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- Kula, R. G. (2024, July). The Ever-Evolving Promises of Data in Software Ecosystems: Models, AI, and Analytics (Keynote). In Proceedings of the 20th International Conference on Predictive Models and Data Analytics in Software Engineering (pp. 1-1).
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- Raula Gaikovina Kula, “To Sustain a Smart, Dependent and Social Software Ecosystem (Mini-Keynote),” 2021 Mining Software Repositories Conference, Online, 19 May 2021.
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{{< details "Invited International Talks" >}}
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#### Invited International Talks
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1. Raula Gaikovina Kula, What do we know about Libraries and Their Dependencies? Never Work in Theory, April 25th 2023.
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2. Raula Gaikovina Kula, Intelligent Software Updates: Leveraging the Software Ecosystem to Support when to update library dependencies,” Polytechnique Montréal, Canada, 13 March 2020.
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3. Raula Gaikovina Kula, “Intelligent Software Updates: Software Ecosystem Support for library updates,” Queens University, Canada., 10 March 2020.
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4. Raula Gaikovina Kula, “Intelligent Software Updates: Leveraging the Software Ecosystem to Support when to update library dependencies,” Invited talk for Montreal SE Community, École de technologie supérieure Montreal, Canada, 6 February 2020
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5. Raula Gaikovina Kula, "Intelligent Software Updates: Software Ecosystem Support to update library dependencies," Concordia University, Canada, 5 February 2020
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Tutorial Talks
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#### Tutorial Talks
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1. Asia Pacific Young Researchers Track: SANER2019, “Intelligent Software Updates: Leveraging the Software Ecosystem to Support when to update library dependencies,” 24th-27th February 2019.
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2. “Intelligent Software Updates: Software Ecosystem Support for library updates,” Mahidol University, Thailand, 3rd November 2018.
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3. NAIST and Thailand Symposium, “Short-term Internship Projects in Software Engineering: Experience, Outcomes and Perspectives”, Kasetsart University, Thailand, 3rd November 2018.
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4. The 56th CREST Open Workshop (Code Review and Continuous Inspection/Integration), “The Work Space of a Reviewer in Modern Code Review”, London, England, 2017.
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5. SES SIGSE2017 - Special International Track on Software Analytics - “On Updating Library Dependencies in OSS Projects”, Tokyo, Japan, 2017
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{{< naist3 >}}
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### Published Datasets
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To promote Open Science, our research group, in collaboration with our partners, consistently strives to make our datasets available. This allows other researchers to replicate our results.
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Here is a summary of the datasets, and the different publications associated with them.
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#### 2023
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> 18 million links in commit messages: purpose, evolution, and decay - [](https://doi.org/10.5281/zenodo.7536500). The dataset contains 18,201,165 links from commits in 23,110 GitHub repositories.
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> Understanding the role of external pull requests in the NPM ecosystem - [](https://doi.org/10.5281/zenodo.6366998), [GitHub repo](https://github.com/NAIST-SE/External-PullRequest)
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> Does the first response matter for future contributions? A study of first contributions [GitHub repo](https://github.com/NAIST-SE/External-PullRequest)
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> Understanding the Role of Images on Stack Overflow - [Anon 4 Open Science](https://anonymous.4open.science/r/SOImages/README.md)
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