Browsing by Author "Raula Gaikovina Kula"

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    Teddy: Automatic Recommendation of Pythonic Idiom Usage for Pull-Based Software Projects
    (2020-09-01) Purit Phan-Udom; Naruedon Wattanakul; Tattiya Sakulniwat; Chaiyong Ragkhitwetsagul; Thanwadee Sunetnanta; Morakot Choetkiertikul; Raula Gaikovina Kula; Nara Institute of Science and Technology; Mahidol University
    © 2020 IEEE. Pythonic code is idiomatic code that follows guiding principles and practices within the Python community. Offering performance and readability benefits, Pythonic code is claimed to be widely adopted by experienced Python developers, but can be a learning curve to novice programmers. To aid with Pythonic learning, we create an automated tool, called Teddy, that can help checking the Pythonic idiom usage. The tool offers a prevention mode with Just-In-Time analysis to recommend the use of Pythonic idiom during code review and a detection mode with historical analysis to run a thorough scan of idiomatic and non-idiomatic code. In this paper, we first describe our tool and an evaluation of its performance. Furthermore, we present a case study that demonstrates how to use Teddy in a real-life scenario on an Open Source project. An evaluation shows that Teddy has high precision for detecting Pythonic idiom and non-Pythonic code. Using interactive visualizations, we demonstrate how novice programmers can navigate and identify Pythonic idiom and non-Pythonic code in their projects. Our video demo with the full interactive visualizations is available at https://youtu.be/vOCQReSvBxA.