Oct 2026· Zenodo (CERN European Organization for Nuclear Research)
Advanced Numerical Methods in Computational Mathematics
Abstract
This deposit is the numerical companion to “One-Sided p-Explicit Stability for High-Order Cut Finite Element Nitsche Methods” by Erik Burman, Peter Hansbo, Mats G. Larson and Karl Larsson. It contains Python experiment code, case parameters, compact reference data, reproducibility instructions and the Numerical Verification Guide. The implementation uses two-dimensional triangular Pp finite elements and CPU-based dense linear algebra. The studies cover polynomial continuation, one-sided flux estimates, penalty thresholds, convergence, numerical precision, Schwarz comparisons and exact tube certificates. The compact data retain 4,959 reference observations, 239 failed criteria and 22 tables, including known accuracy flags, the original solver-stopping failure and unresolved higher-degree attempts. Selected validation covers 15 numerical commands across ten study families; it is not a rerun of the full 257-command campaign or an audit of the omitted raw archives. Raw run archives and manuscript sources are not included. Detailed run records and exact certificates can be regenerated using the documented commands. The continuation and tube studies are tested on Apple Silicon macOS and Linux x86-64. The remaining supplied validation studies require the documented Linux configuration with a 64-bit longdouble significand and multiprocessing fork. The package includes file-integrity checks and pinned dependencies. Licensing is component-specific: Python code and software documentation are licensed under MIT; numerical data and the Numerical Verification Guide are licensed under CC BY 4.0. See LICENSE for the precise scope. AI assistance and author responsibility are disclosed in README.md. Source repository: KarlLarssonUmU/one-sided-hp-cutfemArchived commit: b6265c407371079d463d0c2ba18bcc3f1a658494.
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
Related blog posts
Microsoft Research Blog· microsoft.comOct 30, 2026
Evaluating Microsoft Copilot at enterprise scale requires test data that captures the full complexity of real organizations, yet real enterprise data contains sensitive information that cannot be used for evaluation under any circumstances. The post From synthetic enterprise data evaluations to real Microsoft Copilot AI confidence appeared first on Microsoft Research.
Microsoft Research Blog· microsoft.comOct 29, 2026
Host Sowbhagya Suresh shares some of the latest news and cutting-edge research from across Microsoft—from understanding the challenges facing coding agents to uncovering how people use AI at work and improving extended-range weather forecasting. The post Microsoft Research Focus – Edition #97 appeared first on Microsoft Research.
“X-Hinges” helps design and 3D print items like lamps and gloves with an interactive twist: automatically embedded sensors that perceive and adaptively respond to human contact.
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.