@inproceedings{MatthiesKochMaassenetal.2022, author = {Matthies, Benjamin and Koch, Julian and Maassen, Kathrin and Coners, Andr{\´e}}, title = {A Curriculum Mining Method for Clustering Study Modules and Assessing their Uniqueness}, series = {Proceedings of the 30th European Conference on Information Systems (ECIS)}, booktitle = {Proceedings of the 30th European Conference on Information Systems (ECIS)}, publisher = {Association for Information Systems (AIS)}, year = {2022}, language = {en} } @inproceedings{DamwerthBachBuchholz2022, author = {Damwerth, Philipp and Bach, Norbert and Buchholz, Wolfgang}, title = {Ecosystem Emergence and Founding Conditions - Lessions Learned from an Imprinting Perspective}, year = {2022}, abstract = {The rise of ecosystem prominence has provided several definitions of how we understand ecosystems nowadays. In this context, several scholars have considered influencing factors for ecosystem emergence. This paper addresses this consideration and analyzes the salient characteristics of different ecosystem types and their potential persistence since ecosystem founding to improve the understanding of emergence. We applied a three-step approach (1) identifying ecosystem types based on bibliometric analysis, (2) exploring salient characteristics per ecosystem type using qualitative content analysis and (3) deriving founding conditions from the salient characteristics following a conceptual approach. Based on a bibliometric analysis, we identified business/innovation, entrepreneurial and service ecosystems. In a second step, we developed salient characteristics within the themes of structure, power constellation/interdependencies and governance by inductive coding. As we identified a significant difference in alignment structure, we analyzed if alignment structure persists since ecosystem origin and explains why ecosystems differ. We analyzed potential pairings between alignment structure and their respective founding condition for every ecosystem type. With the alignment structures' persistence, we can better understand why ecosystem types differ.}, language = {en} } @inproceedings{SchneidThoeneHerbert2022, author = {Schneid, Konrad and Th{\"o}ne, Sebastian and Herbert, Kuchen}, title = {Semi-automated Test Migration for BPMN-Based Process-Driven Applications}, series = {Enterprise Design, Operations, and Computing. Hrsg. Jo{\~a}o Paulo A. Almeida, Dimka Karastoyanova, Giancarlo Guizzardi, Marco Montali, Fabrizio Maria Maggi, Claudenir M. Fonseca}, booktitle = {Enterprise Design, Operations, and Computing. Hrsg. Jo{\~a}o Paulo A. Almeida, Dimka Karastoyanova, Giancarlo Guizzardi, Marco Montali, Fabrizio Maria Maggi, Claudenir M. Fonseca}, publisher = {Springer International Publishing}, address = {Cham}, isbn = {978-3-031-17603-6}, issn = {0302-9743}, doi = {10.1007/978-3-031-17604-3_14}, pages = {237 -- 254}, year = {2022}, abstract = {Automated regression tests are a key enabler for applying popular continuous software engineering techniques. This paper focuses on testing BPMN-based Process-Driven Applications (PDA). When evolving PDAs, the affected test cases must be identified and co-evolved as well. In this process, affected test cases can be overlooked, misunderstandings may occur during communication between different roles involved, and implementation errors can arise. Regardless of possible error sources, the entire test migration process is time-consuming. This paper presents a new semi-automated test migration process for PDAs. The concept builds on previous work on creating regression tests using a no-code approach. Our approach identifies the modifications of the PDA and classifies their impact on previously defined tests. The classification indicates whether existing test code can be migrated automatically or whether a manual revision becomes necessary. During an AB/BA experiment, the concept and the developed prototype proved a more efficient test migration process and a higher test quality.}, language = {en} } @inproceedings{WesbuerKurzhalsUude2022, author = {Wesbuer, Annika and Kurzhals, Kerstin and Uude, Katrin}, title = {Framework for university-society co-creation.}, series = {Continuous Innovation Network Conference}, booktitle = {Continuous Innovation Network Conference}, address = {Pisa, Italy}, year = {2022}, language = {en} } @inproceedings{WesbuerKurzhalsUude2022, author = {Wesbuer, Annika and Kurzhals, Kerstin and Uude, Katrin}, title = {USC Ecosystem: A Comprehensive Framework for university-society co-creation}, series = {University-Industry Interaction Conference 2022}, booktitle = {University-Industry Interaction Conference 2022}, address = {Amsterdam, Netherlands}, year = {2022}, language = {en} } @inproceedings{KindsgrabDircksenZadek2022, author = {Kindsgrab, Kai and Dircksen, Michael and Zadek, Hartmut}, title = {Sustainable logistic decisions - A simulation model how avoidance costs of CO2e emissions influence transport cost calculations}, series = {Virtual Workshop on Sustainable Road Freight Transport 2022}, booktitle = {Virtual Workshop on Sustainable Road Freight Transport 2022}, organization = {The Centre For Sustainable Road Freight}, year = {2022}, language = {en} } @inproceedings{KindsgrabLechleitnerDelke2022, author = {Kindsgrab, Kai and Lechleitner, Christian and Delke, Vincent}, title = {Organising IT Commodity Sourcing: Challenges, Strategies, and Skills}, series = {IPSERA 2022: Building Bridges - J{\"o}nk{\"o}ping University, J{\"o}nk{\"o}ping, Sweden}, booktitle = {IPSERA 2022: Building Bridges - J{\"o}nk{\"o}ping University, J{\"o}nk{\"o}ping, Sweden}, year = {2022}, language = {en} } @inproceedings{EschenbaecherKuehlWiethoelter2022, author = {Eschenb{\"a}cher, Jens and K{\"u}hl, Linus and Wieth{\"o}lter, Jost}, title = {Initial Approach for Data Mining in Logistics: software supported prognosis exemplified by delivery damage probabilities depending on different factors}, series = {Proceedings of the 26th International Symposium on Logistics}, booktitle = {Proceedings of the 26th International Symposium on Logistics}, isbn = {13 978-0-85358-350-9}, pages = {32 -- 32}, year = {2022}, language = {en} } @inproceedings{ThesingFeldmannBurchardt2021, author = {Thesing, Theo and Feldmann, Carsten and Burchardt, Martin}, title = {Agile versus Waterfall Project Management: Decision Model for Selecting the Appropriate Approach to a Project}, series = {ProjMAN - International Conference on Project Management 2020, Procedia Computer Science 181 (2021)}, booktitle = {ProjMAN - International Conference on Project Management 2020, Procedia Computer Science 181 (2021)}, doi = {10.1016/j.procs.2021.01.227}, pages = {746 -- 756}, year = {2021}, language = {en} } @inproceedings{SchneidKuchenThoeneetal.2021, author = {Schneid, Konrad and Kuchen, Herbert and Th{\"o}ne, Sebastian and Di Bernardo, Sascha}, title = {Uncovering Data-Flow Anomalies in BPMN-Based Process-Driven Applications}, series = {Proceedings of the 36th Annual ACM Symposium on Applied Computing}, booktitle = {Proceedings of the 36th Annual ACM Symposium on Applied Computing}, publisher = {Association for Computing Machinery}, address = {New York, NY, USA}, isbn = {9781450381048}, doi = {10.1145/3412841.3442025}, pages = {1504 -- 1512}, year = {2021}, abstract = {Process-Driven Applications flourish through the interaction between an executable BPMN process model, human tasks, and external software services. All these components operate on shared process data, so it is even more important to check the correct data flow. However, data flow is in most cases not explicitly defined but hidden in model elements, form declarations, and program code. This paper elaborates on data-flow anomalies acting as indicators for potential errors and how such anomalies can be uncovered despite implicit and hidden data-flow definitions. By considering an integrated view, it goes beyond other approaches which are restricted to separate data-flow analysis of either process model or source code. The main idea is to merge call graphs representing programmed services into a control-flow representation of the process model, to label the resulting graph with associated data operations, and to detect anomalies in that labeled graph using a dedicated data-flow analysis. The applicability of the solution is demonstrated by a prototype designed for the Camunda BPM platform.}, language = {en} }