Sep 2026· Proceedings in Applied Mathematics and Mechanics· 0 citations· 17 references
Abstract
This work presents a partitioned coupling approach for electromechanical simulations of skeletal muscles. For the first time, we couple our highly specialized electrophysiology solver, which computes both force generation in muscle cells and action potential propagation in muscle fibers, with an external finite element continuum mechanics solver. In particular, we couple an OpenDiHu electrophysiology solver with an FEBio mechanics solver using the coupling library preCICE. Thereby, we present the FEBio adapter and a customized FEBio material, enabling multi‐scale, multi‐physics simulations using a coupled OpenDiHu‐FEBio approach, and incorporating more complex excitation–contraction dynamics and spatial inhomogeneity than in a standard FEBio simulation. We test the OpenDiHu‐FEBio approach on two muscle geometries and compare it to the existing coupled OpenDiHu–OpenDiHu approach, showing that the OpenDiHu–FEBio approach is faster. Besides, we show that preCICE's coupling overhead is small compared to the simulation's total runtime, even when complex, expensive data mapping methods between OpenDiHu and FEBio are used. Using FEBio instead of the OpenDiHu mechanics solver has additional advantages, including support for unstructured grids, multiple well‐established, verified, and tested material models, and an extensive user community. All in all, the implemented OpenDiHu‐FEBio approach shows how we can combine highly application‐specific muscle software with more general tools in a flexible, efficient way, and is a step forward for future development of application‐specific muscle simulations.
This publication proposes a definition and a classification of agile software development approaches and analyses ten software development methods that can be characterized as being "agile" against the defined criterion.
P. Abrahamsson, O. Salo, Jussi Ronkainen et al.· arXiv.org· 727 citations· ⚡54
The study shows that agile practices improve both informal and formal communication, but indicates that, in larger development situations involving multiple external stakeholders, a mismatch of adequate communication mechanisms can sometimes even hinder the communication.
M. Pikkarainen, Jukka Haikara, O. Salo et al.· Empirical Software Engineeri...· 401 citations· ⚡48
The results indicate that software engineering work practices are chosen opportunistically, adapted and configured to provide value under the constrains imposed by the startup context.
Nicolò Paternoster, Carmine Giardino, M. Unterkalmsteiner et al.· Information and Software Tec...· 394 citations· ⚡54
The results show that the embedded industry has been able to apply agile methods in its development processes and that the appreciation of the agile methods and their individual practices appears to increase once adopted and applied in practice.
O. Salo, P. Abrahamsson· IET Software· 238 citations· ⚡9
Consequences of happiness and unhappiness that are beneficial and detrimental for developers' mental well-being, the software development process, and the produced artifacts are found.
D. Graziotin, Fabian Fagerholm, Xiaofeng Wang et al.· Journal of Systems and Softw...· 236 citations· ⚡13
The Mobile-D approach is briefly outlined here and the experiences gained from four case studies are discussed, which helped develop an agile development approach for mobile application development.
P. Abrahamsson, Antti Hanhineva, H. Hulkko et al.· Conference on Object-Oriente...· 225 citations· ⚡18
Requirements in large systems rarely exist in isolation. Their meaning depends on the wider project context - other requirements, policies, decisions, tests, and implementation details. That becomes especially important when AI is used for review, because spotting a possible conflict or gap is only the beginning. ReqSpace explores how AI, visualisation, and connected project context can help reviewers understand those findings, trace the relationships behind them, and focus on the questions that…
AI is making software generation faster, but speed does not remove the need for expertise. As more work is delegated to AI, tacit knowledge may become one of the most important human advantages in software engineering. The post Beyond Prompt Engineering: The Role of Tacit Knowledge in Software Engineering appeared first on GPT-Lab.