Extensions to the CBDI-SAE SOA Meta Model.
[http://everware-cbdi.com/index.php?cID=22&cType=document ]
Purpose:
- Conceptual level modeling exercise to scope changes to (packages of) detailed model.
- Communicate relationships between Cloud Computing and SOA
- From a Consumer’s perspective
Background:
The CBDI-SAE SOA meta model is a detailed meta class model providing precision necessary to support architecture and design deliverable and complementary asset and life cycle repository schema.
The CBDI-SAE model is the basis for the CBDI-SAE UML Profile which is aligned with SoaML.
Nomenclature
Meta Class Naming: Xxxxx::Yxxxxx = SAE Package::SAEMeta Class
Multiciplicity: Simplified, either one of many
Note: The Packages ITSM and Security are currently not defined in the CBDI-SAE model, and are placeholders representing a requirement.
Extensions to the CBDI-SAE SOA Meta Model.
[http://everware-cbdi.com/index.php?cID=22&cType=document ]
Purpose:
- Conceptual level modeling exercise to scope changes to (packages of) detailed model.
- Communicate relationships between Cloud Computing and SOA
- From a Consumer’s perspective
Background:
The CBDI-SAE SOA meta model is a detailed meta class model providing precision necessary to support architecture and design deliverable and complementary asset and life cycle repository schema.
The CBDI-SAE model is the basis for the CBDI-SAE UML Profile which is aligned with SoaML.
Nomenclature
Meta Class Naming: Xxxxx::Yxxxxx = SAE Package::SAEMeta Class
Multiciplicity: Simplified, either one of many
Note: The Packages ITSM and Security are currently not defined in the CBDI-SAE model, and are placeholders representing a requirement.
MR^3: Meta-Model Management based on RDFs Revision ReflectionTakeshi Morita
We propose a tool to manage several sorts of relationships among RDF and RDFS. Our tool consists of three main functions: graphical editing of RDF contents, graphical editing of RDFS contents, and meta-model management facility. Metamodel management facility supports maintenance of relationship between RDF and RDFS contents. The above facilities are implemented based on plug-in system. We provide basic plug-in modules for consistency checking of RDFS classes and properties. The prototyping tool, called MR^3 (Meta-Model Management based on RDFs Revision Reflection), is implemented by Java language. Through the experiment of using MR^3, we show how MR^3 contributes the Semantic Web paradigm from the standpoint of RDFs contents management.
Quality, and the 7Loci Meta-Model as one of my 2016-2017 lectures at the Univ...Roberto Peretta
Quality, and the 7Loci Meta-Model as one of my 2016-2017 lectures at the University of Bergamo. It's stimulus material, posted to improve communication with current students. It's not interesting for the academia.
COBI 2014 - An Empirical Evaluation of Capability Modelling using Design Rati...CaaS EU FP7 Project
The purpose of this paper, which was presented at the Cobi 2014 workshop as full paper, is to report on the utility of a specific meta-model in terms of the design and process for defining capabilities. This investigation was carried out through the FR use case that involved capability modelling on the same application, by different designers. Each approach was documented using design rationale techniques.
COBI 2014 - Designing a Meta Model as the Foundation for Compliance CapabilityCaaS EU FP7 Project
The goal of this paper lead by FR, which was presented at the Cobi 2014 workshop as full paper, is to depict compliance concepts and the relations between them, as a conceptual meta-model. It aims to assist business analysts to extract compliance rules from compliance documents and to enable compliance enforcement in all the phases of business process lifecycle.
Applying Quality Function Deployment method for business architecture alignmentDmitry Kudryavtsev
Kudryavtsev D., Grigoriev L., Koryshev I. Applying Quality Function Deployment method for business architecture alignment. Proceedings of the 8th European Conference on IS Management and Evaluation (ECIME 2014), Ghent, Belgium, 11-12 September 2014, 118-127.
Strategic alignment is an important issue for business architecture. The alignment concept may have many facets, but this paper mainly focuses on such aspects of an enterprise as behaviour and resources. Stakeholder concerns and customer values must define the right priorities and goals for the elements of value configuration, capabilities and resources. The right projects must be launched to develop and improve key business architecture elements. This paper suggests the model-oriented method for business architecture alignment, which uses proven matrix-based Quality Function Deployment (QFD) methodology for analysis, decision making and communication. This method can complement standard diagramming enterprise architecture methods. Although QFD was initially created for product design, it has many applications in strategy deployment. But in spite of a longstanding history, elements chosen for “strategic” QFD vary and are poorly aligned with existing business architecture concepts. In order to clarify the link between the suggested QFD method and business architecture elements, a meta-model is suggested, which specifies the contents of the matrices. The suggested meta-model is based on the existing reference ontologies and meta-models for strategic management. This ontological foundation supports knowledge sharing and applicability of the business architecture alignment method. Tool support (EAM-tool plugin) and method applications are also covered in this paper.
The concept of capability is a cornerstone element in service description. Nevertheless, despite its fundamental role little effort has been seen to model service capabilities. Current approaches either fail to consider capabilities as feature-based entities and confuse them with annotated invocation interfaces or fail in modelling capabilities at several abstraction levels and establishing links between them. In particular, they are not able to model and deal with concrete capabilities (i.e., capabilities that reflect real customers' needs). In this paper, we propose a conceptual model as an RDF-schema for describing service capabilities. Our model defines capabilities as an action verb and a set of attributes and their values. It is also able to define capabilities at different levels of abstractions/concreteness and establish links between them. Most importantly, our model enables describing concrete capabilities which directly correspond to consumer needs. Our meta model is based on RDF and makes use of Linked Data to define capability attributes as well as their values.
A common meta model for data analysis based on DSMYvette Teiken
Realization and usage of advanced decision support systems are
cost intensive. They require expert users during data collection
and analysis task. Implementing these systems is time consuming
and thus costly. This leads to the problem that SMEs (Small and
Medium-sized Enterprises) often cannot afford these systems. In
this paper we describe our aim of creating a DSM (Domain Specific
Modeling) based top-down approach to generate advanced decision
support systems. This approach is based on a family of DSLs
(Domain Specific Language) that share a common meta-model.
With this we aim to establish a faster and more affordable process
for data analysis which better fits for SMEs.
Introducing the Enterprise Transformation Meta ModelRenee Troughton
Finally there is a meta model out there to be able to simply and easily compare and contrast not only Agile methods but any type of change that you may be introducing into an organisation.
This presentation lightly covers the model, but importantly goes through over fifty Agile and edgy Agile related methods and movements, highlighting where they sit in the model.
For more information about the Enterprise Transformation Meta Model refer to:
http://www.enterprisetransformationmetamodel.com
MR^3: Meta-Model Management based on RDFs Revision ReflectionTakeshi Morita
We propose a tool to manage several sorts of relationships among RDF and RDFS. Our tool consists of three main functions: graphical editing of RDF contents, graphical editing of RDFS contents, and meta-model management facility. Metamodel management facility supports maintenance of relationship between RDF and RDFS contents. The above facilities are implemented based on plug-in system. We provide basic plug-in modules for consistency checking of RDFS classes and properties. The prototyping tool, called MR^3 (Meta-Model Management based on RDFs Revision Reflection), is implemented by Java language. Through the experiment of using MR^3, we show how MR^3 contributes the Semantic Web paradigm from the standpoint of RDFs contents management.
Quality, and the 7Loci Meta-Model as one of my 2016-2017 lectures at the Univ...Roberto Peretta
Quality, and the 7Loci Meta-Model as one of my 2016-2017 lectures at the University of Bergamo. It's stimulus material, posted to improve communication with current students. It's not interesting for the academia.
COBI 2014 - An Empirical Evaluation of Capability Modelling using Design Rati...CaaS EU FP7 Project
The purpose of this paper, which was presented at the Cobi 2014 workshop as full paper, is to report on the utility of a specific meta-model in terms of the design and process for defining capabilities. This investigation was carried out through the FR use case that involved capability modelling on the same application, by different designers. Each approach was documented using design rationale techniques.
COBI 2014 - Designing a Meta Model as the Foundation for Compliance CapabilityCaaS EU FP7 Project
The goal of this paper lead by FR, which was presented at the Cobi 2014 workshop as full paper, is to depict compliance concepts and the relations between them, as a conceptual meta-model. It aims to assist business analysts to extract compliance rules from compliance documents and to enable compliance enforcement in all the phases of business process lifecycle.
Applying Quality Function Deployment method for business architecture alignmentDmitry Kudryavtsev
Kudryavtsev D., Grigoriev L., Koryshev I. Applying Quality Function Deployment method for business architecture alignment. Proceedings of the 8th European Conference on IS Management and Evaluation (ECIME 2014), Ghent, Belgium, 11-12 September 2014, 118-127.
Strategic alignment is an important issue for business architecture. The alignment concept may have many facets, but this paper mainly focuses on such aspects of an enterprise as behaviour and resources. Stakeholder concerns and customer values must define the right priorities and goals for the elements of value configuration, capabilities and resources. The right projects must be launched to develop and improve key business architecture elements. This paper suggests the model-oriented method for business architecture alignment, which uses proven matrix-based Quality Function Deployment (QFD) methodology for analysis, decision making and communication. This method can complement standard diagramming enterprise architecture methods. Although QFD was initially created for product design, it has many applications in strategy deployment. But in spite of a longstanding history, elements chosen for “strategic” QFD vary and are poorly aligned with existing business architecture concepts. In order to clarify the link between the suggested QFD method and business architecture elements, a meta-model is suggested, which specifies the contents of the matrices. The suggested meta-model is based on the existing reference ontologies and meta-models for strategic management. This ontological foundation supports knowledge sharing and applicability of the business architecture alignment method. Tool support (EAM-tool plugin) and method applications are also covered in this paper.
The concept of capability is a cornerstone element in service description. Nevertheless, despite its fundamental role little effort has been seen to model service capabilities. Current approaches either fail to consider capabilities as feature-based entities and confuse them with annotated invocation interfaces or fail in modelling capabilities at several abstraction levels and establishing links between them. In particular, they are not able to model and deal with concrete capabilities (i.e., capabilities that reflect real customers' needs). In this paper, we propose a conceptual model as an RDF-schema for describing service capabilities. Our model defines capabilities as an action verb and a set of attributes and their values. It is also able to define capabilities at different levels of abstractions/concreteness and establish links between them. Most importantly, our model enables describing concrete capabilities which directly correspond to consumer needs. Our meta model is based on RDF and makes use of Linked Data to define capability attributes as well as their values.
A common meta model for data analysis based on DSMYvette Teiken
Realization and usage of advanced decision support systems are
cost intensive. They require expert users during data collection
and analysis task. Implementing these systems is time consuming
and thus costly. This leads to the problem that SMEs (Small and
Medium-sized Enterprises) often cannot afford these systems. In
this paper we describe our aim of creating a DSM (Domain Specific
Modeling) based top-down approach to generate advanced decision
support systems. This approach is based on a family of DSLs
(Domain Specific Language) that share a common meta-model.
With this we aim to establish a faster and more affordable process
for data analysis which better fits for SMEs.
Introducing the Enterprise Transformation Meta ModelRenee Troughton
Finally there is a meta model out there to be able to simply and easily compare and contrast not only Agile methods but any type of change that you may be introducing into an organisation.
This presentation lightly covers the model, but importantly goes through over fifty Agile and edgy Agile related methods and movements, highlighting where they sit in the model.
For more information about the Enterprise Transformation Meta Model refer to:
http://www.enterprisetransformationmetamodel.com