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3,492 papers
It is shown that current thinking relies on models of commitment that are flawed in both academic and practical sense and four misconceptions are identified in current thinking.
The results indicate that there exist differences in the views of the nature of UCD, and in the motives for implementing it, in the experiences gained and interpretations made of the use of it in relation to each subculture.
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This thesis suggests that the commitment phenomenon is better explained through what can be called strategic, operational and personal commitment nets, which can be used for analyzing the unfolding and alteration of commitment towards a specific entity, in this case a software process improvement endeavor, through time...
Results from the University of Oulu in Finland, where PSP is a mandatory course for students majoring in software engineering, do not indicate a significant improvement in size or effort estimation skills, but the defects found in the unit test phase were decreased.
This work proposes an evolutionary software product line modelling approach based on controllable inheritance of product line members specifications that uses hierarchies of implemented product specifications accompanied by correctness control of product model transformations.
Software engineering theory and practice is still to a large extent based more on faith than on science. Only by contributing to the scientific and empirically grounded body of knowledge within a specific area of application, theory and practice can develop. Experimentation is an important scientific approach to collec...
While extreme programming (XP) relies on certain principles, it requires an extensive set of tools to enable an effective execution of its practices. In many companies, putting stories on the board may not be sufficient for managing rapidly changing requirements. The objective of This work is to report the results from...
GPT-Lab
· gpt-lab.eu
Oct 8, 2026
Exploring how generative AI could make machine vision more accessible to businesses. The post GenEye in a Box: Making Machine Vision Something You Can Just Ask For appeared first on GPT-Lab.
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.
A Blog post by H company on Hugging Face
A Blog post by Liquid AI on Hugging Face
Computer scientist, entrepreneur, and philanthropist will collaborate with the MIT Schwarzman College of Computing to advance AI and scientific discovery.
Human-Computer Interaction and Visualization
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