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climate science

381 papers

#computer vision May 2011

Analyzing tool usage to understand to what extent experts change their activities when mentoring

There is a notable difference in the way the tools are used between the experts working together and the experts mentoring the new developers that have just joined the team, and over time the difference between pairs of experts and mixed pairs working together becomes almost unnoticeable.

P. Abrahamsson, I. Fronza, Jelena Vlasenko · 2 citations
#computer vision Jun 2011

Software product roadmapping in a volatile business environment

A framework is developed for software product roadmapping and results revealed that organizations view the product roadmap mainly as a tool for strategic decision making as it aims at showing the future directions of the company's products.

T. Suomalainen, O. Salo, P. Abrahamsson et al. · 30 citations · ⚡3
#computer vision Sep 2011

Predicting Development Effort from User Stories

In this paper, we propose a method for predicting development effort based on user stories. Such approach is well suited for Agile software projects where requirements are developed along with the project and only sketched in a rough manner. We apply the proposed method to two industrial Agile software projects of very...

P. Abrahamsson, I. Fronza, Raimund Moser et al. · 70 citations · ⚡2
#computer vision Book Aug 2012

Does cloud computing deliver the promised benefits for IT industry?

This paper examines the perceived benefits of cloud computing from the cloud users' perspectives using content analysis techniques and proposes that the empirical insights gained are valuable to both researchers and practitioners.

Nattakarn Phaphoom, Nilay V. Oza, Xiaofeng Wang et al. · 25 citations · ⚡3
#computer vision Dec 2012

Strengths and barriers behind the successful agile deployment—insights from the three software intensive companies in Finland

By identifying the barriers and strengths of agile deployment, the paper deepens understanding of this highly relevant but relatively under-researched phenomenon and contributes to the literature on agile deployment and software process improvement.

M. Pikkarainen, O. Salo, Raija Kuusela et al. · 97 citations · ⚡6
#computer vision Jun 2013

Definitions of Agile Software Development and Agility

The Agile Manifesto and Agile Principles are typically referred to as the definitions of "agile" and "agility", but many other definitions exist in the literature that provide interesting source for research.

M. Laanti, Jouni Similä, P. Abrahamsson · 53 citations · ⚡7

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Microsoft Research Blog Oct 6, 2026

What AI gets wrong and what failure teaches us

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.

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