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human-computer interaction

2,089 papers

#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
#computer vision Conference Open access Dec 2013

Affordable and Energy-Efficient Cloud Computing Clusters: The Bolzano Raspberry Pi Cloud Cluster Experiment

The ongoing work building a Raspberry Pi cluster consisting of 300 nodes is presented, with potential use cases being an inexpensive and green test bed for cloud computing research and a robust and mobile data center for operating in adverse environments.

P. Abrahamsson, S. Helmer, Nattakarn Phaphoom et al. · 110 citations · ⚡7
#computer vision Open access Sep 2014

What Do We Know about Software Development in Startups?

In this study, the authors characterize their context and identify common software development startup practices.

Carmine Giardino, M. Unterkalmsteiner, Nicolò Paternoster et al. · 178 citations · ⚡19
#machine learning Review Open access Jun 2014

Why Early-Stage Software Startups Fail: A Behavioral Framework

This state-of-practice investigation was performed using a literature review followed by a multiple-case study approach and presents how inconsistency between managerial strategies and execution can lead to failure by means of a behavioral framework.

Carmine Giardino, Xiaofeng Wang, P. Abrahamsson · 175 citations · ⚡19
#computer vision Open access Mar 2014

Happy software developers solve problems better: psychological measurements in empirical software engineering

A study with 42 participants investigates the relationship between the affective states, creativity, and analytical problem-solving skills of software developers and offers support for the claim that happy developers are indeed better problem solvers in terms of their analytical abilities.

D. Graziotin, Xiaofeng Wang, P. Abrahamsson · 216 citations · ⚡13
#machine learning Review Open access Oct 2014

Software development in startup companies: A systematic mapping study

The results indicate that software engineering work practices are chosen opportunistically, adapted and configured to provide value under the constrains imposed by the startup context.

Nicolò Paternoster, Carmine Giardino, M. Unterkalmsteiner et al. · 394 citations · ⚡54
#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 Open access May 2014

Software Developers, Moods, Emotions, and Performance

It's shown that software developers' happiness pays off when it comes to productivity, and it's also shown that happiness boosts productivity.

D. Graziotin, Xiaofeng Wang, P. Abrahamsson · 84 citations · ⚡5

From tech blogs

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Microsoft Research Blog Nov 5, 2026

Formally verifying agent-written full-stack web apps with PDD Kit

AI agents can generate code at a scale that’s hard for humans to review line-by-line. PDD Kit helps ensure the code is doing what the developer intended by creating formal specifications and testing against them. It converts developer intent into a Verus specification, proves AI-generated code meets it for every input, and uses tests where proofs aren't practical. Developers review intent, not every line. The post Formally verifying agent-written full-stack web apps with PDD Kit appeared first o…

MIT News · Artificial Intelligence Oct 28, 2026

Making machines that can listen

Professor Paris Smaragdis develops computers with superhuman hearing for applications like speech recognition, music understanding, and environmental monitoring.

MIT News · Artificial Intelligence Oct 23, 2026

Reinforcing the value of human understanding at MIT

During the School of Humanities, Arts, and Social Sciences’ 75th Anniversary Symposium, President Sally Kornbluth said “MIT has never needed your particular insight and guidance more than we do now.”

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.

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