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Auflistung nach Schlagwort "Business Process"

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  • Zeitschriftenartikel
    Analyse von Studienverläufen mit Process-Mining-Techniken
    (HMD Praxis der Wirtschaftsinformatik: Vol. 55, No. 4, 2018) Buck-Emden, Rüdiger; Dahmann, Franz-Dominik
    Studenten an Hochschulen und Universitäten haben bei der Gestaltung ihrer Studienverläufe meistens viele Freiheitsgrade. Begrenzt werden diese Freiheiten durch das Curriculum, das bestimmte Rahmenbedingungen für den Studienverlauf einer Fachrichtung festlegt und Empfehlungen bzw. Vorgaben macht, welche Veranstaltungen in welchem Semester besucht werden sollen. In der Praxis weichen viele Studenten von den Empfehlungen des Curriculums ab. Dies führt zu einer Vielzahl individueller Studienverläufe, von denen jeder einzelne mehr oder weniger erfolgreich sein kann (z. B. in Hinblick auf das Erreichen des angestrebten Abschlusses, auf die erzielte Abschlussnote oder auf die benötigte Studiendauer). Für eine an erfolgreichen Studienverläufen orientierte Weiterentwicklung von Curricula und zugehörigen Studienberatungen fehlen den Verantwortlichen an Hochschulen und Universitäten nicht selten detaillierte Erkenntnisse über das konkrete Studienverhalten und über erfolgreiche bzw. weniger erfolgreiche Studienverlaufsmuster. Durch Process-Mining-Techniken wie Bubble-Chart-Analysen, Fuzzy Mining und Inductive Visual Mining können die Verantwortlichen Transparenz bei der Auswertung von Studienverläufen gewinnen und darauf aufbauend gezielte Maßnahmen einleiten. Students at universities usually enjoy a high level of freedom to shape their course of studies. Only the curriculum is the limit, which defines rules and suggests courses to be taken in certain semesters. In practice, many students deviate from these suggestions, leading to a plethora of individual schedules which may be more or less successful (with regards e. g. to achieved degree, final rates, and time to graduation). University officials in charge of evolving and enhancing curricula as well as student advisory services often do not have detailed knowledge regarding student’s specific behavior as well as successful and less successful study schedules. Here process mining techniques like bubble chart analytics, fuzzy mining, and inductive visual mining can fill the gap and provide transparency as foundation for dedicated measures.
  • Konferenzbeitrag
    Application and Testing of Business Processes in the Energy Domain
    (Datenbanksysteme für Business, Technologie und Web (BTW 2017) - Workshopband, 2017) Böhmer, Kristof; Stertz, Florian; Hildebrandt, Tobias; Rinderle-Ma, Stefanie; Eibl, Günther; Ferner, Cornelia; Burkhart, Sebastian; Engel, Dominik
    The energy domain currently struggles with radical legal and technological changes, such as, smart meters. This results in new use cases which can be implemented based on business process technology. Understanding and automating business processes requires to model and test them. However, existing process testing approaches frequently struggle with the testing of process resources, such as ERP systems, and negative testing. Hence, this work presents a toolchain which tackles that limitations. The approach uses an open source process engine to generate event logs and applies process mining techniques in a novel way.
  • Konferenzbeitrag
    Automated Analysis of the Co-evolution of Software Systems and Business Processes
    (Software Engineering und Software Management 2018, 2018) Busch, Kiana; Heinrich, Robert; Busch, Axel; Reussner, Ralf
    Software systems are an essential part of business processes. As business processes and the corresponding software systems mutually affect each other, they co-evolve during their life cycle. Thus, to adequately predict the impact of a change, their mutual dependencies have to be considered. However, existing approaches to change propagation analysis consider one domain in isolation and neglect the mutual dependencies between the domains. In this paper, we propose the Karlsruhe Architectural Maintainability Prediction for Business Processes (KAMP4BP) to analyze the change propagation in business processes and the corresponding software systems.
  • Zeitschriftenartikel
    Decentralized Business Process Control using Blockchain
    (Enterprise Modelling and Information Systems Architectures (EMISAJ) – International Journal of Conceptual Modeling: Vol. 15, Nr. 15, 2020) Guerreiro, Sérgio Luís; Silva, Diogo; Rosado, Tiago; Vasconcelos, André; Correia, Miguel; Sousa, Pedro
    Many applications supported by blockchain technology are emerging in the industry. Blockchain can be used to enforce the correctness of business process execution and, consequently, increasing the trust among the stakeholders involved in complex business processes. Since few experiences in the area have been reported, more are needed to better understand the benefits and pitfalls of blockchain-based solutions for decentralized business process control. This paper is an experience report of two projects that enforce decentralized business process control using blockchain - a food supply chain and a car registration - using a Design Science Research Methodology approach. Each application follows a different business process design - DEMO and BPMN - leading to different implementations based on Hyperledger Fabric. The major lessons learned are related to the appropriateness of DEMO and BPMN as business process modelling languages in the context of blockchain applications.
  • Zeitschriftenartikel
    Digital Preservation: New Challenges for Software Maintenance
    (Softwaretechnik-Trends: Vol. 32, No. 2, 2012) Euteneuer, Sven; Draws, Daniel
    Sven Euteneuer, Daniel Draws SQS Software Quality Systems AG Stollwerckstraße 11, 51149 Cologne, Germany Email: sven.euteneuer|daniel.draws@sqs.com Abstract: Digital preservation ensures continued access to digital information over time (e.g., 5, 15, 25 or 50 years). The long-term planning horizon of preserving relevant parts of a business processes raises a number of new research challenges for software design, development and maintenance (cf. [1]). In this paper we describe the challenges caused by the preservation of software and give a short overview of the TIMBUS research project that aims to address these challenges. The TIMBUS research project addresses these and other research issues, amongst which are authenticity of the preserved information, legal, contractual and regulatory issues and risk management with respect to business process preservation.
  • Konferenzbeitrag
    Towards Identifying GDPR-Critical Tasks in Textual Business Process Descriptions
    (INFORMATIK 2023 - Designing Futures: Zukünfte gestalten, 2023) Nake, Leonard; Kuehnel, Stephan; Bauer, Laura; Sackmann, Stefan
    Complying with data protection regulations is an essential duty for organizations since violating them would lead to monetary penalties from authorities. In Europe, the General Data Protection Regulation (GDPR) defines personal data and requirements for dealing with this type of data. Hence, organizations must identify business activities that deal with personal data to establish measures to fulfill these requirements. Especially for large organizations, a manual identification can be labor-intensive and error-prone. However, textual business process descriptions, such as work instructions, provide valuable insights into the data used in organizations. Therefore, we propose a first approach to automatically identify GDPR-critical tasks in textual business process descriptions. More specifically, we use a supervised machine learning algorithm to automatically identify whether a task deals with personal data or not. A first evaluation of our approach with a dataset of 37 process descriptions containing 509 activities demonstrates that our approach generates satisfactory results.
  • Zeitschriftenartikel
    Why Isn’t Model Analysis Integrated with Versioning?
    (Softwaretechnik-Trends: Vol. 32, No. 4, 2012) Wenzel, Sven