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3,366 papers

#computer vision Open access Dec 2002

Commitment Nets in Software Process Improvement

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.

P. Abrahamsson · 35 citations · ⚡2
#computer vision Conference Sep 2010

Exploring the Sources of Waste in Kanban Software Development Projects

The application of agile software methods and more recently the integration of Lean practices contribute to the trend of continuous improvement in the software industry. One such area warranting proper empirical evidence is a project’s operational efficiency when using the Kanban method. This short paper takes a new an...

Marko Ikonen, Petri Kettunen, Nilay V. Oza et al. · 67 citations · ⚡9
#computer vision Dec 2013

Agile Project - An Oxymoron? Proposing an Unproject Leadership Model for Complex Space

This paper proposes a novel approach called the unproject leadership model, which translates and maps the specific complexity concepts to the software development domain, consolidating them with the contributions already achieved by the lean and agile literature.

Juha Rikkilä, Xiaofeng Wang, P. Abrahamsson · 0 citations
#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 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
#machine learning Open access 2014

Towards Abstraction and Automation in Software Engineering

The results of this study show that the Ball ecosystem has the potential to improve the productivity of software development, however, it should produce smaller and more reasonable software systems, leading to a better reusability and a shorter learning phase for new developers.

Michael Gurschler, Henry Edison, Kalle Launiala et al. · 1 citation
#computer vision Book Aug 2015

Hunter-gatherer cycle: a conceptual model of the evolution of software startups

The results show that the proposed conceptual model can capture innovation generation activities and the non-linear evolution of engineering activities in software startups, which is not presentable in current software life cycle models.

Anh Nguyen-Duc, P. Seppänen, P. Abrahamsson · 53 citations
#computer vision May 2016

Bringing the Cloud to Rural and Remote Areas - Cloudlet by Cloudlet

This work proposes a hardware platform based on small single-board computers that is extendable and scalable as well as easy to deploy, relying on an open design and illustrates how to build such a system without incurring high costs, high power consumption, or single points of failure.

P. Abrahamsson, S. Helmer, Tosin Daniel Oyetoyan et al. · 2 citations

From tech blogs

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MIT News · Artificial Intelligence Oct 23, 2026

Q&A: How AI came to model the “messy” human mind

Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.

Microsoft Research Blog Oct 22, 2026

Flint-interactive: A language for creating interactive data visualizations

Flint-interactive gives AI agents a language for creating interactive visualizations. Click a chart, filter data, highlight related content, and explore beyond the view the author originally chose. The post Flint-interactive: A language for creating interactive data visualizations appeared first on Microsoft Research.

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