A. Amiri, M. Tavana, and H. Arman, “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, Art. no. 101027, 2024, doi:10.1016/j.iot.2023.101027 .
LibreCat: /record/53213
DOI: 10.1016/j.iot.2023.101027

E. Mahmoodi, M. Fathi, M. Tavana, M. Ghobakhloo, and A. H. C. Ng, “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, pp. 287–307, 2024, doi:10.1016/j.jmsy.2023.11.019 .
LibreCat: /record/53212
DOI: 10.1016/j.jmsy.2023.11.019

M. Tavana and S. 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, Art. no. 111098, 2024, doi:10.1016/j.asoc.2023.111098 .
LibreCat: /record/53205
DOI: 10.1016/j.asoc.2023.111098

M. Maack, “Online load balancing on uniform machines with limited migration,”10.1016/j.orl.2023.02.013__Operations Research Letters, vol. 51, no. 3, pp. 220–225, 2023, doi:10.1016/j.orl.2023.02.013 .
LibreCat: /record/44077
DOI: 10.1016/j.orl.2023.02.013

I. Gräßler, D. Wiechel, A.-S. Koch, T. Sturm, and T. Markfelder, “Methodology for Certification-Compliant Effect-Chain Modeling,”10.3390/systems11030154__Systems, vol. 11, no. 3, Art. no. 154, 2023, doi:10.3390/systems11030154 .
LibreCat: /record/44382
DOI: 10.3390/systems11030154

R. Schade, T. Kenter, H. Elgabarty, M. Lass, T. Kühne, and C. Plessl, “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, Art. no. 109434202311776, 2023, doi:10.1177/10943420231177631 .
LibreCat: /record/45361
DOI: 10.1177/10943420231177631

D. Wilke, R. Grothe, L. Bretz, H. Anacker, and R. Dumitrescu, “Lessons Learned from the Introduction of Systems Engineering,”10.3390/systems11030119__Systems, vol. 11, no. 3, Art. no. 119, 2023, doi:10.3390/systems11030119 .
LibreCat: /record/47800
DOI: 10.3390/systems11030119

F. Fumagalli, M. Muschalik, E. Hüllermeier, and B. Hammer, “Incremental permutation feature importance (iPFI): towards online explanations on data streams,”10.1007/s10994-023-06385-y__Machine Learning, 2023, doi:10.1007/s10994-023-06385-y .
LibreCat: /record/48777
DOI: 10.1007/s10994-023-06385-y

A. Torres et al., “Runtime Verification of Crypto APIs: An Empirical Study,”10.1109/tse.2023.3301660__IEEE Transactions on Software Engineering, vol. 49, no. 10, pp. 4510–4525, 2023, doi:10.1109/tse.2023.3301660 .
LibreCat: /record/46816
DOI: 10.1109/tse.2023.3301660

G. Piskachev, M. Becker, and E. Bodden, “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, Art. no. 118, 2023, doi:10.1007/s10664-023-10354-3 .
LibreCat: /record/49439
DOI: 10.1007/s10664-023-10354-3

C. Bartelheimer, V. Wolf, and D. Beverungen, “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, pp. 1085–1150, 2023, doi:10.1111/isj.12435 .
LibreCat: /record/51770
DOI: 10.1111/isj.12435

F. Fumagalli, M. Muschalik, E. Hüllermeier, and B. Hammer, “Incremental permutation feature importance (iPFI): towards online explanations on data streams,”10.1007/s10994-023-06385-y__Machine Learning, vol. 112, no. 12, pp. 4863–4903, 2023, doi:10.1007/s10994-023-06385-y .
LibreCat: /record/50262
DOI: 10.1007/s10994-023-06385-y

M. Nachtigall, M. Schlichtig, and E. Bodden, “Evaluation of Usability Criteria Addressed by Static Analysis Tools on a Large Scale,” in Software Engineering 2023, Bonn: Gesellschaft für Informatik e.V., 2023, pp. 95–96.
LibreCat: /record/52662

S. Sadeghi-Kohan, S. Hellebrand, and H.-J. Wunderlich, “Workload-Aware Periodic Interconnect BIST,”10.1109/mdat.2023.3298849__IEEE Design &;Test, pp. 1–1, 2023, doi:10.1109/mdat.2023.3298849 .
LibreCat: /record/46264
DOI: 10.1109/mdat.2023.3298849

M. Tavana, A. Khalili Nasr, A. B. Ahmadabadi, A. S. Amiri, and H. Mina, “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, Art. no. 100786, 2023, doi:10.1016/j.iot.2023.100786 .
LibreCat: /record/53220
DOI: 10.1016/j.iot.2023.100786

M. Tavana, M. S. Heidary, and H. Mina, “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, Art. no. 110572, 2023, doi:10.1016/j.asoc.2023.110572 .
LibreCat: /record/53215
DOI: 10.1016/j.asoc.2023.110572

H. A. Mahdiraji, M. Tavana, and A. Rezayar, “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, pp. 104–137, 2023, doi:10.1080/01969722.2022.2055402 .
LibreCat: /record/53230
DOI: 10.1080/01969722.2022.2055402

S. Gottschalk, E. Yigitbas, and G. Engels, “Model-driven Continuous Experimentation on Component-based Software Architectures ,”10.1109/ICSA-C54293.2022.00011__presented at the 18th International Conference on Software Architecture , Hawaii, 2022, doi:10.1109/ICSA-C54293.2022.00011 .
LibreCat: /record/29842
DOI: 10.1109/ICSA-C54293.2022.00011

M. Nachtigall, M. Schlichtig, and E. Bodden, “A Large-Scale Study of Usability Criteria Addressed by Static Analysis Tools,”10.1145/3533767__in Proceedings of the 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, 2022, pp. 532–543, doi:10.1145/3533767 .
LibreCat: /record/32410
DOI: 10.1145/3533767

P. Schubert 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, Art. no. 35, 2022, doi:10.1007/s10515-022-00333-1 .
LibreCat: /record/30511
DOI: 10.1007/s10515-022-00333-1