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human-computer interaction

2,089 papers

#computer vision Open access Sep 2017

Achieving CMMI Level 2 with Enhanced Extreme Programming Approach

This study demonstrates that it is possible to use the CMMI for assessing and improving agile processes, however, the analysis reveals that assessing an agile organization requires more interpretations than normally would be the case.

Tuomo Kähkönen, P. Abrahamsson · 44 citations · ⚡4
#computer vision Book Open access Dec 2017

Innovation initiatives in large software companies: a systematic mapping study

This extended abstract summarises an article, which has been published in the Information and Software Technology (IST) Journal and was selected for the Journal-First presentations at the International Conference on Software and System Process (ICSSP 2018). Full Article Reference. Henry Edison, Xiaofeng Wang, Ronald Ja...

Henry Edison, Xiaofeng Wang, Ronald Jabangwe et al. · 20 citations · ⚡2
#computer vision Review Open access May 2017

Are Software Startups Applying Agile Practices? The State of the Practice from a Large Survey

The findings show that speed related agile practices are used to a greater extent in comparison to quality practices, and that software startups who adopt the Lean Startup approach do not sacrifice quality for speed more than other startups do.

Jevgenija Pantiuchina, Marco Mondini, Dron Khanna et al. · 84 citations · ⚡4
#computer vision Conference Open access Sep 2017

Female Leadership in Software Projects: A Preliminary Result on Leadership Style and Project Context Factors

A strong correlation between perceived team leadership and task management and a potential association between human-oriented leading approach in low customer involvement scenarios and task-orientedLeading approach in high customer involvement situations are observed.

Anh Nguyen-Duc, Soudabeh Khodambashi, J. Gulla et al. · 10 citations
#machine learning Open access May 2017

What Influences the Speed of Prototyping? An Empirical Investigation of Twenty Software Startups

This study conducts a multiple case study on twenty European software startups and proposes a prototype-centric learning model in early stage software startups, and identifies factors that occur as barriers but also facilitators for prototyping in earlystage software startups.

Anh Nguyen-Duc, Xiaofeng Wang, P. Abrahamsson · 44 citations · ⚡5
#computer vision Open access Jun 2017

Coopetition of Software Firms in Open Source Software Ecosystems

This study explores how software firms interact with others in OSS ecosystems from a coopetition perspective, and finds that software firms emphasize the co-creation of common value and partly react to the potential competitiveness on O SS ecosystems.

Anh Nguyen-Duc, D. Cruzes, G. Hanssen et al. · 17 citations · ⚡2
#computer vision Open access 2018

Combining Social Service and Healthcare as the First Country in the World : Exploring the Impacts on Information Systems

The enterprise architecture is applied for the largest county comprising of over 1900 social service and healthcare related information systems and the target is to design one joint system with maximum of 300 supporting information systems resulting in 3 B EUR savings.

H. Vilpponen, M. Grundström, P. Abrahamsson · 3 citations
#computer vision Open access Feb 2018

Lean Internal Startups for Software Product Innovation in Large Companies: Enablers and Inhibitors

This study investigates how Lean internal startup facilitates software product innovation in large companies and identifies its enablers and inhibitors, and shows the potential of the method-in-action framework to investigate the Lean startup approach in non-startup context.

Henry Edison, Nina M. Smørsgård, Xiaofeng Wang et al. · 78 citations · ⚡6
#artificial intelligence Conference Open access Jun 2018

The Key Concepts of Ethics of Artificial Intelligence

It is suggested that the focus on finding keywords is the first step in guiding and providing direction for future research in the AI ethics field.

Ville Vakkuri, P. Abrahamsson · 39 citations · ⚡2
#computer vision Book Open access Aug 2019

Software startup education: gamifying growth hacking

This work presents two board games intended to serve as an engaging introduction to growth hacking for students and helps spark interest in growth hacking among the academia.

Kai-Kristian Kemell, P. Feshchenko, Joonas Himmanen et al. · 9 citations · ⚡1
#computer vision Review Open access Mar 2019

Agile Software Development Methods: A Comparative Review1

The results show that agile software development methods cover, without offering any rationale, different phases of the software development life-cycle and that most of these methods fail to provide adequate project management support.

P. Abrahamsson, Nilay V. Oza, M. Siponen · 62 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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