scholarly journals How do Brazilian Software Engineering Researchers Perceive and Practice Open Science?

2021 ◽  
Author(s):  
Edson OliveiraJr ◽  
Christina von Flach G. Chavez ◽  
André F. R. Cordeiro ◽  
Daniela Feitosa
Keyword(s):  
Software Engineering ◽  
Scientific Research ◽  
Open Science ◽  
Empirical Software Engineering ◽  
Engineering Community ◽  
Research Areas ◽  
Engineering Journal ◽  
Science Initiative ◽  
Science Policies

With the wide popularization and increasing adoption of Open Science, most scientific research areas have discussed its benefits to the overall society represented by any citizen. The openness process aims at promoting free availability of such researches, thus directly impacting scientific evolution. Researchers are encouraged to make scientific research artifacts open for every citizen. In the Software Engineering area we are currently experiencing international Open Science initiatives, such as the ICSE Rose Festival, the ESEM Open Science policies, and the Empirical Software Engineering journal Open Science initiative. However, a little is known about Open Science in the Brazilian Software Engineering community. Therefore, in this paper, we present and discuss the results of a survey on how do our software engineering community perceive and practice Open Science.

scholarly journals The open science initiative of the Empirical Software Engineering journal

2019 ◽  
Vol 24 (3) ◽  
pp. 1057-1060 ◽  
Author(s):  
Daniel Méndez Fernández ◽  
Martin Monperrus ◽  
Robert Feldt ◽  
Thomas Zimmermann
Keyword(s):  
Software Engineering ◽  
Open Science ◽  
Empirical Software Engineering ◽  
Engineering Journal ◽  
Science Initiative

scholarly journals Leveraging Containers for Reproducible Psychological Research

2021 ◽  
Author(s):  
Kristina Wiebels ◽  
David Moreau
Keyword(s):  
Software Engineering ◽  
Operating Systems ◽  
Large Scale ◽  
Scientific Research ◽  
Psychological Research ◽  
Open Science ◽  
Research Project ◽  
Worked Example ◽  
Crucial Component ◽  
Set Up

Containers have become increasingly popular in computing and software engineering, and are gaining traction in scientific research. They allow packaging up all code and dependencies to ensure that analyses run reliably across a range of operating systems and software versions. Despite being a crucial component for reproducible science, containerization has yet to become mainstream in psychology. In this tutorial, we describe the logic behind containers, what they are, and the practical problems they can solve. We walk the reader through the implementation of containerization within a research workflow, with examples using Docker and R. Specifically, we describe how to use existing containers, build personalized containers, and share containers alongside publications. We provide a worked example that includes all steps required to set up a container for a research project and can easily be adapted and extended. We conclude with a discussion of the possibilities afforded by the large-scale adoption of containerization, especially in the context of cumulative, open science, toward a more efficient and inclusive research ecosystem.

scholarly journals Leveraging Containers for Reproducible Psychological Research

2021 ◽  
Vol 4 (2) ◽  
pp. 251524592110178
Author(s):  
Kristina Wiebels ◽  
David Moreau
Keyword(s):  
Software Engineering ◽  
Operating Systems ◽  
Large Scale ◽  
Scientific Research ◽  
Psychological Research ◽  
Open Science ◽  
Research Project ◽  
Worked Example ◽  
Crucial Component ◽  
Set Up

Containers have become increasingly popular in computing and software engineering and are gaining traction in scientific research. They allow packaging up all code and dependencies to ensure that analyses run reliably across a range of operating systems and software versions. Despite being a crucial component for reproducible science, containerization has yet to become mainstream in psychology. In this tutorial, we describe the logic behind containers, what they are, and the practical problems they can solve. We walk the reader through the implementation of containerization within a research workflow with examples using Docker and R. Specifically, we describe how to use existing containers, build personalized containers, and share containers alongside publications. We provide a worked example that includes all steps required to set up a container for a research project and can easily be adapted and extended. We conclude with a discussion of the possibilities afforded by the large-scale adoption of containerization, especially in the context of cumulative, open science, toward a more efficient and inclusive research ecosystem.

The role of replications in Empirical Software Engineering

2008 ◽  
Vol 13 (2) ◽  
pp. 211-218 ◽  
Author(s):  
Forrest J. Shull ◽  
Jeffrey C. Carver ◽  
Sira Vegas ◽  
Natalia Juristo
Keyword(s):  
Software Engineering ◽  
Empirical Software Engineering

scholarly journals A landscape of open science policies research

2021 ◽  
Author(s):  
Alejandra Manco
Keyword(s):  
Open Access ◽  
Science Policy ◽  
Open Data ◽  
Open Science ◽  
General Science ◽  
Policy Framing ◽  
Spanish Speaking ◽  
English Speaking ◽  
Main Component ◽  
Science Policies

<p>Open science policies are a much-discussed issue. This literature review aims to examine the approach given to open science policy in these studies. <b></b></p> The approach given to open science in the selected works has different aspects: policy framing and its geopolitical aspects are described as an asymmetries replication and epistemic governance tool. The main geopolitical aspects of open science policies described in the literature are the relations between international, regional and national policies. There are also different components of open science covered in the literature: open data seems much discussed in the English speaking works while open access is the main component discussed in the Portuguese and Spanish speaking papers. Finally, the relation between open science policies and the general science policy is framed by highlighting the innovation and transparency that open science can bring to it.

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