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human-computer interaction

1,707 papers

#computer vision Dec 2012

Strengths and barriers behind the successful agile deployment—insights from the three software intensive companies in Finland

By identifying the barriers and strengths of agile deployment, the paper deepens understanding of this highly relevant but relatively under-researched phenomenon and contributes to the literature on agile deployment and software process improvement.

M. Pikkarainen, O. Salo, Raija Kuusela et al. · 97 citations · ⚡6
#computer vision Jun 2013

Definitions of Agile Software Development and Agility

The Agile Manifesto and Agile Principles are typically referred to as the definitions of "agile" and "agility", but many other definitions exist in the literature that provide interesting source for research.

M. Laanti, Jouni Similä, P. Abrahamsson · 53 citations · ⚡7
#computer vision Jun 2013

Exploring How Feature Usage Relates to Customer Perceived Value: A Case Study in a Startup Company

This paper investigates how usage of features relate to their perceived value and shed light into the factors affecting this relationship and shows that feature usage metric has a significant potential to estimate value of features.

Sarunas Marciuska, Çigdem Gencel, P. Abrahamsson · 15 citations
#computer vision Jun 2013

Towards a Conceptual Framework for Assessing the Benefits of Cloud Computing

A conceptual framework of cloud computing benefits is proposed, based on various benefit taxonomies presented in the Information System literature, and accounts for the different business areas and organizational levels where each of the benefits manifests.

Nattakarn Phaphoom, Xiaofeng Wang, P. Abrahamsson · 7 citations
#computer vision Jun 2013

Feature Usage Diagram for Feature Reduction

A modelling notation, so called Feature Usage Diagram, and an approach to identify and visualize the required information for decision makers when reducing features, which has potential to support developers when making decisions for feature reduction.

Sarunas Marciuska, Çigdem Gencel, Xiaofeng Wang et al. · 5 citations
#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 Sep 2013

Measuring the Success of Software Process Improvement: The Dimensions

Early results indicate that change agents valued the process user satisfaction the most and the process improvement fit the least, confirming the need of having various stakeholders and dimensions acknowledged in a framework that is used to measure the overall success of an SPI initiative.

P. Abrahamsson · 12 citations · ⚡1
#computer vision Conference Oct 2014

Software Product Size Measurement Methods: A Systematic Mapping Study

This study presents the results of a systematic mapping study on software size estimation metrics and methods. The methods are investigated based on the entity type(s) measured by the method, size attribute type, size measure(s), and theoretical/empirical validation status of the method, and restriction with respect to...

Sohaib Shahid Bajwa, Çigdem Gencel, P. Abrahamsson · 10 citations

From tech blogs

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MIT News · Artificial Intelligence Oct 7, 2026

Discovering the value of humanistic inquiry

Students in MIT’s Concourse program delve deeply into the human condition, debate challenging questions, and learn to develop judgment about issues that can’t be quantified.

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.

MIT News · Artificial Intelligence Sep 30, 2026

This game-playing AI is the new champ at Stratego

Able to defeat top-ranked human players and more efficient than other models, the new system could help decision-makers in military maneuvers or business negotiations.

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