A set of themes that can potentially explain self-organization from the learning viewpoint are identified, which include self-decided learning goals and personalized learning outcomes, peer teaching through active collaboration, diversity is the key and the personal attitude towards the learning matters.
Xiaofeng Wang, M. I. Lunesu, Juha Rikkilä et al.· International Conference on...· 6 citations
This paper aims to understand how software developers experience the continuous adaptation of performance in a modern, highly volatile environment using Lean and Agile software development methodology and generates a grounded theory, Performance Alignment Work, showing howSoftware developers experience performance.
Fabian Fagerholm, Marko Ikonen, Petri Kettunen et al.· Information and Software Tec...· 89 citations· ⚡5
This paper aims contributing to this gap by studying the artistic design flow and the tools utilized by architects, industrial designers and artists, and proposes concrete ways to improve the current state-of-practice.
Juhani Risku, P. Abrahamsson· International Conference on...· 2 citations
The need for agile methods in the focal domain is presented, their shortcomings are identified on the basis of three large-scale case studies from industry and all of the cases deal with the development of mobile information system.
P. Abrahamsson· International Conference on...· 28 citations· ⚡1
The results show that the effect of TDD on program design was not as evident as expected, but the test coverage was significantly superior to iterative test-last development.
Maria Siniaalto, P. Abrahamsson· International Symposium on E...· 55 citations· ⚡5
The Profes conference series was established in 1999 to provide a venue for industry and academia to present and discuss the shift from model-based improvement to a product-oriented perspective in the field of software engineering and software process improvement, which includes a context-oriented understanding of the...
P. Abrahamsson, Jürgen Münch, P. Kuvaja· Software Process: Improvemen...· 4 citations
Results indicate that refactoring not only increases aspects of software quality, but also improves productivity and is applicable to small teams working in similar, highly volatile domains.
Raimund Moser, P. Abrahamsson, W. Pedrycz et al.· Central and East European Co...· 162 citations· ⚡9
Log messages are proposed to be used to predict failures running devices that read log files of running application and warns about the likely failure of the system; the prediction is based on the Cox Proportional Hazards (PH) model that has been applied successfully in various fields of research.
P. Abrahamsson, I. Fronza, Jelena Vlasenko· International Conference on...· 1 citation
A comprehensive taxonomy of the challenges faced when a medium-scale organization decided to adopt software platforms is provided, namely: business challenges, organizational challenges, technical challenges, and people challenges.
Yaser Ghanam, F. Maurer, P. Abrahamsson· Information and Software Tec...· 41 citations· ⚡3
Three preliminary findings are obtained: walking can lead to an effective idea generation session; brainstorming while walking can encourage team members to participate in and contribute to the session in an equal manner; and it can help a team to maintain sustainable mental energy.
Xiaofeng Wang, D. Graziotin, Juha Rikkilä et al.· arXiv.org· 1 citation
Students in MIT’s Concourse program delve deeply into the human condition, debate challenging questions, and learn to develop judgment about issues that can’t be quantified.
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.
MIT News · Artificial Intelligence· news.mit.eduSep 30, 2026
Able to defeat top-ranked human players and more efficient than other models, the new system could help decision-makers in military maneuvers or business negotiations.
Computer scientist, entrepreneur, and philanthropist will collaborate with the MIT Schwarzman College of Computing to advance AI and scientific discovery.
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