Integrating Projects from Multiple Open Source Code Forges

2009 ◽  
pp. 2301-2312
Author(s):  
Megan Squire
Keyword(s):  
Software Development ◽  
Open Source ◽  
Relevant Literature ◽  
Source Code ◽  
Scoring Systems ◽  
Open Source Code ◽  
Multiple Code ◽  
Future Work

Much of the data about free, libre, and open source (FLOSS) software development comes from studies of code forges or code repositories used for managing projects. This paper presents a method for integrating data about open source projects by way of matching projects (entities) across multiple code forges. After a review of the relevant literature, a few of the methods are chosen and applied to the FLOSS domain, including a comparison of some simple scoring systems for pairwise project matches. Finally, the paper describes limitations of this approach and recommendations for future work.

Integrating Projects from Multiple Open Source Code Forges

2011 ◽  
pp. 43-53
Author(s):  
Megan Squire
Keyword(s):  
Software Development ◽  
Open Source ◽  
Relevant Literature ◽  
Source Code ◽  
Scoring Systems ◽  
Open Source Code ◽  
Multiple Code ◽  
Future Work

Much of the data about free, libre, and open source (FLOSS) software development comes from studies of code forges or code repositories used for managing projects. This paper presents a method for integrating data about open source projects by way of matching projects (entities) across multiple code forges. After a review of the relevant literature, a few of the methods are chosen and applied to the FLOSS domain, including a comparison of some simple scoring systems for pairwise project matches. Finally, the paper describes limitations of this approach and recommendations for future work.

scholarly journals How to Avoid Mistakes in Software Development for Unmanned Vehicles

2019 ◽  
Vol 8 (2) ◽  
pp. 205-212
Author(s):  
Cezary Szczepański ◽  
Marcin Ciopcia
Keyword(s):  
Software Development ◽  
Open Source ◽  
Source Code ◽  
Unmanned Vehicles ◽  
Design And Development ◽  
Good Practices ◽  
Open Source Code ◽  
Software Failure ◽  
Development Methodology

The purpose of this paper is to propose design and development methodology, in terms of robustness, of unmanned vehicles (UV) software development, which minimizes the risk of software failure in both experimental and final solutions. The most common dangers in UV software development were determined, classified and analysed, on the basis of literature studies, and the author's own experience in software development and in analysis of open-source code. As a conclusion, “good practices” and failure countermeasures were proposed.

AN OPEN-SOURCE CODE FOR NUMERICAL SIMULATION OF DRAINAGE BASIN DEVELOPMENT

2017 ◽  
Author(s):  
George H. Shaw ◽  
◽  
Howard D. Mooers ◽  
Josef Smrz ◽  
Zdenek Papez ◽  
...  
Keyword(s):  
Numerical Simulation ◽  
Open Source ◽  
Drainage Basin ◽  
Source Code ◽  
Open Source Code ◽  
Basin Development

Po River Morphodynamics Modelled with the Open-source Code iRIC

2018 ◽  
pp. 335-346 ◽  
Author(s):  
Michael Nones ◽  
Alessio Pugliese ◽  
Alessio Domeneghetti ◽  
Massimo Guerrero
Keyword(s):  
Open Source ◽  
Source Code ◽  
Po River ◽  
Open Source Code

scholarly journals Blogging Beyond the PDF

2010 ◽  
Author(s):  
Martin Fenner
Keyword(s):  
Knowledge Sharing ◽  
Open Source ◽  
Scientific Knowledge ◽  
San Diego ◽  
Source Code ◽  
Open Source Code

Four weeks ago I wrote about the Beyond the PDF workshop that is planned for January in San Diego. The goal of the workshop is to identify a set of requirements, and a group of willing participants to develop open source code to accelerate scientific knowledge sharing. ...

scholarly journals Associating Natural Language Comment and Source Code Entities

2020 ◽  
Vol 34 (05) ◽  
pp. 8592-8599
Author(s):  
Sheena Panthaplackel ◽  
Milos Gligoric ◽  
Raymond J. Mooney ◽  
Junyi Jessy Li
Keyword(s):  
Software Development ◽  
Natural Language ◽  
Open Source ◽  
Source Code ◽  
Initial Step ◽  
Binary Classifier ◽  
Sequence Labeling ◽  
Evaluation Dataset ◽  
Revision Histories

Comments are an integral part of software development; they are natural language descriptions associated with source code elements. Understanding explicit associations can be useful in improving code comprehensibility and maintaining the consistency between code and comments. As an initial step towards this larger goal, we address the task of associating entities in Javadoc comments with elements in Java source code. We propose an approach for automatically extracting supervised data using revision histories of open source projects and present a manually annotated evaluation dataset for this task. We develop a binary classifier and a sequence labeling model by crafting a rich feature set which encompasses various aspects of code, comments, and the relationships between them. Experiments show that our systems outperform several baselines learning from the proposed supervision.

scholarly journals Embedding Metadata and Other Semantics in Word Processing Documents

2009 ◽  
Vol 4 (2) ◽  
pp. 93-106 ◽  
Author(s):  
Peter Sefton ◽  
Ian Barnes ◽  
Ron Ward ◽  
Jim Downing
Keyword(s):  
Semantic Web ◽  
Software Development ◽  
Open Source ◽  
Academic Writing ◽  
Word Processing ◽  
Source Code ◽  
Data Curation ◽  
User Testing ◽  
Microsoft Word ◽  
Computing Platforms

This paper describes a technique for embedding document metadata, and potentially other semantic references inline in word processing documents, which the authors have implemented with the help of a software development team. Several assumptions underly the approach; It must be available across computing platforms and work with both Microsoft Word (because of its user base) and OpenOffice.org (because of its free availability). Further the application needs to be acceptable to and usable by users, so the initial implementation covers only small number of features, which will only be extended after user-testing. Within these constraints the system provides a mechanism for encoding not only simple metadata, but for inferring hierarchical relationships between metadata elements from a ‘flat’ word processing file.The paper includes links to open source code implementing the techniques as part of a broader suite of tools for academic writing. This addresses tools and software, semantic web and data curation, integrating curation into research workflows and will provide a platform for integrating work on ontologies, vocabularies and folksonomies into word processing tools.

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