on the changing subject of civil servant accountability and on the emergence of the SRO role. We formalize our arguments by developing two propositions that illustrate the basic flaws in the SRO concept that arise from subjective and cognitive aspects of understanding. In the second part of the paper we explore the potential and limitations of five different approaches to the study of SRO accountability that might take into account its cognitive and subjective components. We conclude that one of the five - experientialism, or phenomenography - offers to overcome the limitations of the others. We present three further theoretical propositions using phenomenographic principles to illustrate the argument for the existence of a range of understandings of SRO accountability. We conclude that the subjective and cognitive limitations outlined open the way for further research into the field of accountability and the management of IT projects across the public sector.School of Managemen

Model driven validation approach for enterprise architecture and motivation extensions

As the endorsement of Enterprise Architecture (EA) modelling continues to grow in diversity and complexity, management of its schema, artefacts, semantics and relationships has become an important business concern. To maintain agility and flexibility within competitive markets, organizations have also been compelled to explore ways of adjusting proactively to innovations, changes and complex events also by use of EA concepts to model business processes and strategies. Thus the need to ensure appropriate validation of EA taxonomies has been considered severally as an essential requirement for these processes in order to exert business motivation; relate information systems to technological infrastructure. However, since many taxonomies deployed today use widespread and disparate modelling methodologies, the possibility to adopt a generic validation approach remains a challenge. The proliferation of EA methodologies and perspectives has also led to intricacies in the formalization and validation of EA constructs as models often times have variant schematic interpretations. Thus, disparate implementations and inconsistent simulation of alignment between business architectures and heterogeneous application systems is common within the EA domain (Jonkers et al., 2003). In this research, the Model Driven Validation Approach (MDVA) is introduced. MDVA allows modelling of EA with validation attributes, formalization of the validation concepts and transformation of model artefacts to ontologies. The transformation simplifies querying based on motivation and constraints. As the extended methodology is grounded on the semiotics of existing tools, validation is executed using ubiquitous query language. The major contributions of this work are the extension of a metamodel of Business Layer of an EAF with Validation Element and the development of EAF model to ontology transformation Approach. With this innovation, domain-driven design and object-oriented analysis concepts are applied to achieve EAF model’s validation using ontology querying methodology. Additionally, the MDVA facilitates the traceability of EA artefacts using ontology graph patterns