A model based approach to systems requirements for event driven enterprise architecture

Business and ICT strategic alignment remains an ongoing challenge facing organizations as they react to changing requirements by adapting or introducing new technologies to existing infrastructure. Activity around Enterprise Architecture (EA) has increasingly become relevant to these demands and as a consequence numerous methods and frameworks for pursuing EA have emerged. However these approaches remain bloated, time-consuming and lacking in precision. This paper proposes a light-weight method for enterprise architecture and introduces a language for representing EA components that lends itself to modeling “As Is” and “To Be” EA with a concrete aim to providing a simulation environment that delivers an un-ambiguous description to what changes need to be made to an EA with respect to emerging requirements. The LEAP method and the language is illustrated with a detailed case study of business change currently being addressed by UK higher education institutions

A method for enterprise architecture alignment

Business and ICT strategic alignment remains an ongoing challenge facing organizations as they react to changing requirements by adapting or introducing new technologies to existing infrastructure. Enterprise Architecture (EA) has increasingly become relevant to these demands and as a consequence numerous methods and frameworks have emerged. However these approaches remain bloated, time-consuming and lacking in precision. This paper proposes a light-weight method for EA called LEAP and introduces a language for EA simulation that is illustrated with a detailed case study of business change currently being addressed by UK higher education institutions

Domain-specific reasoning for method engineering based on Toulmin's argumentation theory

Methods describe and embody a broad range of relevant knowledge of enterprises. Usually they have to account for requirements stated by a multitude of various stakeholders. These are typically those that are in charge of business related actions and those that are in charge to support such actions with an IT-Infrastructure. The statement of requirements as well as the validation of methods and in particular process models with respect to those requirements relies drastically on natural language. Natural language seems to be a substantial component to explain and to give an understanding about process models or certain aspects of it. This fact requires closing the gap between the natural language and the respective modelling language. This paper proposes argumentative method engineering for purposefully depicting design decisions and convictions for method engineering through arguments. The approach is derived from Toulmin’s Argumentation Model and explicates the process of negotiating with various stakeholders. So, a model, depicting a method, specified by means of argumentative method engineering, not just includes the claims about a certain domain, it further justifies these claims by referring to already established knowledge. While it can’t be ensured that certain requirements are considered in future project, if the reasons for design decisions of method engineering are transcribed in natural language text, but the semi- formalising of arguments regarding these methods allows such an assurance. So the argumentative approach enables the sophisticated management and reuse of knowledge during the development and extension of methods. The approach is evaluated using a case study, in which a software development method was outsourced to contractors

LEAP: a precise lightweight framework for enterprise architecture.

This paper proposes LEAP: a simple framework for Enterprise Architecture (EA) that views an organization as an engine that executes in terms of hierarchically decomposed communicating components. The approach allows all aspects of the architecture to be precisely dened using standard modelling notations. Given that the approach is simple and precisely dened it can form the basis for a wide range of EA analysis techniques including simulation, compliance and consistency checking. The paper denes the LEAP framework and shows that it can be used to represent the key features of ArchiMate whilst containing fewer orthogonal concepts. We also show that the precision of LEAP, achieved through the use of OCL, can be used to verify both the claims made for inter-layer relationships in EA models and for extensions to ArchiMate

Simulating enterprise architecture models

Business and ICT strategic alignment remains an ongoing challenge facing organizations as they react to changing requirements by adapting or introducing new technologies to existing infrastructure. Enterprise Architecture (EA) has increasingly become relevant to these demands and as a consequence numerous methods and frameworks for pursuing EA have emerged. However these approaches remain bloated, time-consuming and lacking in precision. This paper proposes a lightweight method for EA (LEAP) and introduces a language for representing EA components that lends itself to modelling as-is and to-be EA with a concrete aim to providing a simulation environment that delivers an unambiguous description of the required changes. The LEAP method and the language are illustrated with a detailed case study of business change currently being addressed by UK higher education institutions

Streaming clumps ejection model and the heterogeneous inner coma of Comet Wild 2

It is modeled that a significant component of the jets of some comets are released as aggregate clumps, which then fragment and shed particles after release, leading to a heterogeneous innermost coma

A wide-spectrum approach to modelling and analysis of organisation for machine-assisted decision-making

This paper describes a modeling approach that helps to represent necessary aspects of complex socio-technical systems, such as organization, in an integrated form and provides a simulation technique for analyzing these organi-sations. An actor-based language is introduced and compared to a conventional simulation approach (Stock-and-Flow) by simulating aspects of a software ser-vices company

A model based realisation of actor model to conceptualise an aid for complex dynamic decision-making

Effective decision-making of modern organisation requires deep understanding of various aspects of organisation such as its goals, structure, business-as-usual operational processes etc. The large size and complex structure of organisations, socio-technical characteristics, and fast business dynamics make this decision-making a challenging endeavour. The state-of-practice of decision-making that relies heavily on human experts is often reported as ineffective, imprecise and lacking in agility. This paper evaluates a set of candidate technologies and makes a case for using actor based simulation techniques as an aid for complex dynamic decision-making. The approach is justified by enumeration of basic requirements of complex dynamic decision-making and the conducting a suitability of analysis of state-of-the-art enterprise modelling techniques. The research contributes a conceptual meta-model that represents necessary aspects of organisation for complex dynamic decision-making together with a realisation in terms of a meta model that extends Actor model of computation. The proposed approach is illustrated using a real life case study from business process outsourcing industr

OrgML - a domain specific language for organisational decision-making

Effective decision-making based on precise understanding of an organisation is critical for modern organisations to stay competitive in a dynamic and uncertain business environment. However, the state-of-the-art technologies that are relevant in this context are not adequate to capture and quantitatively analyse complex organisations. This paper discerns the necessary information for an organisational decision-making from management viewpoint, discusses inadequacy of the existing enterprise modelling and specification techniques, proposes a domain specific language to capture the necessary information in machine processable form, and demonstrates how the collected information can be used for a simulation-based evidence-driven organisational decision-making