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D. Graziotin

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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 May 2016

Rationale leading to the adoption of a JavaScript framework

A model of desirable JSF factors is offered that contributes to the body of knowledge related to the decision-making process when selecting a JSF and is useful for Web and JSF developers.

Amantia Pano, D. Graziotin, P. Abrahamsson · 7 citations · ⚡1
#computer vision May 2016

Factors and actors leading to the adoption of a JavaScript framework

A model of desirable JavaScript framework adoption factors is offered that contributes to the body of knowledge related to the adoption of technology by software engineers and is useful for decision makers when evaluating JavaScript frameworks, as well as for developers for producing desirable frameworks.

Amantia Pano, D. Graziotin, P. Abrahamsson · 35 citations · ⚡1
#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

The Affect of Software Developers: Common Misconceptions and Measurements

Common misconceptions of affects when dealing with job satisfaction, motivation, commitment, well-being, and happiness are provided; validated measurement instruments for affect measurement; and recommendations when measuring the affects of software developers are provided.

D. Graziotin, Xiaofeng Wang, P. Abrahamsson · 29 citations · ⚡3
#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
#computer vision Book Open access Mar 2017

On the Unhappiness of Software Developers

The results indicate that software developers are a slightly happy population, but the need for limiting the unhappiness of developers remains, and 219 factors representing causes of unhappiness while developing software are identified.

D. Graziotin, Fabian Fagerholm, Xiaofeng Wang et al. · 84 citations · ⚡6
#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

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