Abstract. PyBacktrack is a Python community software package that reconstructs the paleo-water depth (paleobathymetry) of ocean drill sites and industry wells through time by combining a model of tectonic subsidence with sediment decompaction and isostatic correction. Since the release of pyBacktrack 1.0, the software has undergone substantial development that culminates in pyBacktrack 1.5. The package now (i) runs on Python 3 and is distributed via the Python Package Index, conda-forge and Docker; (ii) includes a new paleobathymetry gridding module that reconstructs and backtracks all submerged present-day crust through geological time to produce time-dependent paleobathymetry grids; (iii) uses an updated default oceanic age-to-depth model, a globally complete set of rift start/end age grids derived from a deforming plate model, an updated total sediment thickness grid and an updated present-day age grid; (iv) supports both mantle and paleomagnetic reference frames and allows the gridded paleobathymetry to be optionally merged with externally produced paleobathymetry on synthetic, subducted crust; and (v) ships with expanded sea-level model and dynamic topography model libraries. We illustrate pyBacktrack 1.5 with three applications: (1) paleobathymetry reconstructions since the Early Cretaceous of the North Atlantic and the Southern Ocean; (2) one-dimensional backstripping and geohistory analysis at a long-record industry well on the Australian North West Shelf in three configurations (including or omitting eustatic sea level, and including a joint sea level and dynamic topography correction); and (3) a margin-scale gridded tectonic-subsidence-rate analysis of 109 Australian Northwest Shelf industry wells, quantifying how much of the inferred tectonic subsidence rate is dependent on eustatic and dynamic-topographic corrections in space and time. Together, these developments make pyBacktrack 1.5 a more accessible, extensible and globally applicable framework for reconstructing paleobathymetry and testing the tectonic, sedimentary, sea-level and dynamic-topographic controls on basin evolution.
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
Is your company’s AI sovereign? A practical guide for CIOs on AI vendor lock-in, EU Data Act switching, cloud sovereignty, and testing your exit plan before you need it. The post Sovereignty Is the Option to Leave appeared first on GPT-Lab.
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.
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.