@inproceedings{10.1145/3526113.3545647,
author = {Yan, Litao and Kim, Miryung and Hartmann, Bjoern and Zhang, Tianyi and Glassman, Elena L.},
title = {Concept-Annotated Examples for Library Comparison},
year = {2022},
isbn = {9781450393201},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi-org.libproxy.berkeley.edu/10.1145/3526113.3545647},
doi = {10.1145/3526113.3545647},
abstract = {Programmers often rely on online resources—such as code examples, documentation, blogs, and Q\&A forums—to compare similar libraries and select the one most suitable for their own tasks and contexts. However, this comparison task is often done in an ad-hoc manner, which may result in suboptimal choices. Inspired by Analogical Learning and Variation Theory, we hypothesize that rendering many concept-annotated code examples from different libraries side-by-side can help programmers (1) develop a more comprehensive understanding of the libraries’ similarities and distinctions and (2) make more robust, appropriate library selections. We designed a novel interactive interface, ParaLib, and used it as a technical probe to explore to what extent many side-by-side concepted-annotated examples can facilitate the library comparison and selection process. A within-subjects user study with 20 programmers shows that, when using ParaLib, participants made more consistent, suitable library selections and provided more comprehensive summaries of libraries’ similarities and differences.},
booktitle = {Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology},
articleno = {65},
numpages = {16},
keywords = {Sensemaking, programming support, visualization},
location = {Bend, OR, USA},
series = {UIST '22}
}