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edge computing

2,752 papers

#computer vision Open access Jan 2017

Consequences of Unhappiness while Developing Software

Using qualitative data analysis of the responses given by 181 questionnaire participants, a classification scheme is identified of 49 consequences of unhappiness while doing software development that have detrimental consequences on developers' mental well-being, the software development process, and the produced artif...

D. Graziotin, Fabian Fagerholm, Xiaofeng Wang et al. · 60 citations · ⚡3
#computer vision Open access Jul 2017

What happens when software developers are (un)happy

Consequences of happiness and unhappiness that are beneficial and detrimental for developers' mental well-being, the software development process, and the produced artifacts are found.

D. Graziotin, Fabian Fagerholm, Xiaofeng Wang et al. · 236 citations · ⚡13
#computer vision Conference Open access Jan 2017

Unhappy Developers: Bad for Themselves, Bad for Process, and Bad for Software Product

The first results from a study exploring the consequences of the unhappy developers are presented, and it is predicted that the classification scheme identified will spawn new happiness studies linking causes and effects and can act as a guideline for developers and managers to foster happiness at work.

D. Graziotin, Fabian Fagerholm, Xiaofeng Wang et al. · 50 citations · ⚡3
#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

From tech blogs

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MIT News · Artificial Intelligence Oct 15, 2026

AI model decodes the language cells use to communicate

A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.

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.

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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