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Project Artifacts for the Data Science Lifecycle: A Comprehensive Overview.

, , , and . IEEE Big Data, page 2645-2654. IEEE, (2022)

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Toward Adaptive Manufacturing: Scheduling Problems in the Context of Industry 4.0., , , and . ES, page 108-115. IEEE, (2018)Integrated Optimization of IT Service Performance and Availability Using Performability Prediction Models., , and . Wirtschaftsinformatik, (2017)Analyzing the Effects of Load Distribution Algorithms on Energy Consumption of Servers in Cloud Data Centers., , , and . Wirtschaftsinformatik, page 287-301. (2015)Optimizing Server Consolidation for Enterprise Application Service Providers., , and . PACIS, page 243. (2016)Ask the Right Questions: Requirements Engineering for the Execution of Big Data Projects., , and . AMCIS, Association for Information Systems, (2017)On the Utility of Machine Learning for Service Capacity Management of Enterprise Applications., , and . SITIS, page 274-281. IEEE, (2019)A Modernized Model for Performance Requirements and Their Interdependencies., , , , and . AICCSA, page 1-8. IEEE Computer Society, (2019)Architekturkonzept zur Realisierung flexibel erweiterbarer Fachkomponenten.. Rundbr. GI Fachgr. 5 10 Informationssystem Archit., (1999)Towards an Automatized Way for Modeling Big Data System Architectures., , , and . BIS, volume 389 of Lecture Notes in Business Information Processing, page 46-60. Springer, (2020)Reducing Domain Level Scenarios to Test Component-based Software., and . J. Softw., 2 (5): 64-73 (2007)