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2,491 papers

What leads developers towards the choice of a JavaScript framework?

A model of factors that are desirable to be found in a JSF and a representation of the decision makers involved in the frameworks selection is offered, which contributes to the body of knowledge related to the decision-making process when selecting aJSF.

Amantia Pano, D. Graziotin, P. Abrahamsson · 7 citations · ⚡1
#computer vision Review Sep 2017

Agile Software Development Methods: Review and Analysis

This publication proposes a definition and a classification of agile software development approaches and analyses ten software development methods that can be characterized as being "agile" against the defined criterion.

P. Abrahamsson, O. Salo, Jussi Ronkainen et al. · 727 citations · ⚡54
#computer vision Book Open access Jul 2015

Understanding the affect of developers: theoretical background and guidelines for psychoempirical software engineering

This paper highlights the challenges to conduct proper affect-related studies with psychology, provides a comprehensive literature review in affect theory, and proposes guidelines for conducting psychoempirical software engineering.

D. Graziotin, Xiaofeng Wang, P. Abrahamsson · 56 citations · ⚡4
#computer vision Open access May 2015

How do you feel, developer? An explanatory theory of the impact of affects on programming performance

This paper conducts a qualitative interpretive study based on face-to-face open-ended interviews, in-field observations, and e-mail exchanges to construct a novel explanatory theory of the impact of affects on development performance.

D. Graziotin, Xiaofeng Wang, P. Abrahamsson · 63 citations · ⚡5
#machine learning Review Open access Oct 2016

“Failures” to be celebrated: an analysis of major pivots of software startups

This study conducts a case survey study based on the secondary data of the major pivots happened in 49 software startups, and demonstrates that customer need pivot is the most common among all pivot types.

Sohaib Shahid Bajwa, Xiaofeng Wang, Anh Nguyen-Duc et al. · 127 citations · ⚡15
#computer vision Open access Jun 2016

How Do Software Startups Pivot? Empirical Results from a Multiple Case Study

The initial findings show that different software startups make different types of pivots related to business and technology during their product development life cycle, which are triggered by various factors including negative customer feedback.

Sohaib Shahid Bajwa, Xiaofeng Wang, A. Duc et al. · 29 citations · ⚡4
#computer vision Open access 2016

Product-Focused Software Process Improvement

This paper reports a study where realism was combined with control over certain context and process factors to identify the most important relationships among process, context and outcome.

P. Abrahamsson, Andreas Jedlitschka, A. Duc et al. · 3 citations
#computer vision Open access Jun 2017

Towards Understanding Startup Product Development as Effectual Entrepreneurial Behaviors

The behaviour theory of entrepreneurial firms is applied to understand the root-cause of some software startup challenges and implies that effectual entrepreneurial processes might require a more suitable product development approach than the current state-of-practice.

A. Duc, Yngve Dahle, M. Steinert et al. · 16 citations
#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 artifacts.

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

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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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