Extended Enterprise Modeling Language
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Extended Enterprise Modeling Language (EEML) in
software engineering Software engineering is a systematic engineering approach to software development. A software engineer is a person who applies the principles of software engineering to design, develop, maintain, test, and evaluate computer software. The term '' ...
is a
modelling language A modeling language is any artificial language that can be used to express information or knowledge or systems in a structure that is defined by a consistent set of rules. The rules are used for interpretation of the meaning of components in the st ...
used for
Enterprise modelling Enterprise modelling is the abstract representation, description and definition of the structure, processes, information and resources of an identifiable business, government body, or other large organization. It deals with the process of underst ...
across a number of layers.


Overview

Extended Enterprise Modeling Language (EEML) is a modelling language which combines structural modelling,
business process modelling Business process modeling (BPM) in business process management and systems engineering is the activity of representing processes of an enterprise, so that the current business processes may be analyzed, improved, and automated. BPM is typically ...
,
goal modelling A goal model is an element of requirements engineering that may also be used more widely in business analysis. Related elements include stakeholder analysis, context analysis, and scenarios, among other business and technical areas. Principles Go ...
with goal hierarchies and
resource modelling Resource refers to all the materials available in our environment which are technologically accessible, economically feasible and culturally sustainable and help us to satisfy our needs and wants. Resources can broadly be classified upon their ...
. It was intended to bridge the gap between goal modelling and other modelling approaches. According to Johannesson and Söderström (2008) "the process logic in EEML is mainly expressed through nested structures of tasks and decision points. The sequencing of tasks is expressed by the flow relation between decision points. Each task has an input port and the output port being decision points for modeling process logic". EEML was designed as a simple language, making it easy to update models. In addition to capturing tasks and their interdependencies, models show which roles perform each task, and the tools, services and information they apply.


History

Extended Enterprise Modeling Language (EEML) is from the late 1990s, developed in the EU project EXTERNAL as extension of the Action Port Model (APM) by S. Carlsen (1998). The EXTERNAL project aimed to "facilitate inter-organisational cooperation in knowledge intensive industries. The project worked on the hypothesis that interactive process models form a suitable framework for tools and methodologies for dynamically networked organisations. In the project EEML (Extended Enterprise Modelling Language) was first constructed as a common metamodel, designed to enable syntactic and semantic interoperability". It was further developed in the EU projects Unified Enterprise Modelling Language (UEML) from 2002 to 2003 and the ongoing ATHENA project. The objectives of the UEML Working group were to "define, to validate and to disseminate a set of core language constructs to support a Unified Language for Enterprise Modelling, named UEML, to serve as a basis for interoperability within a smart organisation or a network of enterprises".Unified Enterprise Modelling Language
Accessed 29 Nov 2008.


Topics


Modeling domains

The EEML-language is divided into 4 sub-languages, with well-defined links across these languages:
John Krogstie John Krogstie (born 23 May 1967) is a Norwegian computer scientist, professor in information systems at the Norwegian University of Science and Technology (NTNU) in Trondheim, Norway, and an expert in the field of enterprise modelling. Biography ...
(2006)
" Using EEML for Combined Goal and Process Oriented Modeling: A Case Study"
*
Process modelling The term process model is used in various contexts. For example, in business process modeling the enterprise process model is often referred to as the ''business process model''. Overview Process models are wiktionary:Process, processes of the ...
*
Data modelling Data modeling in software engineering is the process of creating a data model for an information system by applying certain formal techniques. Overview Data modeling is a process used to define and analyze data requirements needed to suppo ...
*
Resource modelling Resource refers to all the materials available in our environment which are technologically accessible, economically feasible and culturally sustainable and help us to satisfy our needs and wants. Resources can broadly be classified upon their ...
*
Goal modelling A goal model is an element of requirements engineering that may also be used more widely in business analysis. Related elements include stakeholder analysis, context analysis, and scenarios, among other business and technical areas. Principles Go ...
Process modelling in EEML, according to Krogstie (2006) "supports the modeling of process logic which is mainly expressed through nested structures of tasks and decision points. The sequencing of the tasks is expressed by the flow relation between decision points. Each task has minimum an input port and an output port being decision points for modeling process logic, Resource roles are used to connect resources of various kinds (persons, organisations, information, material objects, software tools and manual tools) to the tasks. In addition, data modeling (using UML class diagrams), goal modeling and competency modeling (skill requirements and skills possessed) can be integrated with the process models".


Layers

EEML has four layers of interest: * Generic Task Type: This layer identifies the constituent tasks of generic, repetitive processes and the logical dependencies between these tasks. * Specific Task Type: At this layer, we deal with process modelling in another scale, which is more linked to the concretisation, decomposition and specialisation phases. Here process models are expanded and elaborated to facilitate business solutions. From an integration viewpoint, this layer aims at uncovering more efficiently the dependencies between the sub-activities, with regards for the resources required for actual performance. * Manage Task Instances: The purpose of this layer consists in providing constraints but also useful resources (in the form of process templates) to the planning and performance of an enterprise process. The performance of organisational, information, and tool resources in their environment are highlighted through concrete resources allocation management. * Perform Task Instances: Here is covered the actual execution of tasks with regards to issues of empowerment and decentralisation. At this layer, resources are utilised or consumed in an exclusive or shared manner. These tasks are tied together through another layer called Manage Task Knowledge which allows to achieve a global interaction through the different layers by performing a real consistency between them. According to EEML 2005 Guide, this Manage Task Knowledge can be defined as the collection of processes necessary for innovation, dissemination, and exploitation of knowledge in a co-operating ensemble where interact knowledge seekers and knowledge sources by the means of a shared knowledge base.


Goal modelling

Goal modelling is one of the four EEML modelling domains age. A goal expresses the wanted (or unwanted) state of affairs (either current or future) in a certain context. Example of the goal model is depicted below. It shows goals and relationships between them. It is possible to model advanced goal-relationships in EEML by using goal connectors. A goal connector is used when one need to link several goals. Image:Eemlgoal.JPG, Goal modeling in EEML File:Goal modeling Tabel.gif, Connecting relationships Image:Goalandprocess.JPG, Goal modeling and process modeling In goal modelling to fulfil Goal1, one must achieve to other goals: both Goal2 and Goal3 (goal-connector with “and” as the logical relation going out). If Goal2 and Goal3 are two different ways of achieving Goal1, then it should be “xor” logical relationship. It can be an opposite situation when both Goal2 and Goal3 need to be fulfilled and to achieve them one must fulfil Goal1. In this case Goal2 and Goal3 are linked to goal connector and this goal connector has a link to Goal1 with ”and”-logical relationship. The table indicates different types of connecting relationships in EEML goal modelling. Goal model can also be interlinked with a process model.


Goal and process oriented modelling

We can describe process model as models that comprise a set of activities and an activity can be decomposed into sub-activities. Yun Lin and Arne Sølvberg Goal Annotation of Process Models for Semantic Enrichment of Process Knowledge These activities have relationship amongst themselves. A goal describes the expected state of operation in a business enterprise and it can be linked to whole process model or to a process model fragment with each level activity in a process model can be considered as a goal. Goals are related in a hierarchical format where you find some goals are dependent on other sub goals for them to be complete which means all the sub goals must be achieved for the main goal to be achieved. There is other goals where only one of the goals need to be fulfilled for the main goal to be achieved. In goal modelling, there is use of deontic operator which falls in between the context and achieved state.J. Krogstie (2005) EEML2005: EXTENDED ENTERPRISE MODELING LANGUAGE Goals apply to tasks, milestones, resource roles and resources as well and can be considered as action rule for at task. EEML rules were also possible to although the goal modelling requires much more consultation in finding the connections between rules on the different levels.John Krogstie (2008) Using EEML for Combined Goal and Process Oriented Modeling: A Case Study. IDI, NTNU,Trondheim, Norway. Proceedings of EMMSAD 2008. Goal-oriented analysis focuses on the description and evaluation of alternatives and their relationship to the organisational objectives. Mylopoulos, Chung, and Yu (1999) : “From Object-oriented to Goal-oriented Requirements Analysis”. Communications of the ACM, January


Resource modeling

Resources have specific roles during the execution of various processes in an organisation. The following icons represent the various resources required in modelling. The relations of these resources can be of different types: :a. Is Filled By – this is the assignment relation between roles and resources. It has a cardinality of one-to-many relationship. :b. Is Candidate For – candidate indicates the possible filling of the role by a resource. :c. Has Member – this is a kind of relations between organisation and person by denoting that a certain person has membership in the organisation. Has a cardinality of many-to-many relation. :d. Provide Support To – support pattern between resources and roles. :e. Communicates With – Communication pattern between resources and roles. :f. Has Supervision Over – shows which role resource supervises another role or resource. :g. Is Rating Of – describes the relation between skill and a person or organisation. :h. Is required By – this is the primary skill required for this role :i. Has Access to – creating of models with the access rights.


Benefits

From a general point of view, EEML can be used like any other modelling languages in numerous cases. However we can highlight the virtual enterprise example, which can be considered as a direct field of application for EEML with regard to Extended Enterprise planning, operation, and management. * Knowledge sharing: Create and maintain a shared understanding of the scope and purpose of the enterprise, as well as viewpoints on how to fulfil the purpose. * Dynamically networked organisations: Make knowledge as available as possible within the organisation. * Heterogeneous infrastructures: Achieve a relevant knowledge sharing process through heterogeneous infrastructures. * Process knowledge management: Integrate the different business processes levels of abstraction. * Motivation: creates enthusiasm and commitment among members of an organisation to follow up on the various actions that are necessary to restructure the enterprise. EEML can help organisations meet these challenges by modelling all the manufacturing and logistics processes in the extended enterprise. This model allows capturing a rich set of relationships between the organisation, people, processes and resources of the virtual enterprise.H.D. Jørgensen (2004) Interactive Process Models. Department of Computer and Information Science Faculty of Information Technology, Mathematics and Electrical Engineering, Norwegian University of Science and Technology. Trondheim, Norway It also aims at making people understand, communicate, develop and cultivate solutions to business problemsR. Matulevičius and P. Heymans (2007) Visually Effective Goal Models Using KAOS. PReCISE Research Center, Computer Science Department, University of Namur, rue Grandgagnage 21,5000 Namur, Belgium. According to J. Krogstie (2008), enterprise models can be created to serve various purposes which include: # Human sense making and communication – the main purpose of enterprise modelling is to make sense of the real world aspects of an enterprise in order to facilitate communicate with parties involved. # Computer assisted analysis – the main purpose of enterprise modelling is to gain knowledge about the enterprise through simulation and computation of various parameters. # Model deployment and activation – the main purpose of enterprise modelling is to integrate the model in an enterprise-wide information system and enabling on-line information retrieval and direct work process guidance. EEML enables Extended Enterprises to build up their operation based on standard processes through allowing modelling of all actors, processes and tasks in the Extended Enterprise and thereby have clear description of the Extended Enterprise. Finally, models developed will be used to measure and evaluate the Extended Enterprise.


See also

* i* *
Modeling language A modeling language is any artificial language that can be used to express information or knowledge or systems in a structure that is defined by a consistent set of rules. The rules are used for interpretation of the meaning of components in the st ...
*
Semantic parameterization Semantic parameterization is a conceptual modeling process for expressing natural language descriptions of a domain in first-order predicate logic.T.D. Breaux, A.I. Anton, J. Doyle"Semantic parameterization: a process for modeling domain description ...
*
Software design Software design is the process by which an agent creates a specification of a software artifact intended to accomplish goals, using a set of primitive components and subject to constraints. Software design may refer to either "all the activity ...
*
Software development methodology In software engineering, a software development process is a process of dividing software development work into smaller, parallel, or sequential steps or sub-processes to improve design, product management. It is also known as a software devel ...


References


Further reading

* Bolchini, D., Paolini, P.: "Goal-Driven Requirements Analysis for Hypermedia-intensive Web Applications", Requirements Engineering Journal, Springer, RE03 Special Issue (9) 2004: 85-103. * Jørgensen, Håvard D.: "Process-Integrated eLearning" * Kramberg, V.: tp://ftp.informatik.uni-stuttgart.de/pub/library/medoc.ustuttgart_fi/DIP-2787/DIP-2787.pdf "Goal-oriented Business Processes with WS-BPEL" Master Thesis, University of Stuttgart, 2008. *
John Krogstie John Krogstie (born 23 May 1967) is a Norwegian computer scientist, professor in information systems at the Norwegian University of Science and Technology (NTNU) in Trondheim, Norway, and an expert in the field of enterprise modelling. Biography ...
(2005). EEML2005: Extended Enterprise Modeling Language *
John Krogstie John Krogstie (born 23 May 1967) is a Norwegian computer scientist, professor in information systems at the Norwegian University of Science and Technology (NTNU) in Trondheim, Norway, and an expert in the field of enterprise modelling. Biography ...
(2001). "A Semiotic Approach to Quality in Requirements Specifications" (Proc. IFIP 8.1) IFIP 8.1. Working Conference on Organizational Semiotics. * Lin Liu, Eric Yu. "Designing information systems in social context: a goal and scenario modelling approach"


External links

{{Commons category, Extended Enterprise Modeling Language
Description of EEML

GRL web site
University of Toronto,
"The Business Motivation Model
Business Governance in a Volatile World", Release 1.3, Business Rules Group, 2007. Business process Enterprise modelling modeling languages