Abstract
Software developers increasingly rely on information from the Web, such as documents or code examples on application programming interfaces (APIs), to facilitate their development processes. However, API documents often do not include enough information for developers to fully understand how to use the APIs, and searching for good code examples requires considerable effort. To address this problem, we propose a novel code example recommendation system that combines the strength of browsing documents and searching for code examples and returns API documents embedded with high-quality code example summaries mined from the Web. Our evaluation results show that our approach provides code examples with high precision and boosts programmer productivity.
| Original language | English |
|---|---|
| Article number | 1 |
| Journal | ACM Transactions on Information Systems |
| Volume | 31 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2013 Jan 1 |
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All Science Journal Classification (ASJC) codes
- Information Systems
- Business, Management and Accounting(all)
- Computer Science Applications
Cite this
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Enriching documents with examples : A corpus mining approach. / Kim, Jinhan; Lee, Sanghoon; Hwang, Seungwon; Kim, Sunghun.
In: ACM Transactions on Information Systems, Vol. 31, No. 1, 1, 01.01.2013.Research output: Contribution to journal › Article
TY - JOUR
T1 - Enriching documents with examples
T2 - A corpus mining approach
AU - Kim, Jinhan
AU - Lee, Sanghoon
AU - Hwang, Seungwon
AU - Kim, Sunghun
PY - 2013/1/1
Y1 - 2013/1/1
N2 - Software developers increasingly rely on information from the Web, such as documents or code examples on application programming interfaces (APIs), to facilitate their development processes. However, API documents often do not include enough information for developers to fully understand how to use the APIs, and searching for good code examples requires considerable effort. To address this problem, we propose a novel code example recommendation system that combines the strength of browsing documents and searching for code examples and returns API documents embedded with high-quality code example summaries mined from the Web. Our evaluation results show that our approach provides code examples with high precision and boosts programmer productivity.
AB - Software developers increasingly rely on information from the Web, such as documents or code examples on application programming interfaces (APIs), to facilitate their development processes. However, API documents often do not include enough information for developers to fully understand how to use the APIs, and searching for good code examples requires considerable effort. To address this problem, we propose a novel code example recommendation system that combines the strength of browsing documents and searching for code examples and returns API documents embedded with high-quality code example summaries mined from the Web. Our evaluation results show that our approach provides code examples with high precision and boosts programmer productivity.
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U2 - 10.1145/2414782.2414783
DO - 10.1145/2414782.2414783
M3 - Article
AN - SCOPUS:84873891290
VL - 31
JO - ACM Transactions on Information Systems
JF - ACM Transactions on Information Systems
SN - 1046-8188
IS - 1
M1 - 1
ER -