Enterprise interoperability assessment: a requirements engineering approach

Abstract

One of the main challenges within collaborative business ecosystems is the management of Interoperability. Indeed, Interoperability is a crucial prerequisite that must be satisfied when enterprises need to work together for seizing new business opportunities and improving competitiveness. To develop and improve enterprise systems interoperability, a set of interoperability requirements needs to be verified. Indeed, knowing the different requirements and their relationships are paramount for identifying potential impacts on the overall system. Many research work have been proposed in the literature for defining and analysing such requirements. However, existing work do not explicitly specify the interdependencies between interoperability requirements. The objective of this article is, therefore, to investigate and define the interoperability requirements and their interdependencies. This will provide a holistic and clear view of the relations between the system components and their associated requirements. Therefore, one will be able to identify potential causes of the non-fulfilment of requirements, and their impacts on the concerned system. To do so, a Requirements Engineering approach is used to identify and formalise interoperability requirements and their relationships.

A framework for assessing capability in organisations using enterprise models

“…The evaluation process initiates with the selection of the modelling language and the assessment framework , which contains a list of requirements. Once is chosen, the requirements defined by the framework must be decomposed into a list of atomic requirements [ 1 , 2 , ..., ] ∈ , which are defined as requirements that cannot be broken down into smaller ones, similar to atomic statements in logic [58].…”

“…To perform Requirements Decomposition we rely on the approach proposed in [55], which was successfully applied to different contexts in the literature such as software analysis [59] and interoperability assessment [58]. The method allows to perform requirements decomposition and formalisation through a data structure called Pseudo-Requirement Graph, which considers two types of objects: Pseudo-Requirements and Refinements.…”

Enterprise Integration and Interoperability for Big Data-Driven Processes in the Frame of Industry 4.0

“…In addition, during the last years, new domain-specific interoperability frameworks have been proposed, such as the European Interoperability Framework (EIF) (EIF, 2017 ), the Internet of Things-based interoperability framework for fleet management (Backman et al, 2016 ), the Smart City Interoperability Framework (Ahn et al, 2016 ), the interoperability framework for software as service systems in cloud (Rezaei et al, 2014 ), the International Image Interoperability Framework (Snydman et al, 2015 ), and the conceptual interoperability framework for large-scale systems (Selway et al, 2017 ). Overall, the enterprise interoperability frameworks can be seen in the frame of three main layers (Romero and Vernadat, 2016 ; Leal et al, 2020 ; Technical, Semantic, and Organizational).…”

Preparedness and Response Strategy: Human Mobility Population Mapping Approach, Health Interoperability, and Informatics to Manage Outbreaks or Pandemics

“…On the other hand, when design objectives are not matched to reality objectives, there are greater chances of HIS implementation when contends in the design-reality gap model [27]. Again, whenever the interoperability principle is not matched to the context of integration or missing the chances of system implementation failure is high [28]. Some authors argue for a thorough analysis of the context of integration in order to get a clear prescription of interoperability design prerequisites that are inherent to all participating entities into a set of system design requirements [29].…”