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Enterprise Systems (ES)

Enterprise systems are the large-scale, distributed, highly complex, and business-critical software systems that extend across and between organisations. The Enterprise Systems group studies the unique technical and socio-technical challenges involved in the analysis, design, implementation, deployment and management of these types of systems.

Group Aims

The group undertakes research and teaching on fundamental aspects of developing and operating enterprise systems. Cross-cutting themes for the group include the scalability of development techniques, architectures, and systems; agile approaches to design and development; identifying and handling unexpected behaviors; and issues of security, confidentiality and privacy.

Much of the group's work is performed in collaboration with other research groups in the department, with other departments at the University - such as the The York Management School, and York Law School - and with a number of leading industry partners.

Senior Member: Richard Paige

Contact Person: Richard Paige

Research Areas

Specific research topics currently being studied by the group include:

  • Model-Driven Engineering
  • Enterprise, System and Organisational Architectures
  • Agile Processes
  • Distributed Systems
  • Software Testing
  • Work on Model-Driven Development (MDD) includes improved processes for applying MDD to high-integrity computer systems, complex systems, and distributed computing. Recent results include a language and tool for comparing, merging, and transforming models produced in MDD, theories for proving conformance and consistency semi-automatically, and a domain-specific architectural modelling language.

Research Projects

Our research projects include:

  • LSCITS: Large Scale Complex IT Systems Research Programme - supported by the Engineering and Physical Sciences Research Council (EPSRC)
  • OSSMETER: Open Source Software Meter - supported by the European Commission FP7
  • COMPASS: Safety Management in Complex Air Traffic Management Systems of Systems - supported by SESAR
  • MONDO: Scalable Modelling and Model Management on the Cloud - supported by the European Commission FP7
  • Runtime Quantitative Verification of Self-Adaptive AI Systems - supported by Dstl

Industrial Partners

  • IBM
  • Detica
  • Credit Suisse
  • BAE Systems
  • National Physics Laboratory
  • Thales R&T
  • TXT
  • Softeam

Academic Collaborators

  • University of Birmingham
  • University of Bristol
  • TU Eindhoven, The Netherlands
  • Lancaster University
  • University of Leeds
  • King's College London
  • University of Nantes, France
  • University of Oxford
  • University of St Andrews
  • University of Southampton
  • University of Teesside
  • University of Toronto, Canada
  • CNRS-LAAS, Toulouse, France
  • The York Management School
  • York University, Canada
  • ETH Zurich, Switzerland

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Academic Members of the Group

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