Georg Grossmann

dblp:89/733 · DBLP profile ↗
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10ranked-venue papers in the field
2as first author
3since 2021 · last 2023
0000-0003-4415-2228ORCID · verified

Domains — venue-derived; a paper can count in several

Database Systems & Data Management · 4Business Process & Enterprise Data · 4Knowledge Engineering, Semantic Web & Information Systems · 2 (2 first)
YearPublicationVenuePosition
2023 Modelling temporal goals in runtime goal models
abstract
Achieving real-time agility and adaptation with respect to changing requirements in existing IT infrastructure can pose a complex challenge. We describe a goal-oriented approach to manage this complexity. We argue that a goal-oriented perspective can form an effective basis for devising and deploying responses to changed requirements at runtime. We offer an extended vocabulary of goal types by presenting two novel conceptions: differential goals and integral goals, which we formalize in both linear-time and branching-time settings. We describe goal lifecycles and interactions and the extended notion of context for the representation of rapidly changing, complex operating environments. We then illustrate the working of the approach by presenting a detailed scenario of adaptation in a Kubernetes setting, in the face of a Distributed Denial-of-Service (DDoS) attack.
Rebecca Morgan, Simon Pulawski, Matt Selway, Aditya Ghose, Georg Grossmann, Wolfgang Mayer, Markus Stumptner, Ross Kyprianou
Data Knowl. Eng.5
2022 Modeling Rates of Change and Aggregations in Runtime Goal Models
Rebecca Morgan, Simon Pulawski, Matt Selway, Wolfgang Mayer, Georg Grossmann, Markus Stumptner, Aditya Ghose, Ross Kyprianou
ER5
2021 Preface to the EDOC 2017/2018 Special Issue
Robert Lagerström, Georg Grossmann, Selmin Nurcan
Inf. Syst.2
2018 Relationship Matching of Data Sources: A Graph-Based Approach
Zaiwen Feng, Wolfgang Mayer, Markus Stumptner, Georg Grossmann, Wangyu Huang
CAiSE4
2018 VizDSL: A Visual DSL for Interactive Information Visualization
Rebecca Morgan, Georg Grossmann, Michael Schrefl, Markus Stumptner, Timothy Payne
CAiSE2
2017 A conceptual framework for large-scale ecosystem interoperability and industrial product lifecycles
Matt Selway, Markus Stumptner, Wolfgang Mayer, Andreas Jordan, Georg Grossmann, Michael Schrefl
Data Knowl. Eng.5
2016 Guest Editorial: Enterprise Computing
Georg Grossmann, Stefanie Rinderle-Ma
Int. J. Cooperative Inf. Syst.1
2015 A Conceptual Framework for Large-scale Ecosystem Interoperability
Matt Selway, Markus Stumptner, Wolfgang Mayer, Andreas Jordan, Georg Grossmann, Michael Schrefl
ER5
2015 Change Propagation and Conflict Resolution for the Co-Evolution of Business Processes
abstract
In large organizations, multiple stakeholders may modify the same business process. This paper addresses the problem when stakeholders perform changes on process views which become inconsistent with the business process and other views. Related work addressing this problem is based on execution trace analysis which is performed in a post-analysis phase and can be complex when dealing with large business process models. In this paper, we propose a design-based approach that can efficiently check consistency criteria and propagate changes on-the-fly from a process view to its reference process and related process views. The technique is based on consistent specialization of business processes and supports the control flow aspect of processes. Consistency checks can be performed during the design time by checking simple rules which support an efficient change propagation between views and reference process.
Georg Grossmann, Shamila Mafazi, Wolfgang Mayer, Michael Schrefl, Markus Stumptner
Int. J. Cooperative Inf. Syst.1
2015 Formalising natural language specifications using a cognitive linguistic/configuration based approach
Matt Selway, Georg Grossmann, Wolfgang Mayer, Markus Stumptner
Inf. Syst.2