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2,491 papers

#computer vision Jun 2011

Software product roadmapping in a volatile business environment

A framework is developed for software product roadmapping and results revealed that organizations view the product roadmap mainly as a tool for strategic decision making as it aims at showing the future directions of the company's products.

T. Suomalainen, O. Salo, P. Abrahamsson et al. · 30 citations · ⚡3
#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 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 process-product relationships.

P. Abrahamsson, Jürgen Münch, P. Kuvaja · 4 citations
#computer vision Open access Aug 2013

Traverse the landscape of the mind by walking: an exploration of a new brainstorming practice

Three preliminary findings are obtained: walking can lead to an effective idea generation session; brainstorming while walking can encourage team members to participate in and contribute to the session in an equal manner; and it can help a team to maintain sustainable mental energy.

Xiaofeng Wang, D. Graziotin, Juha Rikkilä et al. · 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 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
#computer vision Open access Jul 2015

In Need of Creative Mobile Service Ideas? Forget Adults and Ask Young Children

This study shows that young children are better sources of novel and quality ideas than adults in the mobile services domain and indicates a new and valuable source for the companies that seek creative ideas for innovative products and services.

Ilona Kuzmickaja, Xiaofeng Wang, D. Graziotin et al. · 16 citations
#machine learning Open access Sep 2015

A Simultaneous, Multidisciplinary Development and Design Journey - Reflections on Prototyping

A wayfaring approach for the early concept creation stage of development projects that have a very high degree of intended innovation and thus uncertainty and the importance of including all the involved disciplines (knowledge domains) from the beginning of the project on.

Achim Gerstenberg, Heikki Sjöman, Thov Reime et al. · 36 citations · ⚡4

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MIT News · Artificial Intelligence Aug 27, 2026

Looking beyond natural sequences

A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.

MIT News · Artificial Intelligence Aug 20, 2026

Paving the way for greener ammonia production

New MIT research could lead to better materials for a fossil-fuel-free process for making the chemical that's essential to fertilizer and other products.

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