DPSS 2014 - 2014 International Conference on Data, Processes, and Software Systems

Data play a vital role in software application systems including enterprise systems typically consisting of workflow/business management systems that use software processes or (web or e-)services adopting service oriented architecture (SOA). Data provide process (service) semantics (what a service performs, how its actions are related to the environment/context, etc.), and record progress of executions (activity or task status, resource usage and status, correlations, etc.). On the other hand, process execution further generates additional data that are extremely useful for monitoring, auditing, compliance checking, etc. Process descriptions and execution logs could also be managed, queried, mined, and analyzed. In practice, much of these data belong to the "big data". A technical challenge is to deverlop appropriate techniques and holistic approaches to model business processes/workflows with both data and activities in order to guide and help developing, managing, and improving software systems for enterprise and applications.
Since its inception more than 10 years ago, service oriented computing has prevailed as a concept and is now widely adopted in software application development and investigated in academic research. A new research community for services computing has formed. However, the services computing community has yet to fully embrace persistent data (their modeling, manipulation, and management) in many aspects including modeling, composition, analysis, QoS, realization, inter-operation, and runtime support.
This conference is aimed at providing a forum for researchers, practitioners, and experts in services computing and business process/workflow management and in data management to explore and discuss technical challenges including modeling, implementation, improvements, analytics, long tail, integration, and interoperation in contexts where both data and processes are present. Through a better understanding of the interactions between (persistent) data and processes/workflows, effective and efficient tools and techniques could be developed to aid development of software application systems.
The conference seeks original technical contributions in theory, practice, and evaluation of design techniques for software systems to manage data, processes, and services. Topics of interest include but not limited to:
Artifact-centric processes
Business analytics
Case management
Choreography
Cloud computing for data, processes, and services
Collaborative business processes
Data access methods for processes
Data and process complexity analysis
Data design for processes
Data-centric and data-aware processes
Foundations of data-centric process models
Management and access of processes (models)
Ontology for process models
Process compliance and auditing
Process improvements/evolution
Process interoperation and cross service modeling
Process mining
Process-oriented provenance
Processes as services
Processes over incomplete data and knowledge
Quality metrics
Reasoning of data manipulations by processes
Resource modeling and management for processes
Scientific workflows
Service and process management
Synthesis of data-centric/aware processes
Trust and security in data and processes
Verification of data-aware/centric processes
Workflow transactions