APA
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Madugalla, A., Kanij, T., Brett, C., Feltham, D., Keane, R., Pugh, L., & van der Spuy, I. (2023). A Knowledge Sharing Framework for Better Interaction with Participants. IEEE Symposium on Visual Languages / Human-Centric Computing Languages and Environments.
Chicago/Turabian
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Madugalla, Anuradha, Tanjila Kanij, Chloe Brett, Daniel Feltham, Riley Keane, Lucia Pugh, and Irmgard van der Spuy. “A Knowledge Sharing Framework for Better Interaction with Participants.” IEEE Symposium on Visual Languages / Human-Centric Computing Languages and Environments (2023).
MLA
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Madugalla, Anuradha, et al. “A Knowledge Sharing Framework for Better Interaction with Participants.” IEEE Symposium on Visual Languages / Human-Centric Computing Languages and Environments, 2023.
BibTeX Click to copy
@article{anuradha2023a,
title = {A Knowledge Sharing Framework for Better Interaction with Participants},
year = {2023},
journal = {IEEE Symposium on Visual Languages / Human-Centric Computing Languages and Environments},
author = {Madugalla, Anuradha and Kanij, Tanjila and Brett, Chloe and Feltham, Daniel and Keane, Riley and Pugh, Lucia and van der Spuy, Irmgard}
}
Software Engineering (SE) researchers need to interact with diverse communities such as disabled users, older adults, and people from various cultures and professions. This interactions have always been challenging that and were exacerbated by the COVID-19 pandemic which led to the adoption of new methods such as Zoom-based interviews, collaborative tools-based workshops and so on. These issues can be overcome by collective knowledge sharing. This paper presents a knowledge sharing framework for the SE research community to support information sharing about research frameworks, tools, and guidelines to be used when interacting with particular participant groups. We developed this framework using JavaScript (JS) and CSS and hosted the knowledge data as YAML files in the GitHub repository. The framework facilitates adding new content to the tool while consuming what is already there. By using GitHub and establishing a CI/CD pipeline to Vercel (the hosting service) we supported automatic integration of content after it has been approved by a moderator. We developed this framework using the iterative development approach and sought feedback from the SE research community in each iteration.
