Institut für Datenbanken und Informationssysteme
- 1:
Mitarbeiter. - 2:
Lehre. - 3:
Forschung.- 3.1:
Projekte. - 3.2:
Publikationen. - 3.3:
Promotionen.
- 3.1:
- 4:
Publikationen. - 5:
Veranstaltungen. - 6:
News. - 7:
Offene Stellen. - 8:
DBISexperience. - 9:
DBIS Software-Labor. - 10:
AristaFlow-Forum. - 11:
Links. - 12:
BPM Corner. - 13:
Intern.
Projekte
Below you can find a list of research projects DBIS is currently involved in (in alphabetical order).
ADEPT2 (Next Generation Process Management Technology)
If current process management systems shall be applied to a broad spectrum of applications, they will have to be significantly improved with respect to their technological capabilities. Particularly, in dynamic environments it must be possible to quickly implement and deploy new processes, to enable ad-hoc modifications of running process instances on-the-fly (e.g., to dynamically add, delete or move process steps), and to support process schema evolution with instance migration (i.e., to propagate process schema changes to already running instances if desired). These requirements must be met without affecting process consistency and by preserving the robustness of the process management system. In the ADEPT2 project we address these challenges in an integrated way and provide a powerful proof-of-concept implementation of a high-end process management system. Our overall vision is to provide a next generation process management technology which can be used in a variety of application domains.
Corepro (Data-driven Process Structures)
Coordinating complex process structures is a fundamental task for enterprises. Such process structures have in common, that they consist of hundreds up to thousands of interdependent processes forming large process structures. Engineering a car, for example, requires the coordination of development processes for hundreds of components. Each of these development processes itself comprises a number of interdependent processes for designing, testing, and releasing the respective component. Typically, the resulting process structure is data-driven; i.e., it is characterized by a strong relation with the assembly of the product. We utilize this relation for automatically creating process structures based on data structures. The strong relation is used for adapting process structures at a high level of abstraction. Further, we provide exception handling mechanisms for managing dynamic adaptations. Altogether, COREPRO provides a new paradigm for IT support which reduces efforts for modeling and dynamic adaptation of data-driven process structures significantly.
C³Pro (Enabling Change and Compliance for Collaborative Processes)
In the C3Pro project we analyze flexibility and adaptivity of collaborative business processes in connection with business process compliance. Hence, consistency and correctness will be of central interest as well as the provision of change propagation methods to business partners with respect to autonomy, security, and trust constraints.
ENPROSO (Enhanced Process Management through Service Orientation)
An important goal of any Service-oriented Architecture (SOA) is to increase the flexibility of IT-supported business processes. In particular, it should be possible to quickly implement new business processes and business services, and to flexibly adapt the corresponding IT applica-tions to changing business needs. In addition, it is crucial to adequately cope with changes in the SOA environment itself. Examples of such changes include modifications of IT services or business objects that are used by IT-supported business processes.
MARPLE (MAnaging Robust mobile Processes in a compLEx world)
Research focus of MARPLE is to enable a tight integration of process management technology and mobile computing. Our overall vision is to provide sophisticated mobile process support; i.e., to realize generic process management features on mobile devices including support for process changes, process instance migrations, etc.
MinAdept (Mining Process Variants & Process Changes)
So far, adaptive process management technology has not addressed the fundamental question what we can learn from process instance changes and how to derive optimized process models from this information. Process mining techniques offer promising perspectives, but have focused on the analysis of pure execution logs so far. The MinADEPT project will close this gap and provide a comprehensive approach for the intelligent mining of adaptive processes.
niPRO (Personalized and Intelligent Process Portals)
The goal of the niPRO project is to use innovative semantic technology to integrate relevant process information in intelligent, user-adequate process information portals (also denoted as process cockpits). A niPRO process cockpit shall supply knowledge workers with both structured and unstructured process information in the right place in due course. Thereby, structured process information is typically provided by enterprise information systems by means of logged execution data. Examples of unstructured process information include textual process descriptions, procedural requirements, forms, guidelines, and checklists.
PHILharmonic Flows - Process, Humans and Information Linkage for harmonic Business Flows
Our basic mission in this project is to develop concepts, methods and tools for realizing object- and process-aware application systems. In particular, we aim at a flexible integration of business data, business processes, and thus want to overcome limitations known from activity-centered Workflow Management Systems.
PROCEED (PROactive Consistency for EE product Data management)
One goal of the PROCEED project is the integration of the different, available IT systems, which are involved in the life cycle of E/E product data.
ProCycle (Providing Integrated Life Cycle Support in Process-Aware Information Systems)
In ProCycle we develop a next generation process-aware information system, which provides integrated and seamless process life cycle support. ProCycle combines the ADEPT2 framework for dynamic process changes with concepts and methods provided by case-based reasoning (CBR) technology like CBRFlow.
Proviado (Process Visualization in the Automotive Domain)
Today business processes are characterized by a high degree of distribution what makes it difficult to keep track of their progress. Proviado aims at providing an integrative presentation of processes whose activities are distributed among several systems and include steps that are carried out within legacy systems or even done by hand. The visualization will be personalized taking into account the user’s needs regarding the level of detail. Another goal is giving users an overview of the processes running in a distributed environment and monitoring the status. The knowledge gained will be transfered to the industrial partners by an implemented tool allowing us to present complex processes using recent internet graphic formats.
Provop (PROcess Variants by OPtions)
Provop deals with advanced issues related to the configuration and management of process variants. It provides full life cycle support and allows for flexible process configuration resulting in a maintainable collection of process variants.
Q-ADVICE - Quality ADVisory Infrastructure for Collaborative Engineering
Using applied research and new perspectives, this project will enable the benefits of automated software engineering to be used in conjunction with software quality management, thereby bringing software development processes to a new level. A powerful proof-of-concept prototype will be developed using the AristaFlow BPM Suite
SeaFlows (Supporting Business Process Compliance Along the Process Lifecycle)
Our objective in the SeaFlows project is to devise a general framework for supporting business process compliance along the complete process lifecycle.
Process Intelligence (PI) offers companies the possibility to analyze and optimize their business processes in real-time. For this, it provides methods, concepts and tools to collect and analyze process and business data that is distributed over various information systems. The goal of the project is to develop methods and concepts for next generation Process Intelligence. In the project we will deal with data integration issues, monitoring of compliance rules and evaluate existing tools and conduct surveys and case studys.
