Due to numerous requests with reference to Easter holidays around the first deadline, we offer a final extension of the submission deadline.

Paper submission due: April 1, 2016April 7, 2016

Abstract submission (Mandatory): April 13, 2016

Paper submission: April 17, 2016

Notification: May 30, 2016

Camera-ready papers due: July 1, 2016

The EDOC 2016 conference seeks high-quality contributions addressing the domains, life-cycle issues, and realization technologies involved in building, deploying and operating enterprise computing systems. Suggested areas include, but are not limited to:

Enterprise Architecture and Enterprise Application Architecture

  • Enterprise architecture frameworks
  • Enterprise architecture analysis, assessment and prediction
  • Cloud computing and the evolution of enterprise architectures
  • Enterprise ontologies
  • Innovative approaches to architecture management

Model-based Approaches

  • Model-driven architectures and model-driven software development
  • Modeling based on domain specific languages (DSL)
  • Approaches based on reference architectures
  • Collaborative development and cooperative engineering issues

Service-oriented Architectures (SOA) and Enterprise Service Architectures (ESA)

  • Service engineering and evolution of related specifications
  • Semantics-based service engineering
  • Service composition, orchestration and choreography
  • Governance in Service-oriented ArchitecturesService policies, contract definition and enforcement
  • Security/privacy policy interoperability

Business process management (BPM)

  • Business process modeling, verification, configuration and implementation
  • Process-aware information systems (PAIS), Human-centric PAIS, Social BPM
  • Managing business process variability, adaptation and evolution in PAIS
  • Process mining and its application in business analytics
  • Distributed and cross-organizational business processes
  • Data-intensive processes
  • Cloud impact on BPM, business processes in the cloud
  • Adaptive case management and data-driven processes

Business analytics

  • Modeling and predictive analytics for enterprise computing
  • Data-driven enterprise strategy
  • Collaboration enterprise analytic platforms
  • Business process intelligence (e.g., process performance management)
  • Continuous, online analytics for big data in the enterprise
  • Natural language processing in enterprise systems

Business rules

  • Business rule languages and engines
  • Relation between business rules and business processes
  • Business rules and service computing
  • Business rules and compliance management, business process compliance

Information integration and interoperability

  • Business object modeling methodologies and approaches
  • Taxonomies, ontologies and business knowledge integration
  • Master data management, data mining and (real-time) data warehousing
  • Flexible information models and systems (e.g., object-driven processes)
  • Data quality and trustworthiness
  • Complex event processing and event-driven architectures

Networked Enterprise Solutions

  • Enterprise interoperability, collaboration and its architecture
  • Virtual organizations, including multi-agent system support
  • Cross-enterprise collaboration in a world of cloud, social and big data
  • Digital platforms and ecosystems
  • Trust management

Enterprise applications deployment and governance

  • Performance and operational risk prediction and measurement
  • Quality of service (QoS) and cost of service (CoS)
  • Management and maintenance of enterprise computing systems
  • Information assurance
  • Human and social organizational factors in enterprise computing

Emerging trends in distributed enterprise applications

  • Social information and innovation networks, social media impact on the enterprise
  • People-centric collaboration systems, people-centric services
  • Private and public cloud computing Infrastructures
  • Idea management and crowdsourcing
  • Enterprise 2.0, Web 2.0 and beyond
  • Mobile enterprise services
  • Industry specific solutions (e.g. for aerospace, automotive, finance, logistics, medicine and telecommunications)
  • Research and public sector collaboration (e.g. in e-health, e-government, e-science)