Publikationen

Referenzen

2016

Stamer, Dirk; Zimmermann, Ole; Sandkuhl, Kurt
What Is a Framework?-A Systematic Literature Review in the Field of Information Systems
International Conference on Perspectives in Business Informatics Research,
2016

Zusammenfassung:

  • The term ‘framework’ appears very often in scientific publications like journals and conferences. However, there is no universal definition of a framework. It seems that the term is not used in a consistent way by authors publishing on frameworks since they have very little in common compared to each other. The goal of this work is to analyse and show how frameworks in the fields of information systems are handled in the scientific literature over the past 10 years as well as giving a universal definition of the term ‘framework’ based on the relevant studies. The systematic literature review will serve to identify those studies and to categorize the identified frameworks. The contributions of this work are (1) a general overview about frameworks in the past 10 years, (2) a proposed categorization of frameworks and (3) a general definition of the term ‘framework’.

Stamer, Dirk; Sandkuhl, Kurt; Zeiner, Veronika
Information Demand Pattern for Teams
Complex Systems Informatics Management Quarterly,
2016

Zusammenfassung:

  • Modern organizations face the challenge of having to manage an increasing amount of information. The resulting information overload leads more and more to problems in decision making with potentially negative economic consequences. Decision-makers and knowledge intensive workers are especially affected. To address this problem, information demand patterns were proposed which capture organizational knowledge about the information demand of single roles. This work extends the concept of information demand patterns from single roles to teams. Using the knowledge intensive field of project management, the paper shows how to apply the concept of information demand patterns for a whole team. The contributions of this work are (1) the methodical approach to develop information demand patterns for teams, (2) an actual information demand pattern for a steering committee in the context of project management, (3) reflections on the differences between role patterns and team patterns.

Koç, Hasan; Timm, Felix; España, Sergio; González, Tania; Sandkuhl, Kurt
A METHOD FOR CONTEXT MODELLING IN CAPABILITY MANAGEMENT
Research Papers,
2016

Zusammenfassung:

  • Enterprises exist in the context of their dynamically changing environment, which has a strong impact on service design and delivery. Within areas such as ambient intelligence or robotics, most relevant context has a physical nature. However, the context of an enterprise requires a different conceptualization of context awareness. Beyond physical context, enterprises need to be aware of their market, legal and social context. Moreover, in order to monitor context and configure services systematically, we need a context modelling method that is integrated within enterprise modelling and supports information and communication technology (ICT) engineering and runtime. The work in this paper has been performed as part of developing Capability Driven Development (CDD), a new paradigm for ICT design where services are customised on the basis of the essential business capabilities and delivery is adjusted according to the current context. The contributions of the paper are (i) the investigation of industrial needs for context modelling, (ii) eCoM, a context modelling method for enterprise ICT addressing such needs, iii) application of the method in an industrial use case and (iv) the evolution of eCoM based on various evaluation cycles by means of Framework for Evaluation in Design Science Research (FEDS).

Henkel, Ron; Hoehndorf, Robert; Kacprowski, Tim; Knüpfer, Christian; Liebermeister, Wolfram; Waltemath, Dagmar
Notions of similarity for systems biology models
Briefings in Bioinformatics,
2016

Zusammenfassung:

  • Systems biology models are rapidly increasing in complexity, size and numbers. When building large models, researchers rely on software tools for the retrieval, comparison, combination and merging of models, as well as for version control. These tools need to be able to quantify the differences and similarities between computational models. However, depending on the specific application, the notion of ‘similarity’ may greatly vary. A general notion of model similarity, applicable to various types of models, is still missing. Here we survey existing methods for the comparison of models, introduce quantitative measures for model similarity, and discuss potential applications of combined similarity measures. To frame model comparison as a general problem, we describe a theoretical approach to defining and computing similarities based on a combination of different model aspects. The six aspects that we define as potentially relevant for similarity are underlying encoding, references to biological entities, quantitative behaviour, qualitative behaviour, mathematical equations and parameters and network structure. We argue that future similarity measures will benefit from combining these model aspects in flexible, problem-specific ways to mimic users’ intuition about model similarity, and to support complex model searches in databases.

Touré, Vasundra; Mazein, Alexander; Waltemath, Dagmar; Balaur, Irina; Saqi, Mansoor; Henkel, Ron; Pellet, Johann; Auffray, Charles
STON: exploring biological pathways using the SBGN standard and graph databases
BMC bioinformatics, 17(1):494
2016
Henkel, Ron; Lambusch, Fabienne; Wolkenhauer, Olaf; Sandkuhl, Kurt; Rosenke, Christian; Waltemath, Dagmar
Finding patterns in biochemical reaction networks
PeerJ PrePrints, 4:e1479
2016

Zusammenfassung:

  • Motivation: Computational models in biology encode molecular and cell biological processes. Many of them can be represented as biochemical reaction networks. Studying such networks, one is often interested in systems that share similar reactions and mechanisms. Typical goals are to understand the parts of a model, to identify reoccurring patterns, and to find biologically relevant motifs. The large number of models are available for such a search, but also the large size of models require automated methods. Specifically the generic problem of finding patterns in large networks is computationally hard. As a consequence, only partial solutions for a structural analysis of models exist. Results: We investigated algorithms to find reoccurring patterns in SBML models. For this analysis we propose a workflow that first creates graphs from models and then identifies frequent subgraphs. The output of the workflow is a list of reaction patterns together with a statistic about the occurrence of each pattern in the data set. The approach was validated with 575 models of the curated branch in release 29 of BioModels. Our approach to identify shared structures can also serve as a tool to measure the similarity of models.

Zimmermann, Alfred; Jugel, Dierk; Sandkuhl, Kurt; Schmidt, Rainer; Schweda, Christian M.; Möhring, Michael
Architectural Decision Management for Digital Transformation of Products and Services
CSIMQ, 6:31--53
2016

Zusammenfassung:

  • The digitization of our society changes the way we live, work, learn, communicate, and collaborate. The Internet of Things, Enterprise Social Networks, Adaptive Case Management, Mobility systems, Analytics for Big Data, and Cloud services environments are emerging to support smart connected products and services and the digital transformation. Biological metaphors of living and adaptable ecosystems provide the logical foundation for self-optimizing and resilient run-time environments for intelligent business services and service-oriented enterprise architectures. Our aim is to support flexibility and agile transformations for both business domains and related information technology. The present research paper investigates mechanisms for decision analytics in the context of multi-perspective explorations of enterprise services an their digital enterprise architectures by extending original architecture reference models with state of art elements for agile architectural engineering for the digitization and collaborative architectural decision support. The paper’s context focuses on digital transformations of business and IT and integrates fundamental mappings between adaptable digital enterprise architectures and service-oriented information systems. We are putting a spotlight with the example domain – Internet of Things.

Baer, Florian; Leyer, Michael
Towards assessing the value of digital self-service options from a provider perspective
AMCIS 2016 Proceedings,
2016

Zusammenfassung:

  • Given the ongoing digitization of service, understanding the value co-creation process in the self-service context is getting more and more relevant for practitioners and academics alike. Prior research on service co-production has primarily focused on the service beneficiaries’ causal paths of value determination or has conceptualized value as utility relying on neo-classical economic concepts and theories. As a result, little is known about how to assess the value-in-experience of digital self-service options from a service provider’s perspective. This study represents a first contribution towards answering this research question. Based on the results of a systematic literature review, we develop a framework that enables service organizations to assess the expected and perceived value before, during or after an actual service experience. It therefore conceptualizes value in form of net benefit and means-end. Drawing upon the framework, we discuss various value enhancement strategies reflecting different categories of self-service options.

Lantow, Birger
Ontometrics: Putting metrics into use for ontology evaluation
IC3K 2016 - Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management Band 2 , Seite 186-191.
2016
Sigmanek, C.; Lantow, B.
The STAPS method: Process-taylored Introduction of knowledge management solutions
C3K 2016 - Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management Band 3 , Seite 181-189.
2016

Bemerkung: cited By 0

Zimmermann, Alfred; Schmidt, Rainer; Sandkuhl, Kurt; El-Sheikh, Eman; Jugel, Dierk; M. Schweda, Christian; Möhring, Michael; Wißotzki, Matthias; Lantow, Birger
Leveraging Analytics for Digital Transformation of Enterprise Services and Architectures
Emerging Trends in the Evolution of Service-Oriented and Enterprise Architectures
Seite 91--112.
2016

Zusammenfassung:

  • The digital transformation of our society changes the way we live, work, learn, communicate, and collaborate. The digitization of software-intensive products and services is enabled basically by four megatrends: Cloud Computing, Big Data Mobile Systems, and Social Technologies. This disruptive change interacts with all information processes and systems that are important business enablers for the current digital transformation. The Internet of Things, Social Collaboration Systems for Adaptive Case Management, Mobility Systems and Services for Big Data in Cloud Services environments are emerging to support intelligent user-centered and social community systems. Modern enterprises see themselves confronted with an ever growing design space to engineer business models of the future as well as their IT support, respectively. The decision analytics in this field becomes increasingly complex and decision support, particularly for the development and evolution of sustainable enterprise architectures (EA), is duly needed. With the advent of intelligent user-centered and social community systems, the challenging decision processes can be supported in more flexible and intuitive ways. Tapping into these systems and techniques, the engineers and managers of the enterprise architecture become part of a viable enterprise, i.e. a resilient and continuously evolving system that develops innovative business

Koç, Hasan; Kuhr, Jan-Christian; Sandkuhl, Kurt; Timm, Felix
Capability-Driven Development - A Novel Approach to Design Enterprise Capabilities
Emerging Trends in the Evolution of Service-Oriented and Enterprise Architectures
Seite 151--177.
2016

Zusammenfassung:

  • Technological advances, changes in regulations and increasing globalization of the economy demand high adaptability from enterprises in many areas. Enterprise Architecture Management provides organizations with an integrated view enabling such adaptability. In this respect, development and management of the capabilities receive attention, as the term is associated with flexibility, dynamics and variation. On the contrary, little effort has been put towards developing and modeling capabilities. This chapter focuses on the Capability-Driven Development (CDD) method, which is a novel approach for designing capabilities to tackle the challenges of rapidly changing enterprise environments by modeling the application context. The results presented in this chapter are (i) a description of the state of research in capability development methods, (ii) a component-wise structure