Bridging academic open-source EDA to real-world usability

2020 ◽  
Author(s):  
Austin Rovinski ◽  
Tutu Ajayi ◽  
Minsoo Kim ◽  
Guanru Wang ◽  
Mehdi Saligane
Keyword(s):  
Open Source ◽  
Real World

scholarly journals Leveraging Final Degree Projects for Open Source Software Contributions

Electronics ◽  
2021 ◽  
Vol 10 (10) ◽  
pp. 1181
Author(s):  
Juanan Pereira
Keyword(s):  
Graduate Students ◽  
Software Engineering ◽  
Computer Science ◽  
Open Source ◽  
Communication Skills ◽  
Open Source Software ◽  
Real World ◽  
Practical Experience ◽  
Multiple Challenges ◽  
Final Degree

(1) Background: final year students of computer science engineering degrees must carry out a final degree project (FDP) in order to graduate. Students’ contributions to improve open source software (OSS) through FDPs can offer multiple benefits and challenges, both for the students, the instructors and for the project itself. This work reports on a practical experience developed by four students contributing to mature OSS projects during their FDPs, detailing how they addressed the multiple challenges involved, both from the students and teachers perspective. (2) Methods: we followed the work of four students contributing to two established OSS projects for two academic years and analyzed their work on GitHub and their responses to a survey. (3) Results: we obtained a set of specific recommendations for future practitioners and detailed a list of benefits achieved by steering FDP towards OSS contributions, for students, teachers and the OSS projects. (4) Conclusion: we find out that FDPs oriented towards enhancing OSS projects can introduce students into real-world, practical examples of software engineering principles, give them a boost in their confidence about their technical and communication skills and help them build a portfolio of contributions to daily used worldwide open source applications.

scholarly journals A Case Study of Crowdsourcing Imagery Coding in Natural Disasters

2017 ◽  
Author(s):  
Cobi Alison Smith
Keyword(s):  
Natural Disasters ◽  
Open Source ◽  
Real World ◽  
Disaster Response ◽  
Digital Humanities ◽  
Open Data ◽  
Geographic Information ◽  
Response And Recovery ◽  
Disaster Response And Recovery

Crowdsourcing and open licensing allow more people to participate in research and humanitarian activities. Open data, such as geographic information shared through OpenStreetMap and image datasets from disasters, can be useful for disaster response and recovery work. This chapter shares a real-world case study of humanitarian-driven imagery analysis, using open-source crowdsourcing technology. Shared philosophies in open technologies and digital humanities, including remixing and the wisdom of the crowd, are reflected in this case study.

Bridging the Academia-Industry Gap in Software Engineering

2014 ◽  
pp. 373-396 ◽  
Author(s):  
Bonnie K. MacKellar ◽  
Mihaela Sabin ◽  
Allen B. Tucker
Keyword(s):  
Software Engineering ◽  
Computer Science ◽  
Open Source ◽  
Real World ◽  
Software Application ◽  
Development Framework ◽  
Wide Range ◽  
Approach To Teaching ◽  
Development Practice ◽  
Open Source Development

Too often, computer science programs offer a software engineering course that emphasizes concepts, principles, and practical techniques, but fails to engage students in real-world software experiences. The authors have developed an approach to teaching undergraduate software engineering courses that integrates client-oriented project development and open source development practice. They call this approach the Client-Oriented Open Source Software (CO-FOSS) model. The advantages of this approach are that students are involved directly with a client, nonprofits gain a useful software application, and the project is available as open source for other students or organizations to extend and adapt. This chapter describes the motivation, elaborates the approach, and presents the results in substantial detail. The process is agile and the development framework is transferrable to other one-semester software engineering courses in a wide range of institutions.

Applicability of Lehman Laws on Open Source Evolution

2015 ◽  
pp. 199-224
Author(s):  
Nisha Ratti ◽  
Parminder Kaur
Keyword(s):  
Open Source ◽  
Real World ◽  
Software Maintenance ◽  
Software Evolution ◽  
Object Oriented ◽  
User Requirements ◽  
Continuous Change ◽  
Essential Characteristic ◽  
Time Period ◽  
Object Oriented Metrics

Software evolution is the essential characteristic of the real world software as the user requirements changes software needs to change otherwise it becomes less useful. In order to be used for longer time period, software needs to evolve. The software evolution can be a result of software maintenance. In this chapter, a study has been conducted on 10 versions of GLE (Graphics Layout Engine) and FGS (Flight Gear Simulator) evolved over the period of eight years. An effort is made to find the applicability of Lehman Laws on different releases of two softwares developed in C++ using Object Oriented metrics. The laws of continuous change, growth and complexity are found applicable according to data collected.

scholarly journals Implementing a hash-based privacy-preserving record linkage tool in the OneFlorida clinical research network

JAMIA Open ◽  
2019 ◽  
Vol 2 (4) ◽  
pp. 562-569 ◽  
Author(s):  
Jiang Bian ◽  
Alexander Loiacono ◽  
Andrei Sura ◽  
Tonatiuh Mendoza Viramontes ◽  
Gloria Lipori ◽  
...  
Keyword(s):  
Clinical Research ◽  
Open Source ◽  
Real World ◽  
Record Linkage ◽  
Gold Standard ◽  
Privacy Preserving ◽  
Research Network ◽  
Clinical Research Network ◽  
Real World Setting ◽  
Hash Codes

Abstract Objective To implement an open-source tool that performs deterministic privacy-preserving record linkage (RL) in a real-world setting within a large research network. Materials and Methods We learned 2 efficient deterministic linkage rules using publicly available voter registration data. We then validated the 2 rules’ performance with 2 manually curated gold-standard datasets linking electronic health records and claims data from 2 sources. We developed an open-source Python-based tool—OneFL Deduper—that (1) creates seeded hash codes of combinations of patients’ quasi-identifiers using a cryptographic one-way hash function to achieve privacy protection and (2) links and deduplicates patient records using a central broker through matching of hash codes with a high precision and reasonable recall. Results We deployed the OneFl Deduper (https://github.com/ufbmi/onefl-deduper) in the OneFlorida, a state-based clinical research network as part of the national Patient-Centered Clinical Research Network (PCORnet). Using the gold-standard datasets, we achieved a precision of 97.25∼99.7% and a recall of 75.5%. With the tool, we deduplicated ∼3.5 million (out of ∼15 million) records down to 1.7 million unique patients across 6 health care partners and the Florida Medicaid program. We demonstrated the benefits of RL through examining different disease profiles of the linked cohorts. Conclusions Many factors including privacy risk considerations, policies and regulations, data availability and quality, and computing resources, can impact how a RL solution is constructed in a real-world setting. Nevertheless, RL is a significant task in improving the data quality in a network so that we can draw reliable scientific discoveries from these massive data resources.

scholarly journals scikit-image: Image processing in Python

2014 ◽  
Author(s):  
Stéfan van der Walt ◽  
Johannes L Schönberger ◽  
Juan Nunez-Iglesias ◽  
François Boulogne ◽  
Joshua D Warner ◽  
...  
Keyword(s):  
Image Processing ◽  
Open Source ◽  
Programming Language ◽  
Real World ◽  
Research Education ◽  
Python Programming Language ◽  
Image Library ◽  
Industry Applications ◽  
Python Programming ◽  
World Image

scikit-image is an image processing library that implements algorithms and utilities for use in research, education and industry applications. It is released under the liberal "Modified BSD" open source license, provides a well-documented API in the Python programming language, and is developed by an active, international team of collaborators. In this paper we highlight the advantages of open source to achieve the goals of the scikit-image library, and we showcase several real-world image processing applications that use scikit-image.

scholarly journals An Open-Source Web Portal for Managing Self-reported Data and Real-world Data Donation in Diabetes Research: Feasibility Study. (Preprint)

JMIR Diabetes ◽  
10.2196/33213 ◽  
2021 ◽  
Author(s):  
Drew Cooper ◽  
Tebbe Ubben ◽  
Christine Knoll ◽  
Hanne Ballhausen ◽  
Shane O'Donnell ◽  
...  
Keyword(s):  
Open Source ◽  
Feasibility Study ◽  
Real World ◽  
Diabetes Research ◽  
Web Portal ◽  
Real World Data ◽  
World Data ◽  
Reported Data
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