Cited By
View all- Moseler ODiehl S(2023)The CodeSparks Framework – Augmenting Source Code with Glyph-based VisualizationsScience of Computer Programming10.1016/j.scico.2023.102998230:COnline publication date: 1-Aug-2023
COSTER: a tool for finding fully qualified names of API elements in online code snippets
Pages 73 - 76
Abstract
Code snippets available on question answering sites (e.g., Stack Overflow) are a great source of information for learning how to use APIs. However, it is difficult to determine which APIs are discussed in those code snippets because they often suffer from declaration ambiguities and missing external references. In this paper, we introduce COSTER, a context-sensitive type solver that can determine the fully qualified names (FQNs) of API elements in those code snippets. The tool uses three different similarity measures to rank potential FQNs of a query API element. Results from our quantitative evaluation and user study demonstrate that the proposed tool can not only recommend FQNs of API elements with great accuracy but can also help developers to reuse online code snippets by suggesting the required import statements.
Website: https://khaledkucse.github.io/COSTER/
Demo Video: https://youtu.be/oDZtw9MzUWM
References
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S. Subramanian, L. Inozemtseva, and R. Holmes, "Live api documentation," in Proc. of the 36th International Conference on Software Engineering, 2014, pp. 643--652.
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M. Ahasanuzzaman, M. Asaduzzaman, and C. K. Roy, "CAPS: a supervised technique for classifying Stack Overflow posts concerning API issues," Empirical Software Engineering, vol. 25, pp. 1493--1532, 2020.
[3]
C. K. Saifullah, M. Asaduzzaman, and C. K. Roy, "Learning from examples to find fully qualified names of api elements in code snippets," in Proc. of the 34th International Conference on Automated Software Engineering, 2019, pp. 243--254.
[4]
C. Sun, D. Lo, S.-C. Khoo, and J. Jiang, "Towards more accurate retrieval of duplicate bug reports," in Proc. of the 26th International Conference on Automated Software Engineering, 2011, pp. 253--262.
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H. Phan, H. Nguyen, N. Tran, L. Truong, A. Nguyen, and T. Nguyen, "Statistical learning of api fully qualified names in code snippets of online forums," in Proc. of the 40th International Conference on Software Engineering, 2018, pp. 632--642.
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B. Dagenais and L. Hendren, "Enabling static analysis for partial java programs," in Proc. of the 23rd International Conference on Objectoriented Programming Systems Languages and Applications, vol. 43, no. 10, 2008, pp. 313--328.
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Published: 29 November 2021
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Cited By
View all- Moseler ODiehl S(2023)The CodeSparks Framework – Augmenting Source Code with Glyph-based VisualizationsScience of Computer Programming10.1016/j.scico.2023.102998230:COnline publication date: 1-Aug-2023
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