This paper suggests a test development process model that takes software reuse techniques and activities into account and shows further that in order to produce reusable test material, the software entities must be expressed in terms of features, in which the test materials are attached to.
M. Karinsalo, P. Abrahamsson· International Conference on...· 12 citations
This book constitutes the refereed research proceeding of the 12th European Software Process Improvement Conference, EuroSPI 2005, held in Budapest, Hungary in November 2005 and contains 18 revised full papers presented.
R. Messnarz, P. Abrahamsson, Ita Richardson· European Conference on Softw...· 0 citations
The empirical results offer support for the argument that the Naked Objects approach is suitable for agile software development and reveal weaknesses in the current Naked Object Framework.
Heikki Keränen, P. Abrahamsson· International Conference on...· 2 citations
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This paper presents a high-level view of a measurement framework that has been used with multiple agile software development industrial case studies and proposes that this technology-dependent framework can be used as a strawman for a guideline of data collection, analysis, and reporting of industrial case study resear...
L. Williams, L. Layman, P. Abrahamsson· ACM SIGSOFT Softw. Eng. Note...· 7 citations
Early results suggest that the behaviors introduced in the model are relevant in SPI initiatives, the use of model raises the awareness about the people issues in improving processes, and the model could be used aside with CMM, SPICE or other process improvement models.
P. Abrahamsson· Software quality journal· 10 citations
This work proposes an enhanced model where the usability capability is analyzed from three dimensions: user- centered infrastructure, implementation of user-centered practices in development projects, and business management commitment to usability as a competitive asset.
Timo Jokela, P. Abrahamsson· International Conference on...· 14 citations
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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