By identifying the barriers and strengths of agile deployment, the paper deepens understanding of this highly relevant but relatively under-researched phenomenon and contributes to the literature on agile deployment and software process improvement.
M. Pikkarainen, O. Salo, Raija Kuusela et al.· Empirical Software Engineeri...· 97 citations· ⚡6
The Agile Manifesto and Agile Principles are typically referred to as the definitions of "agile" and "agility", but many other definitions exist in the literature that provide interesting source for research.
M. Laanti, Jouni Similä, P. Abrahamsson· European Conference on Softw...· 53 citations· ⚡7
SEMAT Accelerator is a web-positioning tool for a software project, which implements the Essence kernel and its elements, and enables teaching, adopting, and researching Essence in controlled experiments and case studies.
Statistical data shows that the use of PSP did not improve size and time estima- tion skills but that the productivity did not decrease and the resulting product quality was improved.
P. Abrahamsson, K. Kautz, Heikki Sieppi et al.· arXiv.org· 1 citation
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This paper investigates how usage of features relate to their perceived value and shed light into the factors affecting this relationship and shows that feature usage metric has a significant potential to estimate value of features.
Sarunas Marciuska, Çigdem Gencel, P. Abrahamsson· International Conference on...· 15 citations
A conceptual framework of cloud computing benefits is proposed, based on various benefit taxonomies presented in the Information System literature, and accounts for the different business areas and organizational levels where each of the benefits manifests.
Nattakarn Phaphoom, Xiaofeng Wang, P. Abrahamsson· International Conference on...· 7 citations
A modelling notation, so called Feature Usage Diagram, and an approach to identify and visualize the required information for decision makers when reducing features, which has potential to support developers when making decisions for feature reduction.
Sarunas Marciuska, Çigdem Gencel, Xiaofeng Wang et al.· International Conference on...· 5 citations
This paper proposes a novel approach called the unproject leadership model, which translates and maps the specific complexity concepts to the software development domain, consolidating them with the contributions already achieved by the lean and agile literature.
Juha Rikkilä, Xiaofeng Wang, P. Abrahamsson· Lean Enterprise Software and...· 0 citations
Early results indicate that change agents valued the process user satisfaction the most and the process improvement fit the least, confirming the need of having various stakeholders and dimensions acknowledged in a framework that is used to measure the overall success of an SPI initiative.
This study presents the results of a systematic mapping study on software size estimation metrics and methods. The methods are investigated based on the entity type(s) measured by the method, size attribute type, size measure(s), and theoretical/empirical validation status of the method, and restriction with respect to...
Sohaib Shahid Bajwa, Çigdem Gencel, P. Abrahamsson· Joint Conference of Internat...· 10 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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