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Publications by Software Engineering & Computing Systems

Are you looking for publications by Section of Software Engineering & Computing Systems? On this page you can find all the publications made by the Section of Software Engineering & Computing Systems - Department of Electrical and Computer Engineering, Aarhus University.

Below you can find a list of all the publications, their publishing date, their author(s), and titles. The list can be sorted by date, author, and title:

List of Publications

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Armacki, A., Milosevic, N., Bajovic, D., Kar, S., Jakovetic, D., Bakhtiarnia, A., Esterle, L., Muscat, A. & Festi, T. (2023). Communication efficient model-aware federated learning for visual crowd counting and density estimation in smart cities. In 31st European Signal Processing Conference, EUSIPCO 2023 - Proceedings (pp. 875-879). European Signal Processing Conference, EUSIPCO. https://doi.org/10.23919/EUSIPCO58844.2023.10289938
Esterle, L. (2022). Collaborative Systems: Learning and Working Together. CEUR Workshop Proceedings, 3461.
Wewer, C. R., Mahapatra, H., Esterle, L. & Larsen, P. G. (2024). Using FactoryML for Deployment of Machine Learning Models in Industrial Production. In T. Facchinetti, A. Cenedese, L. L. Bello, S. Vitturi, T. Sauter & F. Tramarin (Eds.), 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation, ETFA 2024 IEEE. https://doi.org/10.1109/ETFA61755.2024.10710938
Domini, D., Aguzzi, G., Esterle, L. & Viroli, M. (2024). Field-Based Coordination for Federated Learning. In I. Castellani & F. Tiezzi (Eds.), Coordination Models and Languages - 26th IFIP WG 6.1 International Conference, COORDINATION 2024, Held as Part of the 19th International Federated Conference on Distributed Computing Techniques, DisCoTec 2024, Proceedings (pp. 56-74). Springer Science+Business Media. https://doi.org/10.1007/978-3-031-62697-5_4
Aguzzi, G., Viroli, M. & Esterle, L. (2023). Field-informed Reinforcement Learning of Collective Tasks with Graph Neural Networks. In Proceedings - 2023 IEEE International Conference on Autonomic Computing and Self-Organizing Systems, ACSOS 2023 (pp. 37-46). IEEE. https://doi.org/10.1109/ACSOS58161.2023.00021
Larsen, P. G., Esterle, L., Fitzgerald, J. & Frasheri, M. (2023). Fault Injection in Co-simulation and Digital Twins for Cyber-Physical Robotic Systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 222-236). Springer Science+Business Media. https://doi.org/10.1007/978-3-031-40132-9_14
Merhi, Y., Agarwala, S., Goumarre, V. O. Y., Lozano Montero, K., Mantysalo, M., Klarskov, P. & Amarasinghe, Y. (2024). THz Spectroscopy Analysis of Crystallinity Optimization for Enhanced Piezoelectricity in Biodegradable Poly-L-Lactide Acid. In FLEPS 2024 - IEEE International Conference on Flexible and Printable Sensors and Systems, Proceedings: Conference Proceedings (pp. 1-4). IEEE. https://doi.org/10.1109/FLEPS61194.2024.10604083
Kristensen, M. H., Bonizzi, A., Gomes, C., Hansen, S. T., Isasa Martin, C. I., Iven, H., Kamburjan, E., Larsen, P. G., Leucker, M., Talasila, P., Evans, V. T., Tonetta, S., Vosteen, L. B. & Wright, T. D. (2024). Runtime Verification of Autonomous Systems Utilizing Digital Twins as a Service. In 2024 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C) (pp. 121-127). IEEE. https://doi.org/10.1109/ACSOS-C63493.2024.00042
Dideriksen, A. K., Andersen, M. F., Priest, J., Eriksen, N. F., Frandsen, M. T., Melvad, C., Rasmussen, T. F., Nielsen, N. H. K., Strømsnes, C. T., Ahlebæk, M. J., Samsing, S., Larsen, T. B., Don, J., Pedersen, L. A. N., Jacobsen, R. H., Rysgaard, S., Kim, J. M., Bayer, R., Christensen, C. ... Karoff, C. (2024). DISCO-2 – an ambitious earth observing student CubeSat for arctic climate research. Frontiers in Remote Sensing, 5, Article 1474560. https://doi.org/10.3389/frsen.2024.1474560
Esterle, L., Frasheri, M. & Larsen, P. G. (2024). Autonomous Reconfiguration Enabled by Digital Twins. In J. Fitzgerald, C. Gomes & P. G. Larsen (Eds.), The Engineering of Digital Twins (pp. 345-362). Springer. https://doi.org/10.1007/978-3-031-66719-0_14
Kulik, T., Kazemi, Z. & Larsen, P. G. (2024). Security and Privacy-related Issues in a Digital Twin Context. In J. Fitzgerald, C. Gomes & P. G. Larsen (Eds.), The Engineering of Digital Twins (pp. 313-334). Springer. https://doi.org/10.1007/978-3-031-66719-0_13
Oakes, B. J., Zhang, H., Hatledal, L. I., Feng, H., Frasheri, M., Sandberg, M., Gil Arboleda, S. & Gomes, C. (2024). Case Studies in Digital Twins. In J. Fitzgerald, C. Gomes & P. G. Larsen (Eds.), The Engineering of Digital Twins (pp. 257-310). Springer. https://doi.org/10.1007/978-3-031-66719-0_12
Talasila, P., Mikkelsen, P. H., Gil Arboleda, S. & Larsen, P. G. (2024). Realising Digital Twins. In J. Fitzgerald, C. Gomes & P. G. Larsen (Eds.), The Engineering of Digital Twins (pp. 225-256). Springer. https://doi.org/10.1007/978-3-031-66719-0_11
Frasheri, M., Böttjer, T., Larsen, P. G., Esterle, L. & Gomes, C. (2024). Advanced Digital Twin Services. In J. Fitzgerald, C. Gomes & P. G. Larsen (Eds.), The Engineering of Digital Twins (pp. 209-222). Springer. https://doi.org/10.1007/978-3-031-66719-0_10
Frasheri, M., Katsaros, P., Iosifidis, A., Hansen, S. T., Gomes, C., Evans, V. T. & Larsen, P. G. (2024). System Monitoring through a Digital Twin. In J. Fitzgerald, C. Gomes & P. G. Larsen (Eds.), The Engineering of Digital Twins (pp. 189-207). Springer. https://doi.org/10.1007/978-3-031-66719-0_9
H. Bohlbro, C., Macedo, H. D., Tola, D., Esterle, L. & Larsen, P. G. (2024). Visualisation in a Digital Twin Context. In J. Fitzgerald, C. Gomes & P. G. Larsen (Eds.), The Engineering of Digital Twins (pp. 175-188). Springer. https://doi.org/10.1007/978-3-031-66719-0_8
Gomes, C., Feng, H., Kazemi, Z. & Pierce, K. (2024). Calibration of Models for Digital Twins. In J. Fitzgerald, C. Gomes & P. G. Larsen (Eds.), The Engineering of Digital Twins (pp. 129-146). Springer. https://doi.org/10.1007/978-3-031-66719-0_6
Abbiati, G., Gomes, C., Sandberg, M., Kazemi, Z., Hansen, S. T. & Larsen, P. G. (2024). Modelling for Digital Twins. In J. Fitzgerald, C. Gomes & P. G. Larsen (Eds.), The Engineering of Digital Twins (pp. 89-127). Springer. https://doi.org/10.1007/978-3-031-66719-0_5
Gomes, C., Oakes, B. J., Fitzgerald, J. & Larsen, P. G. (2024). Foundational Concepts for Digital Twins of Cyber-Physical Systems. In J. Fitzgerald, C. Gomes & P. G. Larsen (Eds.), The Engineering of Digital Twins (pp. 45-63). Springer. https://doi.org/10.1007/978-3-031-66719-0_3
Fitzgerald, J., Larsen, P. G., Gomes, C., Charlton, R., Kristensen, K., Basagiannis, S. & Åkeson, J. (2024). The Potential of Digital Twins: Four Industry Perspectives. In J. Fitzgerald, C. Gomes & P. G. Larsen (Eds.), The Engineering of Digital Twins (pp. 19-43). Springer. https://doi.org/10.1007/978-3-031-66719-0_2
Larsen, P. G., Fitzgerald, J., Gomes, C., Woodcock, J., Basagiannis, S., Ulisse, A., Esterle, L., Lucani Rötter, D. E., Hansen, S. T. & Oakes, B. J. (2024). Future Directions and Challenges. In J. Fitzgerald, C. Gomes & P. G. Larsen (Eds.), The Engineering of Digital Twins (pp. 363-386). Springer. https://doi.org/10.1007/978-3-031-66719-0_15
Gomes, C., Lucani Rötter, D. E., Iosifidis, A., Feng, H., Ejersbo, H. & Frasheri, M. (2024). Sensing and Communication of Data from the Physical Twin. In J. Fitzgerald, C. Gomes & P. G. Larsen (Eds.), The Engineering of Digital Twins (pp. 147-171). Springer. https://doi.org/10.1007/978-3-031-66719-0_7#citeas
Šeta, B., Sandberg, M., Brander, M., Mollah, M. T., Pokkalla, D. K., Kumar, V. & Spangenberg, J. (2024). Numerical modeling of fiber orientation in multi-layer, isothermal material-extrusion big area additive manufacturing. Additive Manufacturing, 92, Article 104396. https://doi.org/10.1016/j.addma.2024.104396
Cruz Salazar, L. A., Gil Arboleda, S., Rueda Carvajal, G. D., Sánchez-Zuluaga, G. J. & D. Zapata-Madrigal, G. (2024). AI in assessing Industry 4.0 adoption in Colombia: a case study approach. IFAC-PapersOnLine, 58(8), 162-167. https://doi.org/10.1016/j.ifacol.2024.08.067
Jahangir, M. F., Kamari, A. & Schultz, C. P. L. (2024). Developing A Building Simulation Identity Card for Enhanced Safety and Collaboration in Emergency Evacuation Simulations. In M. Srećković, M. Kassem, R. Soman & A. Chassiakos (Eds.), Proceedings of the 2024 European Conference on Computing in Construction (pp. 128-135) https://doi.org/10.35490/EC3.2024.199, https://doi.org/10.35490/EC3.2024.199
Zayed, Y. N. H., Kristoffersen, A. E., Lohm, G., Kamari, A. & Schultz, C. P. L. (2024). The Anatomy of an Architect´s Argument: Formally Capturing Socially-Oriented Design Intentions in the Built Environment. In M. Srećković, M. Kassem, R. Soman & A. Chassiakos (Eds.), Proceedings of the 2024 European Conference on Computing in Construction (pp. 268-275) https://doi.org/10.35490/EC3.2024.186
Lokan, C. & Mendes, E. (2006). Cross-company and Single-company Effort Models using the ISBSG Database: a Further Replicated Study. In ISCE'06 - Proceedings of the 5th ACM-IEEE International Symposium on Empirical Software Engineering (pp. 75–84). Association for Computing Machinery. https://doi.org/10.1145/1159733.1159747
Caro, A., Calero, C., Mendes, E. & Piattini, M. (2007). A Probabilistic Approach to Web Portal’s Data Quality Evaluation. In 6th International Conference on the Quality of Information and Communications Technology (QUATIC 2007) (pp. 3-11). Article 4335229 IEEE. https://doi.org/10.1109/QUATIC.2007.10
Corazza, A., Di Martino, S., Ferrucci, F., Gravino, C. & Mendes, E. (2009). Applying Support Vector Regression for Web Effort Estimation using a Cross-Company Dataset. In 2009 3rd International Symposium on Empirical Software Engineering and Measurement, ESEM 2009 (pp. 191-202). Article 5315991 IEEE. https://doi.org/10.1109/ESEM.2009.5315991
Corazza, A., DI MARTINO, SERGIO., FERRUCCI, FILOMENA., GRAVINO, CARMINE., Sarro, F. & Mendes, E. (2010). How Effective is Tabu search to configure support vector regression for effort estimation? In 6th International Conference on Predictive Models in Software Engineering, PROMISE 2010 (pp. 1–10). Article 4 Association for Computing Machinery. https://doi.org/10.1145/1868328.1868335
Turhan, B. & Mendes, E. (2014). A Comparison of Cross- versus Single-company Effort Prediction Models for Web Projects. In R. Rabiser, R. Torkar & R. Torkar (Eds.), Proceedings - 40th Euromicro Conference Series on Software Engineering and Advanced Applications, SEAA 2014 (pp. 285-292). Article 6928824 IEEE. https://doi.org/10.1109/SEAA.2014.41
Casadei, R., Esterle, L., Gamble, R., Harvey, P. & Wanner, E. F. (2024). Editorial: Understanding and engineering cyber-physical collectives. Frontiers in Robotics and AI, 11, Article 1407421. https://doi.org/10.3389/frobt.2024.1407421
Esterle, L., Montagna, S., Pianini, D., Aguzzi, G., Bellman, K. L., Ciatto, G., Contoli, C., Donati, M., Mariani, S., Rahmani, A., Savaglio, C., Storti, E., TaheriNejad, N., van der Sluis, O. & Wang, Z. (2024). MADTECC 2024: 1st Workshop on Medical Applications with Digital Twins and Edge-cloud Continuum - Welcome and Committees. In 2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) (pp. 30-31). IEEE. https://doi.org/10.1109/PerComWorkshops59983.2024.10502899
Salleh, N., Mendes, E., Mendes, F., Lekamlage, D. & Petersen, K. (2023). Value-based Software Engineering: A Systematic Mapping Study. E-Informatica Software Engineering Journal , 17(1), Article 230106. https://doi.org/10.37190/e-Inf230106
Guimarães, G., Costa, I., Perkusich, M., Mendes, E., Santos, D., Almeida, H. & Perkusich, A. (2024). Investigating the relationship between personalities and agile team climate: A replicated study. Information and Software Technology, 169, Article 107407. https://doi.org/10.1016/j.infsof.2024.107407