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
A comparative case study of five small scale software development projects where the effect of TDD on program design was studied using both traditional and package level metrics reveals that an unwanted side effect can be that some parts of the code may deteriorate.
Maria Siniaalto, P. Abrahamsson· Central and East European Co...· 35 citations· ⚡2
There is a vital need for devising a research agenda for identifying and dealing with architecture-centric challenges in agile software development to make it possible to guide the future research on integrating Architecture-centric methods in agile approaches and give advice to the software industry on dealing with Ar...
M. Babar, P. Abrahamsson· International Conference on...· 13 citations
Questions that will be discussed and debated by this panel of leading practitioners and academics are: is Lean harder to adapt and adopt – does Lean require a greater critical mass to make value tangible?
S. Fraser, P. Abrahamsson, R. Davies et al.· International Conference on...· 1 citation
TDD has been found to improve the team confidence in the code quality and simplify significantly the software maintenance and is eager to continue improving the practice application.
A. Marchenko, P. Abrahamsson, T. Ihme· International Conference on...· 30 citations· ⚡1
This workshop discussed the challenges, the research questions and the tradeoffs that need to be addressed for an agile and SPLE integration to enjoy success.
Yaser Ghanam, F. Maurer, P. Abrahamsson et al.· SOEN· 8 citations
Software Product Line Engineering (SPLE) promises to lower the costs of developing individual applications as they heavily reuse existing artifacts and, besides decreasing costs, software reuse achieves faster development and higher quality.
Yaser Ghanam, K. Cooper, P. Abrahamsson et al.· International Conference on...· 1 citation
The 34 papers presented together with 2 keynote speeches were carefully reviewed and selected and the topics covered are evidence-based software engineering and quality assurance, agile software development, process models and SPI, processes, software as a business.
F. Bomarius, M. Oivo, Pivi Jaring et al.· International Conference on...· 3 citations
The application of agile software methods and more recently the integration of Lean practices contribute to the trend of continuous improvement in the software industry. One such area warranting proper empirical evidence is a project’s operational efficiency when using the Kanban method. This short paper takes a new an...
Marko Ikonen, Petri Kettunen, Nilay V. Oza et al.· EUROMICRO Conference on Soft...· 67 citations· ⚡9
The Software Factory of today is not intellectually following the earlier undertakings with the same name stemming back in 1980s in Japan or in the US, but represents the software development of the 2010s.
P. Abrahamsson, Petri Kettunen, Fabian Fagerholm· International Conference on...· 21 citations· ⚡1
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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