Latest Publications
- Venigalla, A. S. M., & Chimalakonda, S. (2024). An exploratory study of software artifacts on GitHub from the lens of documentation. Information and Software Technology, 107425.
- Swarna, K. C., Mathews, N. S., Vagavolu, D., & Chimalakonda, S. (2024). On the impact of multiple source code representations on software engineering tasks—An empirical study. Journal of Systems and Software, 210, 111941.
- Priya, S., Bhadra, S., Chimalakonda, S., & Venigalla, A. S. M. (2024). ML-Quest: a game for introducing machine learning concepts to K-12 students. Interactive Learning Environments, 32(1), 229-244.
- Shanbhag, S., & Chimalakonda, S. (2023, May). An exploratory study on energy consumption of dataframe processing libraries. In 2023 IEEE/ACM 20th International Conference on Mining Software Repositories (MSR) (pp. 284-295). IEEE.
- Shanbhag, S., & Chimalakonda, S. (2022, November). Exploring the under-explored terrain of non-open source data for software engineering through the lens of federated learning. In Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (pp. 1610-1614).
- Gupta, N., Rajput, A., & Chimalakonda, S. (2022, May). COSPEX: a program comprehension tool for novice programmers. In Proceedings of the ACM/IEEE 44th International Conference on Software Engineering: Companion Proceedings (pp. 41-45).
- Vadlamani, A., Kalicheti, R., & Chimalakonda, S. (2021, May). Apiscanner-towards automated detection of deprecated apis in python libraries. In 2021 IEEE/ACM 43rd International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) (pp. 5-8). IEEE.
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