The Common Optimization INterface for Operations Research: Promoting open-source software in the operations research community

2003 ◽  
Vol 47 (1) ◽  
pp. 57-66 ◽  
Author(s):  
R. Lougee-Heimer
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Operations Research ◽  
Research Community ◽  
The Common

How the FLOSS Research Community Uses Email Archives

2012 ◽  
Vol 4 (1) ◽  
pp. 37-59 ◽  
Author(s):  
Megan Squire
Keyword(s):  
Software Engineering ◽  
Open Source ◽  
Open Source Software ◽  
Development Process ◽  
Relevant Literature ◽  
Research Community ◽  
Email Message ◽  
Object Of Study ◽  
Broad Overview

Artifacts of the software development process, such as source code or emails between developers, are a frequent object of study in empirical software engineering literature. One of the hallmarks of free, libre, and open source software (FLOSS) projects is that the artifacts of the development process are publicly-accessible and therefore easily collected and studied. Thus, there is a long history in the FLOSS research community of using these artifacts to gain understanding about the phenomenon of open source software, which could then be compared to studies of software engineering more generally. This paper looks specifically at how the FLOSS research community has used email artifacts from free and open source projects. It provides a classification of the relevant literature using a publicly-available online repository of papers about FLOSS development using email. The outcome of this paper is to provide a broad overview for the software engineering and FLOSS research communities of how other researchers have used FLOSS email message artifacts in their work.

Beyond Development

2009 ◽  
pp. 1822-1834
Author(s):  
Leigh Jin ◽  
Daniel Robey ◽  
Marie-Claude Boudreau
Keyword(s):  
Information Systems ◽  
Software Development ◽  
Open Source ◽  
Open Source Software ◽  
Research Community ◽  
Open Source Software Development ◽  
Systems Research ◽  
Information Systems Research ◽  
User Communities ◽  
Research Questions

Open source software has rapidly become a popular area of study within the information systems research community. Most of the research conducted so far has focused on the phenomenon of open source software development, rather than use. We argue for the importance of studying open source software use and propose a framework to guide research in this area. The framework describes four main areas of investigation: the creation of OSS user communities, their characteristics, their contributions and how they change. For each area of the framework, we suggest several research questions that deserve attention.

scholarly journals The case for free and open source software in research and scholarship

2021 ◽  
Vol 379 (2197) ◽  
Author(s):  
Laura Fortunato ◽  
Mark Galassi
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Research Process ◽  
Open Science ◽  
Support Staff ◽  
Research Quality ◽  
Open Research ◽  
The Common

Free and open source software (FOSS) is any computer program released under a licence that grants users rights to run the program for any purpose, to study it, to modify it, and to redistribute it in original or modified form. Our aim is to explore the intersection between FOSS and computational reproducibility. We begin by situating FOSS in relation to other ‘open’ initiatives, and specifically open science, open research, and open scholarship. In this context, we argue that anyone who actively contributes to the research process today is a computational researcher, in that they use computers to manage and store information. We then provide a primer to FOSS suitable for anyone concerned with research quality and sustainability—including researchers in any field, as well as support staff, administrators, publishers, funders, and so on. Next, we illustrate how the notions introduced in the primer apply to resources for scientific computing, with reference to the GNU Scientific Library as a case study. We conclude by discussing why the common interpretation of ‘open source’ as ‘open code’ is misplaced, and we use this example to articulate the role of FOSS in research and scholarship today. This article is part of the theme issue ‘Reliability and reproducibility in computational science: implementing verification, validation and uncertainty quantification in silico ’.

scholarly journals Deployment of NS-3 with Eclipse IDE

2018 ◽  
Author(s):  
José Vega-Sánchez ◽  
Lesly Maygua-Marcillo ◽  
Luis Urquiza-Aguiar ◽  
Pablo Barbecho-Bautista
Keyword(s):  
Communication Network ◽  
Open Source ◽  
Programming Language ◽  
Open Source Software ◽  
Research Community ◽  
Development Environment ◽  
Integrated Development ◽  
Open Environment ◽  
Software Packages ◽  
Network Simulators

Network Simulators is typically used to study services and applications in complex scenarios due to the infeasibility of deploying real testbeds. Many problems can be solved by using network simulators such as NS-3. With this in mind, the aim of this article is to introduce new NS-3 users through detailed information. It is sometimes difficult to handle by new users the traditional manuals developed by NS-3 project official website. In this article, NS-3 for communication network and Eclipse Integrated Development Environment (IDE) for powerful programming language are integrated step-by-step, explaining the main features of these open source software packages and concluding with an example simulation. Our effort is to make it easy for a beginner to be part of the NS-3 research community and to maintain an open environment of knowledge.

scholarly journals The 2017 Bioinformatics Open Source Conference (BOSC)

F1000Research ◽  
2017 ◽  
Vol 6 ◽  
pp. 1858
Author(s):  
Nomi L. Harris ◽  
Peter J.A. Cock ◽  
Brad Chapman ◽  
Christopher J. Fields ◽  
Karsten Hokamp ◽  
...  
Keyword(s):  
Software Development ◽  
Open Source ◽  
Open Source Software ◽  
Open Data ◽  
Open Science ◽  
Research Community ◽  
Biological Research ◽  
Non Profit ◽  
Bioinformatics Software ◽  
Bioinformatics Community

The Bioinformatics Open Source Conference (BOSC) is a meeting organized by the Open Bioinformatics Foundation (OBF), a non-profit group dedicated to promoting the practice and philosophy of Open Source software development and Open Science within the biological research community. The 18th annual BOSC (http://www.open-bio.org/wiki/BOSC_2017) took place in Prague, Czech Republic in July 2017. The conference brought together nearly 250 bioinformatics researchers, developers and users of open source software to interact and share ideas about standards, bioinformatics software development, open and reproducible science, and this year’s theme, open data. As in previous years, the conference was preceded by a two-day collaborative coding event open to the bioinformatics community, called the OBF Codefest.

scholarly journals Machine Learning im Bildungskontext: Evidenz für die Genauigkeit der automatisierten Beurteilung von Essays im Fach Englisch

2020 ◽  
pp. 1-12
Author(s):  
Jennifer Meyer ◽  
Thorben Jansen ◽  
Johanna Fleckenstein ◽  
Stefan Keller ◽  
Olaf Köller
Keyword(s):  
Machine Learning ◽  
Open Source ◽  
Open Source Software ◽  
Text Analysis ◽  
Gradient Boosting ◽  
Testing Service ◽  
The Common ◽  
Educational Testing Service ◽  
Lineare Regression ◽  
Analysis Platform

Zusammenfassung. Argumentatives Schreiben ist eine bedeutsame Kompetenz in der Fremdsprache Englisch. Entsprechende Schreibaufgaben sind Teil von Schulabschlussprüfungen in der Sekundarstufe II und von Zugangstests für Hochschulen (z.B. TOEFL®). Trotz ihrer Bedeutsamkeit wurden diese komplexen Schreibleistungen bisher im Kontext großer Schulleistungsuntersuchungen kaum empirisch untersucht. Ein Grund dafür ist die aufwendige Auswertung der Essays, für die eine große Anzahl speziell trainierter Kodiererinnen und Kodierer zur Beurteilung benötigt wird. Um den Aufwand der Auswertung zu reduzieren, können Machine Learning Verfahren eingesetzt werden, welche die Urteile der Kodiererinnen und Kodierer approximieren. Dabei werden linguistische Eigenschaften der Essays automatisiert erfasst, die dann genutzt werden, um mit Hilfe von statistischen Verfahren des maschinellen Lernens die menschlichen Urteile vorherzusagen. In der vorliegenden Arbeit soll dieses Vorgehen dargestellt und das Potenzial solcher automatisierten Prozeduren in Bezug auf die Vorhersagegenauigkeit untersucht werden. Dazu lagen Texte von N = 2179 Schülerinnen und Schülern der 11. Jahrgangsstufe in Deutschland und der Schweiz vor. Zur Kodierung der Texte wurde die open source-Software The Common Text Analysis Platform (CTAP) eingesetzt, die linguistische Textmerkmale automatisch kodiert. Auf Basis dieser Textmerkmale wurden die vorliegenden Urteile von trainierten Kodiererinnen und Kodierern des Educational Testing Service (ETS) vorhersagt. Die Genauigkeit der Vorhersage erwies sich als zufriedenstellend ( r = .75; Anteil genauer Übereinstimmung: 42%) und konnte im Vergleich mit einer etablierten kommerziellen Software des ETS (e-rater®; r = .81; Anteil genauer Übereinstimmung: 42%) bestehen. Es wurden vergleichbare Ergebnisse für die lineare Regression sowie Gradient Boosting als Analysestrategien zur Vorhersage der menschlichen Urteile gefunden. Möglichkeiten und Limitationen der automatisierten Textbeurteilung und deren Anwendung in Forschung und Praxis werden diskutiert.

scholarly journals The case for free and open source software in research and scholarship

2020 ◽  
Author(s):  
Laura Fortunato ◽  
Mark Galassi
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Research Process ◽  
Open Science ◽  
Academic Community ◽  
Original Form ◽  
Academic Settings ◽  
The Common ◽  
Quality Of Research

Free and open source software (FOSS) is any computer program distributed under a licence that grants the user rights to run the program for any purpose, to study it, to modify it, and to redistribute it either in its original form or modified.We explore the close ties between FOSS and academia, and in particular the intersection with computational reproducibility. We begin by situating FOSS in relation to other open initiatives in academic settings — namely open science, open research, and open scholarship. In this context, we argue that anyone who actively contributes to the research process today is a computational researcher, in that they use computers to manage and store information. We then provide a primer to FOSS suitable for researchers in any field, and anyone in the academic community concerned with the quality of research and its sustainability. Next, we illustrate how the notions introduced in the primer apply to resources for scientific computing, using the GNU Scientific Library as a case study.We conclude by discussing why the common interpretation of “open source” as “open code” is misplaced, and we use this example to further articulate the case for free and open source software in research and scholarship.

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