Areas and Topics



1. BUSINESS PROCESSES AND ENTERPRISE ENGINEERING
enterprise systems
enterprise system environments and context
construction and function
actor roles
signs and affordances
transactions
business processes
business process coordination
business process optimization
business process management and strategy execution
production acts and coordination acts
regulations and business rules
enterprise (re-) engineering
enterprise interoperability
inter-enterprise coordination
enterprise engineering and architectural governance
enterprise engineering and software generation
enterprise innovation

2. BUSINESS MODELS AND REQUIREMENTS
essential business models
re-usable business models
business value models
business process models
business goal models
integrating data analytics in business modeling
semantics and business data modeling
pragmatics and business behavior modeling
business modeling viewpoints and overall consistency
business modeling landscapes
augmented and virtual-reality-based enterprise modeling
requirements elicitation
domain-imposed and user-defined requirements
requirements specification and modeling
requirements analysis and verification
requirements evolution
requirements traceability
usability and requirements elicitation

3. BUSINESS MODELS AND SERVICES
enterprise engineering and service science
service-oriented enterprises
from business modeling to service-oriented solutions
business modeling for software-based services
service engineering
business-goals-driven service discovery and modeling
technology-independent and platform-specific service modeling
re-usable service models
business-rules-driven service composition
web services
autonomic service behavior
context-aware service behavior
service interoperability
change impact analysis and service management
service monitoring and quality of service
services for IoT applications
service innovation

4. BUSINESS MODELS AND SOFTWARE
enterprise engineering and software development
model-driven engineering
co-design of business and IT systems
business-IT alignment and traceability
alignment between IT architecture and business strategy
business strategy and technical debt
business-modeling-driven software generation
normalized systems and combinatorial effects
software generation and dependency analysis
component-based business-software alignment
objects, components, and modeling patterns
generic business modeling patterns and software re-use
business rules and software specification
business goals and software integration
business innovation and software evolution
software technology maturity models
domain-specific models
croscutting concerns - security, privacy, distribution, recoverability, logging, performance monitoring

5. INFORMATION SYSTEMS ARCHITECTURES AND PARADIGMS
enterprise architectures
service-oriented computing
software architectures
cloud computing
autonomic computing (and intelligent software behavior)
context-aware computing (and adaptable software systems)
affective computing (and user-aware software systems)
aspect-oriented computing (and non-functional requirements)
architectural styles
architectural viewpoints

6. DATA ASPECTS IN BUSINESS MODELING AND SOFTWARE DEVELOPMENT
data modeling in business processes
data flows and business modeling
databases, OLTP, and business processes
data warehouses, OLAP, and business analytics
data analysis, data semantics, redundancy, and quality-of-data
data mining, knowledge discovery, and knowledge management
information security and business process modeling
categorization, classification, regression, and clustering
cluster analysis and predictive analysis
ontologies and decision trees
decision tree induction and information gain
business processes and entropy
machine learning and deep learning - an enterprise perspective
uncertainty and context states
statistical data analysis and probabilistic business models

7. BLOCKCHAIN-BASED BUSINESS MODELS AND INFORMATION SYSTEMS
smart contracts
blockchains for business process management
blockchain schemes for decentralization
the blockchain architecture - implications for systems and business processes
blockchains and the future of enterprise information systems
blockchains and security / privacy / trust issues

8. IoT AND IMPLICATIONS FOR ENTERPRISE INFORMATION SYSTEMS
the IoT paradigm
IoT data collection and aggregation
business models and IoT
IoT-based software solutions
IoT and context-awareness
IoT and public values
IoT applications: smart cities, e-Health, smart manufacturing.