Category
2,491 papers
This study suggests that software organizations operate through strategic, operational and personal commitment nets, and shows that SPI is driven through the formation and reformation of commitment nets.
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.
Experiences in Applying Agile Software Development in F-Secure and Experience on Applying Quantitative and Qualitative Empiricism to Software Engineering are shared.
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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.
Investigating the Software Fault Profile of Industrial Projects to Determine Process Improvement Areas: An Empirical Study and iCharts: Charts for Software Process Improvement Value Management.
The "Devils" within: Agile Taboos in a Large Organization.
The 3rd International Workshop on Designing Empirical Studies: Assessing the Effectiveness of Agile Methods (IWDES 2009) and more.
The 34 papers presented together with 2 keynote speeches were carefully reviewed and selected and the topics covered are evidence-based software engineering and quality assurance, agile software development, process models and SPI, processes, software as a business.
A new method, called CW-Net, translates the reasoning process of an autonomous vehicle’s AI system into understandable concepts that explain its behavior.
With millions of users across the world, Julia has been used to conduct cutting-edge research and to design new drugs, jet engines, heat pumps, and more.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.
Algorithms & Theory
New MIT research could lead to better materials for a fossil-fuel-free process for making the chemical that's essential to fertilizer and other products.
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