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Author

Pekka Abrahamsson

294 papers indexed here

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#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
#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
#computer vision Review May 2015

Key Challenges in Early-Stage Software Startups

The initial findings reveal that thriving in technology uncertainty and acquiring the first paying customer are among the top challenges, perceived and experienced by early-stage software startups.

Carmine Giardino, Sohaib Shahid Bajwa, Xiaofeng Wang et al. · 144 citations · ⚡15
#computer vision Book May 2015

Lean startup: why large software companies should care

This paper investigates why large companies should adopt Lean startup to seek for radical innovation and identifies the characteristics of internal startups and the lessons learned on practising Lean Startup inside the large software company.

Henry Edison, Xiaofeng Wang, P. Abrahamsson · 35 citations · ⚡4

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