CAiSE 2014 - 2014 Conference on Advanced Information Systems Engineering

Real-time information systems and overly complex financial products have been blamed as causes of recent financial crises. The IS Engineering community is treating such phenomena as challenges, to be addressed through research and improved practices. In particular, our community has begun to address the role of information systems in predicting, preventing, and reacting to crises of many different kinds: data-centric financial and fiscal dependency analysis of the globalized financial systems, resilience of critical infrastructures by information management, reaction to natural disasters such as fires, floods, earthquakes, etc. Due to the very nature of crises as unexpected events with broad and vast impact, IS Engineering challenges traditional wisdom and methodologies, as well as interactions between research and practice β?? including stakeholders such as crisis victims.
CAiSE '14 will, as always, act as a forum of discussion that brings together researchers and practitioners in the field of IS Engineering. It will be the place to share mature research, ground-breaking ideas, and experience reports in our discipline.
CAiSE welcomes all submissions that fall in the domain of information systems engineering. This year, the conference extends a special welcome to papers that address the role of IS engineering in crisis situations. Four kinds of contributions are accepted: technical papers, empirical evaluation papers, reports of experience, and exploratory papers. The CAiSE topics of interest include, but are not restricted to:
Methods, techniques and tools for IS engineering
Innovation and creativity in IS engineering
Enterprise architecture and enterprise modelling
Requirements engineering
Business process modeling, analysis and management
Requirements, models, and software reuse
Adaptation, evolution and flexibility issues
Domain engineering
IS in networked & virtual organizations
Method engineering
Knowledge, information, and data quality
Languages and models
Mining, monitoring and predicting
Variability and configuration
Matching, compliance and alignment issues
Conceptual design and modelling
Security
Service science
Innovative platforms, architectures and technologies for IS
Service-oriented architecture
Model-driven architecture
Component based development
Agent architecture
Distributed, mobile, and open architecture
Innovative database technology
Semantic web
IS and ubiquitous technologies
Adaptive and context-aware IS
Domain specific IS engineering:
Crisis Management
eGovernment
Enterprise applications (ERP, COTS)
Data warehouses and business intelligence
Workflow systems
Knowledge management systems
Content management systems