SOFTWARE ENGINEERING GLOBAL INTERACTION LAB

Ze Shi (Zane) Li is currently a PhD student at the University of Victoria. His research interests involve a broad spectrum of areas including requirements engineering, continuous software engineering, privacy, and software ecosystems. In particular, Ze Shi Li’s research has focused on studying practical software problems in organizations and solving these problems through collaborative research. His recent work has closely studied a small start-up organization’s adoption of the GDPR. Moreover, he has extensive experience conducting empirical research studies with software organizations. Contact him at lize@uvic.ca

Colin Werner, Ze Shi Li, Derek Lowlind, Omar Elazhary, Neil Ernst, and Daniela Damian,“Continuously Managing NFRs: Opportunities and Challenges in Practice,” IEEE Transactions on Software Engineering, pp. 1–1, 2021, doi: 10.1109/TSE.2021.3066330.

Omar Elazhary, Colin Werner, Ze Shi Li, Derek Lowlind, Neil Ernst, and Margaret-Anne Storey, “Uncovering the Benefits and Challenges of Continuous Integration Practices,” IEEE Transactions on Software Engineering, pp. 1–1, 2021, doi: 10.1109/TSE.2021.3064953.

Colin Werner, Ze Shi Li, Neil Ernst, and Daniela Damian, The Lack of Shared Understanding of Non-Functional Requirements in Continuous Software Engineering: Accidental or Essential?, 2020 28th IEEE International Requirements Engineering Conference, To Appear August 2020. (preprint)

 

Ze Shi Li, Visa Phusamruat, Tony Clear, and Daniela Damian, (2020) Can Technology and Privacy Co-Exist in a Pandemic? In V.V. Ramraj (Ed.), Covid-19 in Asia: Law and Policy Contexts. Oxford University Press.
 

Ze Shi Li, Colin Werner, and Neil Ernst, Continuous Requirements: An Example Using GDPR, 2019 IEEE 27th International Requirements Engineering Conference Workshops (REW). IEEE, 2019. (preprint)

Colin Werner, Ze Shi Li, and Neil Ernst, What Can the Sentiment of a Software Requirements Specification Document Tell Us?, 2019 IEEE 27th International Requirements Engineering Conference Workshops (REW). IEEE, 2019.. (preprint)

Colin Werner, Ze Shi Li, and Daniela Damian, Can A Machine Learn Through Customer Sentiment? A Cost-Aware Approach To Predict Support Ticket Escalations, in IEEE Software, vol. 36, no. 5, pp. 38-45, Sept.-Oct. 2019. DOI.

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 lize@uvic.ca

Ze Shi Li

PhD Student

 

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