Category
3,596 papers
There are more than 2000 excellent ideas in the idea database and a detailed analysis and processing of individual ideas will be in the main role in the refinement process of these ideas.
The hypothesis that refactoring enhances quality and reusability of – otherwise hard to reuse – classes in an agile development environment is sustained.
This tutorial demonstrates how agile solutions are theoretically founded and then in very pragmatic terms shows a longitudinal four-year case study how F-Secure, an antivirus company, from Finland transformed from iterative development to agile development framework.
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A strong positive correlation with one of the tools was found and confirms the usefulness of a static code analysis tool as a way for estimating the amount of defects left in the product.
An Iterative Improvement Process for conducting SPI within individual agile project teams is proposed, which aims at increasing the ability of software developers to improve the development process based on their experiences and context knowledge.
This book constitutes the refereed research proceeding of the 14th European Software Process Improvement Conference, EuroSPI 2007, held in Potsdam, Germany in September 2007 and contains 18 revised full papers presented.
This panel brings together community experts to share and discuss research and field experience that can ameliorate cultural challenges to create synergies in Agile software practices.
The study shows that agile practices improve both informal and formal communication, but indicates that, in larger development situations involving multiple external stakeholders, a mismatch of adequate communication mechanisms can sometimes even hinder the communication.
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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