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1,707 papers
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.
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.
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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.
Agile methods continue to gain popularity. In particular, the Scrum method appears to be on the verge of becoming a de-facto standard in the industry, leading the so called Agile movement. While there are success stories and recommendations, there is little scientifically valid evidence of the challenges in the adoptio...
Some claim that especially in the field of agile software development the research lags years behind of the practice. In this paper, we characterize the status and main challenges for research on agile software development, and propose a preliminary roadmap, focusing on providing more empirical research, primarily on e...
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.
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.
A Blog post by H company on Hugging Face
The PKG Center for Social Impact expands Code.Tulsa experiential learning program.
Computer scientist, entrepreneur, and philanthropist will collaborate with the MIT Schwarzman College of Computing to advance AI and scientific discovery.
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