scholarly journals Evolutionary Software Requirements Factors and their Effect on Open Source Project Attractiveness

2017 ◽  
Author(s):  
Radu Vlas ◽  
William Robinson ◽  
Cristina Vlas
Keyword(s):  
Open Source ◽  
Software Requirements ◽  
Open Source Project

The non-psychopath's guide to managing an open source project

2021 ◽  
Vol 64 (4) ◽  
pp. 25-27
Author(s):  
George V. Neville-Neil
Keyword(s):  
Open Source ◽  
Open Source Project

Respect your staff, learn from others, and know when to let go.

scholarly journals From Frequency to Meaning: Vector Space Models of Semantics

2010 ◽  
Vol 37 ◽  
pp. 141-188 ◽  
Author(s):  
P. D. Turney ◽  
P. Pantel
Keyword(s):  
Vector Space ◽  
Open Source ◽  
Semantic Processing ◽  
Human Language ◽  
Open Source Project ◽  
Word Context ◽  
The Matrix ◽  
Vector Space Models ◽  
New Perspective

Computers understand very little of the meaning of human language. This profoundly limits our ability to give instructions to computers, the ability of computers to explain their actions to us, and the ability of computers to analyse and process text. Vector space models (VSMs) of semantics are beginning to address these limits. This paper surveys the use of VSMs for semantic processing of text. We organize the literature on VSMs according to the structure of the matrix in a VSM. There are currently three broad classes of VSMs, based on term-document, word-context, and pair-pattern matrices, yielding three classes of applications. We survey a broad range of applications in these three categories and we take a detailed look at a specific open source project in each category. Our goal in this survey is to show the breadth of applications of VSMs for semantics, to provide a new perspective on VSMs for those who are already familiar with the area, and to provide pointers into the literature for those who are less familiar with the field.

scholarly journals Jupyter: Thinking and Storytelling with Code and Data

2021 ◽  
Author(s):  
Brian Granger ◽  
Fernando Pérez
Keyword(s):  
Machine Learning ◽  
Open Source ◽  
Community Of Practice ◽  
Scientific Computing ◽  
Data Science ◽  
Climate Science ◽  
Three Dimensions ◽  
Open Source Project ◽  
Interactive Computing ◽  
The Impact

Project Jupyter is an open-source project for interactive computing widely used in data science, machine learning, and scientific computing. We argue that even though Jupyter helps users perform complex, technical work, Jupyter itself solves problems that are fundamentally human in nature. Namely, Jupyter helps humans to think and tell stories with code and data. We illustrate this by describing three dimensions of Jupyter: interactive computing, computational narratives, and  the idea that Jupyter is more than software. We illustrate the impact of these dimensions on a community of practice in Earth and climate science.

The Effects of Diversity in Global, Distributed Collectives: A Study of Open Source Project Success

2013 ◽  
Vol 24 (2) ◽  
pp. 312-333 ◽  
Author(s):  
Sherae Daniel ◽  
Ritu Agarwal ◽  
Katherine J. Stewart
Keyword(s):  
Open Source ◽  
Project Success ◽  
Open Source Project

scholarly journals Android y Smartphones: una computadora de bolsillo

2017 ◽  
Vol 7 (11) ◽  
Author(s):  
Elmer Miroslav Mosher Golovin.
Keyword(s):  
Open Source ◽  
Open Source Project ◽  
El Sistema

Este ensayo describe las oportunidades y posibilidades que ofrecen al usuario los Smartphones y el Sistema Operativo (SO) Android. Se explica el concepto de Android y Android Open Source Project (AOSP), además de los dispositivos que soportan Android y las aplicaciones Google experience. También, los conceptos del PC portátil y el Smartphone, comparando sus propósitos y funciones principales. Se relata sobre cómo Ubuntu puede ser utilizado en Android. De igual forma se narra sobre las aplicaciones nativas de Android y su potencial. También se aborda sobre las modificaciones para Android y lo que ofrecen y se explica de manera breve como sacarle partido al dispositivo Android. Para realizar este trabajo se hizo la revisión de bibliografía actualizada y se realizaron pruebas prácticas tanto con los Smartphones y el SO Android, como con las computadoras portátiles para cerciorarse de la veracidad de la información teórica encontrada, poniéndola en práctica. Se concluye que la combinación de estos dos, Smartphones y Android, genera un dispositivo móvil, versátil y de fácil uso, lo que permite llevar el trabajo y entretenimiento a todas partes, y lo más importante, sin perder lo que se puede hacer en un sistema estacionario. Así, el PC portátil es rediseñado a un tamaño micro, y con características técnicas muy buenas, logrando un auténtico “PC de bolsillo”.

LeMill

2011 ◽  
pp. 147-167
Author(s):  
Tarmo Toikkanen ◽  
Jukka Purma ◽  
Teemu Leinonen
Keyword(s):  
Teacher Training ◽  
Open Source ◽  
Design Methods ◽  
Learning Object ◽  
Behavioral Patterns ◽  
Design Work ◽  
Iterative Design ◽  
Open Source Project ◽  
New Findings ◽  
Learning Object Repositories

LeMill is an open source OER repository where the emphasis has been placed on designing a service to meet the actual needs of teachers preparing for classes. The development of LeMill has utilized open, collaborative, and iterative design methods and many features have been refined or redesigned during the process. Emphasis on design work has helped LeMill avoid and fix problems that generally pester OER repositories because of their origins as learning object repositories. The authors recognize that LeMill, as an open source project, has had the rare benefit of a long, structured dissemination phase incorporating actual teacher training. Even when developers and designers try to keep teachers in mind, actual behavioral patterns and needs appear only after the service has been in use. Therefore systems should initially be flexible enough to allow changes resulting from new findings.

MapReduce and Hadoop

2011 ◽  
pp. 197-215 ◽  
Author(s):  
Luis Rodero-Merino ◽  
Gilles Fedak
Keyword(s):  
Open Source ◽  
Distributed Computation ◽  
Massive Data ◽  
Open Source Project

This chapter introduces the MapReduce solution for distributed computation. It explains the fundamentals of MapReduce and describes in which scenarios it can be applied (basically, processing of massive data by easily parallelizable algorithms). Also, this chapter gives an overview of the open source project Hadoop, an implementation of MapReduce. Its architecture is depicted, and an easy step-by-step guide to install Hadoop is included, along with programming examples of how to use Hadoop.

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