| webinar-id | 54 | |||||||||||||||||||||
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| date | 2021-07-07T13:00-0400 | |||||||||||||||||||||
| title | Mining Development Data to Understand and Improve Software Engineering Processes in HPC Projects | |||||||||||||||||||||
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| registration-url | https://exascaleproject.zoomgov.com/meeting/register/vJIsd-msqjgpGsfS-Mj9ge97Dlt1r7TTbXE | |||||||||||||||||||||
| ecp-abbreviation | miningdatasep | |||||||||||||||||||||
| qa-public-url | http://bit.ly/HPCBP-QA | |||||||||||||||||||||
| survey-public-url | http://bit.ly/HPCBP-survey-210707 | |||||||||||||||||||||
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The webinar will explore the role of software-related data mining tools in supporting productive development of high-performance scientific software. The webinar will discuss a variety of existing and emerging tools for analyzing code, git, emails, issues, test results, and dependencies, with the long-term goal of improving the understanding of development processes and enhancing developer productivity. The webinar will include specific analysis examples by applying a subset of those tools to ECP projects.