scholarly journals Agile Service-oriented Analysis and Design of Industrial Internet Applications

Procedia CIRP ◽  
2016 ◽  
Vol 57 ◽  
pp. 219-223 ◽  
Author(s):  
Thomas Usländer
Author(s):  
Remigijus Gustas

This chapter presents a pragmatic-driven approach for service-oriented information system analysis and design. Its uniqueness is in exploiting a design foundation for graphical description of the semantic and pragmatic aspects of business processes that is based on the service-oriented principles. Services are viewed as dynamic subsystems. Their outputs depend not only on inputs, but on a service state as well. Intentions of business process experts are represented in terms of a set of pragmatic dependencies, which are driving the overall system engineering process. It is demonstrated how pragmatic aspects are mapped to conceptual representations, which define the semantics of business design. In contrast to the traditional system development methodologies, the main difference of the service-oriented approach is that it integrates the static and dynamic aspects into one type of diagram. Semantics of computation independent models are expressed by graphical specifications of interactions between service providers and service consumers. Semantic integrity control between static and dynamic dependencies of business processes is a one of the major benefits of service-oriented analysis and design process. It is driven by pragmatic descriptions, which are defined in terms of goals, problems and opportunities.


2018 ◽  
Vol 10 (10) ◽  
pp. 100 ◽  
Author(s):  
Thomas Usländer ◽  
Thomas Batz

The emerging Industrial Internet of Things (IIoT) will not only leverage new and potentially disruptive business models but will also change the way software applications will be analyzed and designed. Agility is a need in a systematic service engineering as well as a co-design of requirements and architectural artefacts. Functional and non-functional requirements of IT users (in smart manufacturing mostly from the disciplines of mechanical engineering and electrical engineering) need to be mapped to the capabilities and interaction patterns of emerging IIoT service platforms, not to forget the corresponding information models. The capabilities of such platforms are usually described, structured, and formalized by software architects and software engineers. However, their technical descriptions are far away from the thinking and the thematic terms of end-users. This complicates the transition from requirements analysis to system design, and hence the re-use of existing and the design of future platform capabilities. Current software engineering methodologies do not systematically cover these interlinked and two-sided aspects. The article describes in a comprehensive manner how to close this gap with the help of a service-oriented analysis and design methodology entitled SERVUS (also mentioned in ISO 19119 Annex D) and a corresponding Web-based Platform Engineering Information System (PEIS).


Author(s):  
LONGBING CAO

Engineering open complex systems is challenging because of system complexities such as openness, the involvement of organizational factors and service delivery. It cannot be handled well by the single use of existing computing techniques such as agent-based computing and service-oriented computing. Due to the intrinsic organizational characteristics and the request of service delivery, an integrative computing paradigm combining agent, service, organizational and social computing can open complex systems more effectively engineering. In this paper, we briefly introduce an integrative computing approach named OASOC for system analysis and design. It combines and complements the strengths of agent, service and organizational computing to handle the complexities of open complex systems. OASOC provides facilities for organization-oriented analysis and agent service-oriented design. It also supports transition between analysis and design. Compared with the existing approaches, our approach can (1) support service and organization that are either rarely or weakly covered by single computing methods, (2) provide effective mechanisms to integrate agent, service and organizational computing, and (3) complement the strengths of various methods. Experiences in engineering an online trading support system have further shown the workable capability of integrating agent, service and organizational computing for engineering open complex systems.


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