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Auflistung nach Autor:in "Schoknecht, Andreas"

1 - 10 von 13
  • Konferenzbeitrag
    Analysis of Business Process Model Reuse Literature: Are Research Concepts Empirically Validated?
    (Modellierung 2014, 2014) Fellmann, Michael; Koschmider, Agnes; Schoknecht, Andreas
    Business process modeling is a highly manual task. The effort of business process modeling might be reduced if process modelers are provided with the option of reusing existing process model assets instead of creating new models from scratch. Numerous research efforts thus have been focused on the reuse of existing model assets leading to a great variety of methods, models, algorithms and tools. However, up to now, the state of empirical evidence in respect to proven positive effects using these approaches is largely unclear. We therefore fill this gap by systematically analysing the available publications. Our paper contributes to the understanding of business process model reuse and consequently also to the knowledge base regarding process model reuse.
  • Zeitschriftenartikel
    Business Process Model Patterns - Classification and Repository of Published Work.
    (EMISA Forum: Vol. 39, No. 1, 2019) Fellmann, Michael; Koschmider, Agnes; Laue, Ralf; Schoknecht, Andreas; Vetter, Arthur
  • Konferenzbeitrag
    Business Process Model Patterns: Classification and Repository of Published Work
    (40 Years EMISA 2019, 2020) Fellmann, Michael; Koschmider, Agnes; Laue, Ralf; Schoknecht, Andreas; Vetter, Arthur
    Patterns have gained widespread interest and acceptance in various domains. Originating from architecture, patterns are nowadays also suggested as solution templates for various problems related to Business Process Management. Due to the abundance of pattern works, getting an overview on available works or searching for specific patterns can be very difficult. What is missing is an instrument for easy exploration and search. To mitigate this problem, we classified published works on pattern and developed a repository for business process model pattern works. The repository is publicly available and enables browsing and filtering of pattern works according to criteria recently developed by analyzing 280 pattern works.
  • Konferenzbeitrag
    Evaluation automatisierter Ansätze für die Bewertung von Modellierungsaufgaben
    (DeLFI 2016 -- Die 14. E-Learning Fachtagung Informatik, 2016) Fellmann, Michael; Fettke, Peter; Houy, Constantin; Loos, Peter; Oberweis, Andreas; Schoknecht, Andreas; Striewe, Michael; Thaler, Tom; Ullrich, Meike
  • Zeitschriftenartikel
    LS3: Latent Semantic Analysis-based Similarity Search for Process Models
    (Enterprise Modelling and Information Systems Architectures (EMISAJ) – International Journal of Conceptual Modeling: Vol. 12, Nr. 2, 2017) Schoknecht, Andreas; Oberweis, Andreas
    Large process model collections in use today contain hundreds or even thousands of conceptual process models. Search functionalities can help in handling such large collections for purposes such as duplicate detection or reuse of models. One popular stream of search functionalities is similarity-based search which utilizes similarity measures for finding similar models in a large collection. Most of these approaches base on an underlying alignment between the activities of the compared process models. Yet, such an alignment seems to be quite difficult to achieve according to the results of the Process Model Matching contests conducted in recent years. Therefore, the Latent Semantic Analysis-based Similarity Search (LS3) technique presented in this article does not rely on such an alignment, but uses a Latent Semantic Analysis-based similarity measure for retrieving similar models. An evaluation with 138 real-life process models shows a strong performance in terms of Precision, Recall, F-Measure, R-Precision and Precision-at-k, thereby outperforming five other techniques for similarity-based search. Additionally, the run time of the LS3 query calculation is significantly faster than any of the other approaches.
  • Konferenzbeitrag
    The process model matching contest 2015
    (Enterprise modelling and information systems architectures, 2015) Antunes, Goncalo; Bakhshandeh, Marzieh; Borbinha, Jose; Cardoso, Joao; Dadashnia, Sharam; Francescomarino, Chiara Di; Dragoni, Mauro; Fettke, Peter; Gal, Avigdor; Ghidini, Chiara; Hake, Philip; Khiat, Abderrahmane; Klinkmüller, Christopher; Kuss, Elena; Leopold, Henrik; Loos, Peter; Meilicke, Christian; Niesen, Tim; Pesquita, Catia; Péus, Timo; Schoknecht, Andreas; Sheetrit, Eitam; Sonntag, Andreas; Stuckenschmidt, Heiner; Thaler, Tom; Weber, Ingo; Weidlich, Matthias
    Process model matching refers to the automatic identification of correspondences between the activities of process models. Application scenarios of process model matching reach from model validation over harmonization of process variants to effective management of process model collections. Recognizing this, several process model matching techniques have been developed in recent years. However, to learn about specific strengths and weaknesses of these techniques, a common evaluation basis is indispensable. The second edition of the Process Model Matching Contest in 2015 hence addresses the need for effective evaluation by defining process model matching problems over published data sets. This paper summarizes the setup and the results of the contest. Next to a description of the contest matching problems, the paper provides short descriptions of all matching techniques that have been submitted for participation. In addition, we present and discuss the evaluation results and outline directions for future work in the field of process model matching.
  • Zeitschriftenartikel
    Security-by-Design in der Cloud-Anwendungsentwicklung
    (HMD Praxis der Wirtschaftsinformatik: Vol. 53, No. 5, 2016) Schoknecht, Andreas; Schiefer, Gunther; Citak, Murat; Oberweis, Andreas
    Unternehmen erkennen zunehmend die ökonomischen und operationalen Vorteile von Cloud Computing, die es ihnen ermöglichen, sowohl signifikante Kosteneinsparungen zu erzielen als auch den Einsatz neuer Software-Anwendungen zu beschleunigen. Der Einsatz von Cloud Computing erfordert jedoch eine zunehmende Betrachtung neuer Herausforderungen an die Sicherheit von Daten, die eine große Barriere für eine breitere Akzeptanz von Cloud Computing sind. In diesem Artikel werden Erkenntnisse aus dem von der EU geförderten Projekt PaaSword vorgestellt, welches das Ziel verfolgt, das Vertrauen in Cloud Computing zu erhöhen. In diesem Projekt wird ein holistisches Datensicherheits-Framework entwickelt, wobei der Fokus auf Software-Entwicklern liegt, die bei der Entwicklung von sicheren Cloud-Anwendungen und -Diensten unterstützt werden sollen. Dazu wird zunächst das zugrundeliegende Architektur-Konzept für eine sichere Speicherung von Daten vorgestellt, um dann vertieft auf die kontextbasierte Zugriffskomponente einzugehen. Zentraler Aspekt dieser Zugriffskomponente ist ein kontextbasiertes Zugriffsmodell, das von Entwicklern zur Annotation von Data Access Objects verwendet werden kann. Das Zugriffsmodell baut auf einem Attribute-based Access Control Modell auf. Dabei werden Zugriffsrechte gewährt, indem Zugriffsregeln ausgewertet werden, welche Kontextattribute berücksichtigen. Zu diesen Attributen können beispielsweise die IP-Adresse des anfragenden Geräts, die Art des verwendeten Geräts oder die Rolle des Nutzers innerhalb einer Organisation gehören. Im PaaSword-Zugriffsmodell werden Aspekte konzeptualisiert, die bei der Auswahl von Datenzugriffsregeln beachtet werden sollen und mit deren Hilfe das kontextbasierte Zugriffsmodell festlegt, auf welche Daten unter welchen Bedingungen zugegriffen werden darf. Die Formulierung der Regeln baut auf dem XACML-Standard auf, der es ermöglicht, einzelne Regeln mit Kontextbedingungen zu komplexeren Regelwerken zusammenzufassen.AbstractCompanies increasingly recognize the economical and operational advantages of Cloud Computing, which enables them to realize significant cost savings and to speed up the setup of software applications. Yet, the usage of Cloud Computing requires the consideration of new challenges regarding data security, which pose a serious threat to the adoption of Cloud Computing. This article presents results from the EU-funded PaaSword project, which aims at increasing the trust in Cloud Computing. A holistic data security framework will be developed during the project, whereby the focus is on software developers, who shall be supported during the development of secure cloud applications and services. Therefore, firstly, the underlying architecture concept for secure storage of data is introduced. The context-based access control component is described in further details afterwards. The central aspect of this access control component is a context-based access control model, which can be used by developers to annotate data access objects. The access control model itself builds upon an attribute-based access control model. Thereby, access rights are granted through the evaluation of access rules, which take context attributes into account. Such attributes might, e. g., be the role of a user within an organization, the IP address or type of the requesting device. The PaaSword access control model conceptualizes aspects which shall be considered during the selection of data access rules and with which the context-based access control model determines under which circumstances an access request on which data is allowed. The formulation of such rules is based on the XACML standard, which allows combining single rules with context conditions to more complex policies.
  • Zeitschriftenartikel
    Semantic Technology in Business Process Modeling and Analysis. Part 1 - Matching, Modeling Support, Correctness and Compliance.
    (EMISA Forum: Vol. 35, No. 1, 2015) Fellmann, Michael; Delfmann, Patrick; Koschmider, Agnes; Laue, Ralf; Leopold, Henrik; Schoknecht, Andreas
  • Zeitschriftenartikel
    Semantic Technology in Business Process Modeling and Analysis. Part 2 - Domain Patterns and (Semantic) Process Model Elicitation.
    (EMISA Forum: Vol. 35, No. 2, 2015) Fellmann, Michael; Delfmann, Patrick; Koschmider, Agnes; Laue, Ralf; Leopold, Henrik; Schoknecht, Andreas
  • Konferenzbeitrag
    Workshop zum Stand, den Herausforderungen und Impulsen des Geschäftsprozessmanagements
    (Informatik 2016, 2016) Fellmann, Michael; Laue, Ralf; Koschmider, Agnes; Schoknecht, Andreas