Category
539 papers
This empirical case demonstrates that while the customer was present close to 100% with the development team, only 21% of his work effort was required to assist the team in the development.
The Mobile-D approach is briefly outlined here and the experiences gained from four case studies are discussed, which helped develop an agile development approach for mobile application development.
Results of a case study where a mobile application was developed for global markets, using the TDD approach show that the adoption of TDD is difficult and the potential agility benefits may not be readily available.
Reach audiences
Advertise in front of researchers, engineers, and readers.
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.
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.
By rethinking how large cloud computing systems operate, Associate Professor Christina Delimitrou seeks to make data centers more energy efficient.
An ongoing survey tracks the latest AI accelerator systems to keep hardware relevant for Lincoln Laboratory staff and sponsors.
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.
Associate Professor Cathy Wu uses reinforcement learning to help map out improvements to transportation and other multifaceted systems.
Biology doesn't operate in silos, and neither should the AI representation of it. Quine is an early-stage research effort to create a multimodal world model of biology. By connecting insights across biological scales and modalities, Quine helps scientists computationally search a space far larger than intuition allows and prioritize hypotheses before they reach the lab. Experimental results provide important feedback, helping researchers sharpen future research directions. The post Introducing Q…
A Blog post by Multiverse Computing on Hugging Face
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
