Amiri, Arman, et al. “An Integrated Fuzzy Analytic Network Process and Fuzzy Regression Method for Bitcoin Price Prediction.”10.1016/j.iot.2023.101027__Internet of Things, vol. 25, 101027, Elsevier BV, 2024, doi:10.1016/j.iot.2023.101027.

Mahmoodi, Ehsan, et al. “Data-Driven Simulation-Based Decision Support System for Resource Allocation in Industry 4.0 and Smart Manufacturing.”10.1016/j.jmsy.2023.11.019__Journal of Manufacturing Systems, vol. 72, Elsevier BV, 2024, pp. 287–307, doi:10.1016/j.jmsy.2023.11.019.

Tavana, Madjid, and Shahryar Sorooshian. “A Systematic Review of the Soft Computing Methods Shaping the Future of the Metaverse.”10.1016/j.asoc.2023.111098__Applied Soft Computing, vol. 150, 111098, Elsevier BV, 2024, doi:10.1016/j.asoc.2023.111098.

Maack, Marten. “Online Load Balancing on Uniform Machines with Limited Migration.”10.1016/j.orl.2023.02.013__Operations Research Letters, vol. 51, no. 3, Elsevier BV, 2023, pp. 220–25, doi:10.1016/j.orl.2023.02.013.

Gräßler, Iris, et al. “Methodology for Certification-Compliant Effect-Chain Modeling.”10.3390/systems11030154__Systems, vol. 11, no. 3, 154, MDPI AG, 2023, doi:10.3390/systems11030154.

Schade, Robert, et al. “Breaking the Exascale Barrier for the Electronic Structure Problem in Ab-Initio Molecular Dynamics.”10.1177/10943420231177631__The International Journal of High Performance Computing Applications, 109434202311776, SAGE Publications, 2023, doi:10.1177/10943420231177631.

Wilke, Daria, et al. “Lessons Learned from the Introduction of Systems Engineering.”10.3390/systems11030119__Systems, vol. 11, no. 3, 119, MDPI AG, 2023, doi:10.3390/systems11030119.

Fumagalli, Fabian, et al. “Incremental Permutation Feature Importance (IPFI): Towards Online Explanations on Data Streams.”10.1007/s10994-023-06385-y__Machine Learning, Springer Science and Business Media LLC, 2023, doi:10.1007/s10994-023-06385-y.

Torres, Adriano, et al. “Runtime Verification of Crypto APIs: An Empirical Study.”10.1109/tse.2023.3301660__IEEE Transactions on Software Engineering, vol. 49, no. 10, Institute of Electrical and Electronics Engineers (IEEE), 2023, pp. 4510–25, doi:10.1109/tse.2023.3301660.

Piskachev, Goran, et al. “Can the Configuration of Static Analyses Make Resolving Security Vulnerabilities More Effective? - A User Study.”10.1007/s10664-023-10354-3__Empirical Software Engineering, vol. 28, no. 5, 118, Springer Science and Business Media LLC, 2023, doi:10.1007/s10664-023-10354-3.

Bartelheimer, Christian, et al. “Workarounds as Generative Mechanisms for Bottomup Process Innovation—Insights from a Multiple Case Study.”10.1111/isj.12435__Information Systems Journal, vol. 33, no. 5, Wiley, 2023, pp. 1085–150, doi:10.1111/isj.12435.

Fumagalli, Fabian, et al. “Incremental Permutation Feature Importance (IPFI): Towards Online Explanations on Data Streams.”10.1007/s10994-023-06385-y__Machine Learning, vol. 112, no. 12, Springer Science and Business Media LLC, 2023, pp. 4863–903, doi:10.1007/s10994-023-06385-y.

Nachtigall, Marcus, et al. “Evaluation of Usability Criteria Addressed by Static Analysis Tools on a Large Scale.” Software Engineering 2023, Gesellschaft für Informatik e.V., 2023, pp. 95–96.

Sadeghi-Kohan, Somayeh, et al. “Workload-Aware Periodic Interconnect BIST.”10.1109/mdat.2023.3298849__IEEE Design &;Test, Institute of Electrical and Electronics Engineers (IEEE), 2023, pp. 1–1, doi:10.1109/mdat.2023.3298849.

Tavana, Madjid, et al. “An Interval Multi-Criteria Decision-Making Model for Evaluating Blockchain-IoT Technology in Supply Chain Networks.”10.1016/j.iot.2023.100786__Internet of Things, vol. 22, 100786, Elsevier BV, 2023, doi:10.1016/j.iot.2023.100786.

Tavana, Madjid, et al. “A Fuzzy Preference Programming and Weighted Influence Non-Linear Gauge System for Mission Architecture Assessment at NASA.”10.1016/j.asoc.2023.110572__Applied Soft Computing, vol. 145, 110572, Elsevier BV, 2023, doi:10.1016/j.asoc.2023.110572.

Mahdiraji, Hannan Amoozad, et al. “A Game-Theoretic Framework for Analyzing the Impact of Social Responsibility and Supply Chain Profitability.”10.1080/01969722.2022.2055402__Cybernetics and Systems, vol. 54, no. 1, Informa UK Limited, 2023, pp. 104–37, doi:10.1080/01969722.2022.2055402.

Gottschalk, Sebastian, et al. “Model-Driven Continuous Experimentation on Component-Based Software Architectures .”10.1109/ICSA-C54293.2022.00011__Proceedings of the 18th International Conference on Software Architecture Companion , IEEE, 2022, doi:10.1109/ICSA-C54293.2022.00011.

Nachtigall, Marcus, et al. “A Large-Scale Study of Usability Criteria Addressed by Static Analysis Tools.”10.1145/3533767__Proceedings of the 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, ACM, 2022, pp. 532–43, doi:10.1145/3533767.

Schubert, Philipp, et al. “Static Data-Flow Analysis for Software Product Lines in C.”10.1007/s10515-022-00333-1__Automated Software Engineering, vol. 29, no. 1, 35, Springer Science and Business Media LLC, 2022, doi:10.1007/s10515-022-00333-1.