Jack Humphrey, Chris Mazur and Aubrey Nickerson
Computer Science Department, Okanagan College, Kelowna
IEEE Okanagan College Student Branch & IEEE Okanagan Subsection Present (co-sponsored by NSERC ARD L2 GPerf2 research project)
Jira, Confluence and Bitbucket: A Beginner’s Approach to SW Project Management
Time & Date: 2 PM – 3:30 PM, Friday, October 25th, 2019
Location: B112, Okanagan College, Kelowna BC
Talk Abstract: We will be providing a workshop environment to present on Atlassian’s cloud-based Project Management environment, Jira Cloud. Included in this workshop will be aspects of version control in the form of Bitbucket, as well as document management through Confluence. Together, Jira, Confluence, and Bitbucket allow teams to implement an AGILE approach to project management.
This will be a “bring your own computer” event Participants will be guided through Jira and Bitbucket account creation, linking their Atlassian products, analyzing a problem to create a backlog, starting a sprint, self-assigning tasks from the backlog, utilizing Bitbucket for version control as they work together on a single file, closing their sprint, and performing a retrospective including analysis of burn-down charts and comparison of estimates to reality.
Jack Humphrey is a third-year BCIS Student working as a Research Student for the NSERC GPerf2 project. Working in an industry that focuses on lifelong learning, he enjoys working on personal projects in his spare time and has recently directed his focus toward Machine Learning and Data Visualization, where he hopes to find new and intuitive ways to display information.
Aubrey Nickerson is a BCIS student working part-time as a research assistant for the NSERC GPerf2 project. He is studying in the Software Development option and enjoys creating databases, web design, and programming data structures. He is currently investigating machine learning.
Chris Mazur is a BCIS student working part-time as a research assistant for the NSERC GPerf2 project. He enjoys project management and algorithms and is investigating machine learning.
For further information please contact: Youry Khmelevsky (email: youry at ieee.org)
Refreshments will be provided