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data science

3,095 papers

#computer vision Open access May 2008

Perspectives on Global Software Development: special issue on PROFES 2007

The Profes conference series was established in 1999 to provide a venue for industry and academia to present and discuss the shift from model-based improvement to a product-oriented perspective in the field of software engineering and software process improvement, which includes a context-oriented understanding of the...

P. Abrahamsson, Jürgen Münch, P. Kuvaja · 4 citations
#computer vision Open access 2011

Failure Prediction using the Cox Proportional Hazard Model

Log messages are proposed to be used to predict failures running devices that read log files of running application and warns about the likely failure of the system; the prediction is based on the Cox Proportional Hazards (PH) model that has been applied successfully in various fields of research.

P. Abrahamsson, I. Fronza, Jelena Vlasenko · 1 citation
#computer vision Open access Sep 2012

Making the leap to a software platform strategy: Issues and challenges

A comprehensive taxonomy of the challenges faced when a medium-scale organization decided to adopt software platforms is provided, namely: business challenges, organizational challenges, technical challenges, and people challenges.

Yaser Ghanam, F. Maurer, P. Abrahamsson · 41 citations · ⚡3
#computer vision Open access Aug 2013

Traverse the landscape of the mind by walking: an exploration of a new brainstorming practice

Three preliminary findings are obtained: walking can lead to an effective idea generation session; brainstorming while walking can encourage team members to participate in and contribute to the session in an equal manner; and it can help a team to maintain sustainable mental energy.

Xiaofeng Wang, D. Graziotin, Juha Rikkilä et al. · 1 citation
#computer vision Review Open access Feb 2013

Foundations and Technological Landscape of Cloud Computing

This paper provides a comprehensive review on the building blocks of cloud computing and relevant technological aspects including architecture, virtualization, data management, and security issues.

Nattakarn Phaphoom, Xiaofeng Wang, P. Abrahamsson · 27 citations
#computer vision Open access Oct 2013

Feature Usage Explorer: Usage Monitoring and Visualization Tool in HTML5 Based Applications

Feature Usage Explorer can be reused in any HTML5 based applications where an understanding of how users interact with the system is required (i.e. user experience and usability studies, human computer interaction field, or requirement prioritization area).

Sarunas Marciuska, P. Abrahamsson · 0 citations
#computer vision Open access Apr 2013

Are Happy Developers more Productive? The Correlation of Affective States of Software Developers and their self-assessed Productivity

An empirical study on the impact of affective states on software developers’ performance while programming and the value of applying psychometrics in Software Engineering studies is demonstrated and a call to valorize the human, individualized aspects of software developers is echoed.

D. Graziotin, Xiaofeng Wang, P. Abrahamsson · 55 citations · ⚡4
#computer vision Open access Nov 2013

Automated Feature Identification in Web Applications

An approach and an associated tool to automate feature identification for web applications are presented and it is indicated that there is a good potential for automating feature identification in web applications.

Sarunas Marciuska, Çigdem Gencel, P. Abrahamsson · 11 citations
#computer vision Open access Sep 2013

On Exploring Consumers' Technology Foresight Capabilities - An Analysis of 4, 000 Mobile Service Ideas

It is claimed that consumers' technology foresight horizon is limited by the existing technological base and the idea database should be an interesting source of ideas for service developers.

Petteri Alahuhta, P. Abrahamsson, Antti Nummiaho · 2 citations · ⚡1

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Microsoft Research Blog Oct 15, 2026

Proof-based general-purpose computing with Magnetar

Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based general-purpose computing with Magnetar appeared first on Microsoft Research.

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