Model Matching Challenge: Benchmarks for Ecore and BPMN Diagrams

Pietsch, Pit; Müller, Klaus; Rumpe, Bernhard

doi:10.1007/s40568-013-0061-x

Cited by 10 publications

(10 citation statements)

References 9 publications

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“…Despite the outstanding advances in software engineering, existing difference-based approaches still have a number of limitations [40] as they lack the capability of providing efficient two-way comparison between the different revisions. Difference engines may make mistakes by displaying false-negative or false-positive correspondences, as we have previously seen it in this paper and as confirmed in [41] . After the customization of difference results and for reusability goals, many works tackled the process of capturing and constructing evolution operators [42][43][44][45][46] .…”

Section: Evolution Operatorssupporting

confidence: 77%

A scalable model based approach for data model evolution: Application to space missions data models

Oubelli

Aït‐Ameur

Bedouet

et al. 2018

Computer Languages, Systems & Structures

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Open Archive Toulouse Archive OuverteOATAO is an open access repository that collects the work of Toulouse researchers and makes it freely available over the web where possible a b s t r a c t During the development of a complex system, data models are the key to a successful engineering process, as they contain and organize all the information manipulated by the different functions involved in the design of the system. Moreover, these data models evolve throughout the design, as the development raises issues that have to be solved through a restructuration of data organization. But any such data model evolution has a deep impact on the functions that have already being defined.Recent research tries to deal with this issue by studying how complex industrial data models evolve from one version to another and how their data instances co-evolve. Complexity and scalability issues make this problem a major scientific challenge, leading to huge gains in development efficiency. This problem is of particular interest in the field of aeronautics and space systems. Indeed, the development of these systems produces many complex data models associated to the designed systems and/or to the systems under design, hence on the one hand data models are available. On the other hand, it is well known that these systems are developed in the context of collaborative projects that may last for decades. In such projects, specifications together with the associated data models are bound to evolve and engineering processes shall take into account this evolution.Our work addresses the problem of data model evolution in a model-driven engineering setting. We focus on minimizing the impact of model evolution on the system development processes in the specific context on the space engineering area, where data models may involve thousands of concepts and relationships, and we investigate the performance of the model-based development (MBD) approach we propose for data model evolution over two space missions, namely PHARAO and MICROSCOPE.

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Section: Evolution Operatorssupporting

confidence: 77%

A scalable model based approach for data model evolution: Application to space missions data models

Oubelli

Aït‐Ameur

Bedouet

et al. 2018

Computer Languages, Systems & Structures

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“…Pietsch et al [53] present a work where they emphasize the potential importance of semantic algorithms to support BPMN model comparison. They also identify a group of general matching problems (move, rename, etc.…”

Section: Using Model Matching To Implement Service Discoverymentioning

confidence: 99%

Business Process Execution From the Alignment Between Business Processes and Web Services: A Semantic and Model-Driven Modernization Process

et al. 2020

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Many companies have implemented their business processes in Web applications which must be frequently adapted so as to stay aligned with new business process requirements. Service-oriented architectures (SOAs) constitute an appropriate option to manage the continuous changes in those processes by facilitating their alignment with the changing underlying system services. In this context, firms are trying to migrate their Web applications to new software architectures such as SOAs. However, this migration is usually carried out ad-hoc by means of non-reusable and error-prone manual processes. Similarly, the alignment between the business processes and the underlying services identified is usually done by hand. This work presents a model-driven semiautomatic approach to modernize legacy Web applications to SOAs. The approach is focused on an automatic semantic process aimed at discovering the services that can be used to implement the business processes (defined by the companies), then aligning these processes with the underlying services. A semantic algorithm is provided to aid the migration architect during the alignment process. The case study carried out shows that the alignment process results obtained by the semantic algorithm presented in this paper are similar to those obtained by the experts manually. Finally, SOA orchestration artifacts are generated from the semantic algorithm results. INDEX TERMS Legacy Web applications, service-oriented architecture, semantic algorithms, model-driven techniques.

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“…This architecture shows certain extendibility to be proposed in the future but still need to be customized to be applied to several application scenarios according to specific demands. For instance Pietsch et al (2014) recently compared a group of general matching problems. This state-of-the-art comparison algorithms reported low quality results.…”

Section: Model Alignmentmentioning

confidence: 99%

Model-based approaches for interoperability of next generation enterprise information systems: state of the art and future challenges

Zacharewicz

Diallo

Ducq

et al. 2016

Inf Syst E-Bus Manage

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Enterprise businesses are more than ever challenged by competitors that frequently refine and tailor their offers to clients. In this context, enterprise information systems (EIS) are especially important because: (1) they remain one of the last levers to increase the performance and competitiveness of the enterprise, (2) we operate in a business world where the product itself has reached a limit of performance and quality due to uniform capacity of industrial tools in a globalized economy and (3) the EIS can increase the product value thanks to additional digital services (built on data associated to the product) in order to meet and fit better client's needs. However, the use of EISs reaches a limit in collaborative environments because enterprises management methods diverge and EISs are mainly inflexible resource packages that are not built with an interoperability objective. Consequently, we need to make EISs interoperable in order to achieve the needed gains competitiveness and performance. This paper contribution can be summarized as follows: (1) it relates existing work and it examines barriers that, at the moment, are preventing further improvements due to current methodological and technological limits, and (2) it proposes a conceptual framework and five challenges that model based approaches must overcome to achieve interoperability between EIS in the near and long term.

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Model Matching Challenge: Benchmarks for Ecore and BPMN Diagrams

Cited by 10 publications

References 9 publications

A scalable model based approach for data model evolution: Application to space missions data models

A scalable model based approach for data model evolution: Application to space missions data models

Business Process Execution From the Alignment Between Business Processes and Web Services: A Semantic and Model-Driven Modernization Process

Model-based approaches for interoperability of next generation enterprise information systems: state of the art and future challenges

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