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 Architectures

• Service 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, 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)