Simulator and reproduction scripts for the paper of the same title. The capsule regenerates every figure and table of the paper and of its supplementary material from the raw output of the simulation campaign, which is downloaded on run. Vehicular Cloud Computing is evaluated on SUMO traces of downtown Rome under three questions: whether the spare on-board capacity of vehicles can serve offloaded tasks within their deadlines, whether doing so pays for the network operator and the vehicle owners, and what it costs in life-cycle CO2 emissions compared with an edge server. The code implements a two-stage scheme (deadline-constrained ILP allocation on nominal beacon estimates, ex-post coalitional revenue sharing on realized outcomes), an M/G/1 queueing model of every executor, and a robust admission rule priced on the gap between declared and delivered capacity.
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 perception of the impact of agile methods is predominantly positive, and several challenge areas were discovered, but based on this study, agile methods are here to stay.
M. Laanti, O. Salo, P. Abrahamsson· Information and Software Tec...· 260 citations· ⚡20
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MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026
Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity. The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.
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