P
Peter Loos
Researcher at German Research Centre for Artificial Intelligence
Publications - 189
Citations - 3480
Peter Loos is an academic researcher from German Research Centre for Artificial Intelligence. The author has contributed to research in topics: Business process modeling & Artifact-centric business process model. The author has an hindex of 26, co-authored 185 publications receiving 3286 citations. Previous affiliations of Peter Loos include University of Mainz.
Papers
More filters
Journal ArticleDOI
Model Driven Architecture (MDA)
Peter Fettke,Peter Loos +1 more
TL;DR: Die Object Management Group (OMG) wurde 1989 als gemeinnützige Organisation mit dem Ziel gegründet, objektorientierte Technologien zu standardisieren, um so die herstellerübergreifende Integration of Software zu erleichtern.
Journal ArticleDOI
Classification of reference models: a methodology and its application
Peter Fettke,Peter Loos +1 more
TL;DR: This classification system gives a comprehensive, but abstract survey of 26 reference models found in the literature, and proposes a methodology to systematically create classification systems for reference models.
Journal ArticleDOI
Empirical research in business process management – analysis of an emerging field of research
TL;DR: A survey of the development of empirical research in business process management (BPM) and applied methodologies by means of a developed framework in order to identify the status quo and to assess the probable future development of the research field.
Proceedings Article
Analyzing the business model concept — a comprehensive classification of literature
TL;DR: A comprehensive and up-to-date literature analysis examining 30 relevant literature sources focusing mainly on business model research found that a systematic and objective penetration of the research area could be achieved.
Journal Article
Business process reference models : Survey and classification
TL;DR: In this paper, the authors present a survey of reference models for business processes and identify model domains, which have been dealt with, describe similarities and differences between the available process reference models, and point to open research questions.