A Pilot Study on Introducing Continuous Integration and Delivery into Undergraduate Software Engineering Courses

2017 ◽  
Author(s):  
Brian P. Eddy ◽  
Norman Wilde ◽  
Nathan A. Cooper ◽  
Bhavyansh Mishra ◽  
Valeria S. Gamboa ◽  
...  
Keyword(s):  
Pilot Study ◽  
Software Engineering ◽  
Continuous Integration

Towards verified continuous integration in the engineering of automated production systems

2018 ◽  
Vol 66 (10) ◽  
pp. 784-794 ◽  
Author(s):  
Jakob Mund ◽  
Safa Bougouffa ◽  
Iman Badr ◽  
Birgit Vogel-Heuser
Keyword(s):  
Quality Assurance ◽  
Software Engineering ◽  
System Integration ◽  
Research Agenda ◽  
Production Systems ◽  
Individual Quality ◽  
Quality Model ◽  
Automated Production ◽  
Continuous Integration ◽  
Verification Techniques

Abstract Continuous integration (CI) is widely used in software engineering. The observed benefits include reduced efforts for system integration, which is particularly appealing for engineering automated production systems (aPS) due to the different disciplines involved. Yet, while many individual quality assurance means for aPS have been proposed, their adequacy for and systematic use in CI remains unclear. In this article, the authors provide two key contributions: First, a quality model for a model-based engineering approach specifically developed for aPS. Based thereon, a discussion of the suitable verification techniques for aPS and their systematic integration in a CI process are given. As a result, the paper provide a blueprint to be further studied in practice, and a research agenda for quality assurance of aPS.

USE OF EXTREME PROGRAMMING IN SOFTWARE ENGINEERING EDUCATION: A PILOT STUDY

2008 ◽  
Vol 31 (1) ◽  
pp. 39-47
Author(s):  
Hatim A. Aboalsamh ◽  
Ghazy M.R. Assassa ◽  
Hmood Al Dossar ◽  
Hassan I. Mathkour
Keyword(s):  
Pilot Study ◽  
Software Engineering ◽  
Engineering Education ◽  
Extreme Programming ◽  
Software Engineering Education

scholarly journals TemplateFlow: a community archive of imaging templates and atlases for improved consistency in neuroimaging

2021 ◽  
Author(s):  
Rastko Ciric ◽  
Romy Lorenz ◽  
William Thompson ◽  
Mathias Goncalves ◽  
Eilidh MacNicol ◽  
...  
Keyword(s):  
Software Engineering ◽  
Best Practices ◽  
Data Management ◽  
Client Application ◽  
Continuous Integration ◽  
Important Challenge ◽  
Resource Identification ◽  
Engineering Best Practices ◽  
Community Archive

Abstract Neuroimaging templates and corresponding atlases play a central role in experimental workflows and are the foundation for reporting standardised results. The proliferation of templates and atlases is one relevant source of methodological variability across studies, which has been recently brought to attention as an important challenge to reproducibility in neuroscience. Unclear nomenclature, an overabundance of template variants and options, inadequate provenance tracking and maintenance, and poor concordance between atlases introduce further unreliability into reported results. We introduce TemplateFlow, a cloud-based repository of human and nonhuman imaging templates paired with a client application for programmatically accessing resources. TemplateFlow is designed to be extensible, providing a transparent pathway for researchers to contribute and vet templates and their associated atlases. Following software engineering best practices, TemplateFlow leverages technologies for unambiguous resource identification, data management, versioning and synchronisation, programmatic extensibility, and continuous integration. By equipping researchers with a robust resource for using and evaluating templates, TemplateFlow will contribute to increasing the reliability of neuroimaging results.

A Practical Software Engineering Curriculum: A Pilot Study

1993 ◽  
Author(s):  
Arun P. Gupta ◽  
Weibin Zhu ◽  
Kimberly R. Brown ◽  
Calvin Ezell
Keyword(s):  
Pilot Study ◽  
Software Engineering ◽  
Engineering Curriculum

scholarly journals Bridging the Gap between Academia and Industry through Students’ Contributions to the FIWARE European Open-Source Initiative: A Pilot Study

Electronics ◽  
2021 ◽  
Vol 10 (13) ◽  
pp. 1523
Author(s):  
Javier Conde ◽  
Sonsoles López-Pernas ◽  
Alejandro Pozo ◽  
Andres Munoz-Arcentales ◽  
Gabriel Huecas ◽  
...  
Keyword(s):  
Pilot Study ◽  
Software Engineering ◽  
Software Development ◽  
Computer Science ◽  
Open Source ◽  
Open Source Software ◽  
Previous Experience ◽  
Positive Perception ◽  
Teachers And Students ◽  
Recent Graduates

Although many courses in computer science and software engineering require students to work on practical assignments, these are usually toy projects that do not come close to real professional developments. As such, recent graduates often fail to meet industry expectations when they first enter the workforce. In view of the gap between graduates’ skills and industry expectations, several institutions have resorted to integrating open-source software development as part of their programs. In this pilot study, we report on the results of the contributions of eleven students to the FIWARE open-source project as part of their final year project. Our findings suggest that both teachers and students have a positive perception towards contributing to the FIWARE open-source initiative and that students increased their knowledge of technologies valued by the industry. We also found that this kind of project requires an additional initial effort for the students as well as for the instructor to monitor their progress. Consequently, it is important that the instructors have previous experience in FIWARE, as many of the students need help during the process.

scholarly journals TemplateFlow: a community archive of imaging templates and atlases for improved consistency in neuroimaging

2021 ◽  
Author(s):  
R Ciric ◽  
R Lorenz ◽  
WH Thompson ◽  
M Goncalves ◽  
E MacNicol ◽  
...  
Keyword(s):  
Software Engineering ◽  
Best Practices ◽  
Data Management ◽  
Client Application ◽  
Continuous Integration ◽  
Important Challenge ◽  
Resource Identification ◽  
Engineering Best Practices ◽  
Community Archive

Neuroimaging templates and corresponding atlases play a central role in experimental workflows and are the foundation for reporting standardised results. The proliferation of templates and atlases is one relevant source of methodological variability across studies, which has been recently brought to attention as an important challenge to reproducibility in neuroscience. Unclear nomenclature, an overabundance of template variants and options, inadequate provenance tracking and maintenance, and poor concordance between atlases introduce further unreliability into reported results. We introduce TemplateFlow, a cloud-based repository of human and nonhuman imaging templates paired with a client application for programmatically accessing resources. TemplateFlow is designed to be extensible, providing a transparent pathway for researchers to contribute and vet templates and their associated atlases. Following software engineering best practices, TemplateFlow leverages technologies for unambiguous resource identification, data management, versioning and synchronisation, programmatic extensibility, and continuous integration. By equipping researchers with a robust resource for using and evaluating templates, TemplateFlow will contribute to increasing the reliability of neuroimaging results.

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