Service-Oriented Foundation and Analysis Patterns for Conceptual Model-ling of Information Systems

Gustas, Remigijus; Gustiené, Prima

doi:10.1007/978-0-387-68772-8_20

Cited by 9 publications

(11 citation statements)

References 5 publications

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“…Communication dependencies are used to illustrate relations between actors, their actions and communication flows [16]. By applying the semantic aspects of EM, it is also possible to illustrate and represent system analysis patterns such as sequence, synchronization, iteration, selection and search [18] and to integrate static and dynamic aspects into one schema.…”

Section: The Karlstad Enterprise Modeling Approachmentioning

confidence: 99%

A Rule-Based Approach for the Recognition of Similarities and Differences in the Integration of Structural Karlstad Enterprise Modeling Schemata

Bellström

2010

Lecture Notes in Business Information Processing

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In this paper, we address the recognition of similarities and differences in schema integration while applying the notation in the Karlstad Enterprise Modeling approach. In doing so, we describe and present a set of "if-then" rules. In these rules, we make use of both concept name comparison and comparison of concept neighborhoods (their surroundings). Following the classification of schema matching approaches given by [26], the rules are classified as a composite schema-based matching approach. The rules should first of all be viewed as a step towards a semi-automatic method for the recognition of similarities and differences in the integration of structural Karlstad Enterprise Modeling schemata. By applying the proposed rules, several problems, such as homonyms and synonyms, might be recognized that otherwise could pass unnoticed.

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Section: The Karlstad Enterprise Modeling Approachmentioning

confidence: 99%

A Rule-Based Approach for the Recognition of Similarities and Differences in the Integration of Structural Karlstad Enterprise Modeling Schemata

Bellström

2010

Lecture Notes in Business Information Processing

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“…Service interactions are helpful for clarifying why actors are willing to exchange flows with each other. Nevertheless, majority of conceptual modeling methods are not able to capture interaction flows between actors (Gustas & Gustiene, 2009). Actions and flows can be viewed as fundamental elements for defining business scenarios.…”

Section: Semantic Integration Of Interactive and Behavioral Aspectsmentioning

confidence: 99%

“…Interaction dependency R(A B) between two active concepts A and B indicates that A subsystem can perform action R on one or more B subsystems. An action typically manipulates properties of some objects (Gustas & Gustiene, 2009). Otherwise, this action is not useful.…”

Section: Fig 5 Main Actors and Interactions Of A Conference Managemmentioning

confidence: 99%

“…Understanding of interaction flow sequences among enterprise components is important for system architects to move smoothly from system analysis to design, without requirement to represent a complete solution. Interaction modeling (Gustas & Gustiene, 2009) helps to develop a coherent graphical representation of business process and business data. Interaction modeling in terms of data flows was the strength of structured analysis and design methods (Gane & Sarson, 1979), (Yourdon & Constantine, 1979).…”

Section: Introductionmentioning

confidence: 99%

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Integration of Interactive, Behavioral and Structural Aspects of Conceptual Models

Gustas

2010

Lecture Notes in Business Information Processing

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Conceptual modeling is an essential part of enterprise engineering activity. Unfortunately, enterprise modeling methods are projecting interactive, behavioral and structural dimensions of conceptualizations into totally different diagram types. If static and dynamic aspects are analyzed separately, they are more difficult to visualize and to understand for stakeholders. Moreover, in the traditional approaches, there is a paradigmatic mismatch among different enterprise architecture modeling dimensions. Analysis of interplay among interactions, state changes and object creation/termination effects is necessary for understanding integrity problems of conceptualizations. The goal of this paper is to present a modeling approach for semantic integration of static and dynamic views of conceptual models. The presented modeling method can be used for separation of crosscutting concerns of computation neutral specifications.

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“…The traditional IS methodologies are quite weak in integrating interaction dependencies with the related behavioral effects and representing consequences if commitments in delivering value flows are broken. Early graphical representations of IS conceptualizations can be defined in terms of interaction flows (Gustas & Gustiene, 2009) among enterprise components that keep system viable. Modeling of service interactions is crucial from system analysis and design point of view for several reasons.…”

Section: Introductionmentioning

confidence: 99%

Modeling Approach for Integration and Evolution of Information System Conceptualizations

Gustas

2011

International Journal of Information System Modeling and Design

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Most information systems development methodologies are based on conceptual modeling of static and dynamic views, which are represented by totally different types of diagrams. Understanding of the interplay among interactive, behavioral and structural aspects of specifications is necessary for identification of semantic integrity problems between business process and business data. Typically, semantic inconsistencies and discontinuities between collections of conceptual representations are not easy to detect and to comprehend for information system designers due to static and dynamic aspects of models being visualized in isolation. The goal of this paper is to present a modeling approach for semantic integration and evolution of static and dynamic aspects of conceptual models. Visualization of interplay among structural, interactive and behavioral aspects of computation-neutral representations helps to understand crosscutting concerns and integrity problems of information system conceptualizations. The main advantage of the presented conceptual modeling approach is stability and flexibility of diagrams in dealing with the evolutionary changes of requirements. Therefore, the developed modeling foundation is targeted to both business managers and information system designers for the purpose of computation-neutral integration and evolution of information systems specifications.

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Service-Oriented Foundation and Analysis Patterns for Conceptual Model-ling of Information Systems

Cited by 9 publications

References 5 publications

A Rule-Based Approach for the Recognition of Similarities and Differences in the Integration of Structural Karlstad Enterprise Modeling Schemata

A Rule-Based Approach for the Recognition of Similarities and Differences in the Integration of Structural Karlstad Enterprise Modeling Schemata

Integration of Interactive, Behavioral and Structural Aspects of Conceptual Models

Modeling Approach for Integration and Evolution of Information System Conceptualizations

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