research-article

Searching API usage examples in code repositories with sourcerer API search

Authors:

Sushil Bajracharya,

Cristina LopesAuthors Info & Claims

SUITE '10: Proceedings of 2010 ICSE Workshop on Search-driven Development: Users, Infrastructure, Tools and Evaluation

Pages 5 - 8

https://doi.org/10.1145/1809175.1809177

Published: 01 May 2010 Publication History

Abstract

We present Sourcerer API Search (SAS), a search interface to find API usage examples in large code repositories. SAS facilitates finding API usage examples by providing three unique features: (i) code snippets view for each result that shows the portions of code where APIs are used; (ii) Tag-cloud view of popular words to facilitate query reformulation, and (iii) filtering results using APIs to narrow search results. Furthermore, SAS uses a code index where each code entity is indexed with terms not only found in the entity but also in other entities having similar API usage. These features make SAS a novel search interface to find API usage examples in code repositories.

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https://dl.acm.org/doi/10.1109/ASE56229.2023.00075
Wang YZhou YChen TZhang JYang WHuang Z(2022)Sequence-Aware API Recommendation Based on Collaborative FilteringInternational Journal of Software Engineering and Knowledge Engineering10.1142/S021819402250043732:08(1203-1228)Online publication date: 19-Aug-2022
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Published In

cover image ACM Conferences

SUITE '10: Proceedings of 2010 ICSE Workshop on Search-driven Development: Users, Infrastructure, Tools and Evaluation

May 2010

60 pages

ISBN:9781605589626

DOI:10.1145/1809175

Conference Chairs:
Sushil Bajracharya
University of California at Irvine, USA
,
Adrian Kuhn
University of Bern, Switzerland
,
Yunen Ye
Software Research Associates Inc., Japan

Copyright © 2010 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 01 May 2010

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ICSE '10: 32nd International Conference on Software Engineering

May 1, 2010

Cape Town, South Africa

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Cited By

Huang QWan ZXing ZWang CChen JXu XLu QBissyandé TKlein JBird CSarro F(2023)Let's Chat to Find the APIs: Connecting Human, LLM and Knowledge Graph through AI ChainProceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering10.1109/ASE56229.2023.00075(471-483)Online publication date: 11-Nov-2023
https://dl.acm.org/doi/10.1109/ASE56229.2023.00075
Wang YZhou YChen TZhang JYang WHuang Z(2022)Sequence-Aware API Recommendation Based on Collaborative FilteringInternational Journal of Software Engineering and Knowledge Engineering10.1142/S021819402250043732:08(1203-1228)Online publication date: 19-Aug-2022
https://doi.org/10.1142/S0218194022500437
da Silva RRoy CRahman MSchneider KPaixão KDantas CMaia M(2020)CROKAGE: effective solution recommendation for programming tasks by leveraging crowd knowledgeEmpirical Software Engineering10.1007/s10664-020-09863-2Online publication date: 2-Sep-2020
https://doi.org/10.1007/s10664-020-09863-2
Liu LBahrami MPark JChen W(2020)Web API Search: Discover Web API and Its Endpoint with Natural Language QueriesWeb Services – ICWS 202010.1007/978-3-030-59618-7_7(96-113)Online publication date: 19-Sep-2020
https://doi.org/10.1007/978-3-030-59618-7_7
Silva RRoy CRahman MSchneider KPaixao Kde Almeida Maia MGuéhéneuc YKhomh FSarro F(2019)Recommending comprehensive solutions for programming tasks by mining crowd knowledgeProceedings of the 27th International Conference on Program Comprehension10.1109/ICPC.2019.00054(358-368)Online publication date: 25-May-2019
https://dl.acm.org/doi/10.1109/ICPC.2019.00054
del Carpio P(2017)Extracting word clouds in Git repositories2017 12th Iberian Conference on Information Systems and Technologies (CISTI)10.23919/CISTI.2017.7975911(1-6)Online publication date: Jul-2017
https://doi.org/10.23919/CISTI.2017.7975911
Martie LHoek AKwak TBodden ESchäfer WDeursen AZisman A(2017)Understanding the impact of support for iteration on code searchProceedings of the 2017 11th Joint Meeting on Foundations of Software Engineering10.1145/3106237.3106293(774-785)Online publication date: 21-Aug-2017
https://dl.acm.org/doi/10.1145/3106237.3106293
Yu HSong WMine TMei HLv JJin ZLi X(2016)APIBookProceedings of the 8th Asia-Pacific Symposium on Internetware10.1145/2993717.2993727(45-53)Online publication date: 18-Sep-2016
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Zhu ZZou YXie BJin YLin ZZhang L(2014)Mining API Usage Examples from Test CodeProceedings of the 2014 IEEE International Conference on Software Maintenance and Evolution10.1109/ICSME.2014.52(301-310)Online publication date: 29-Sep-2014
https://dl.acm.org/doi/10.1109/ICSME.2014.52
Bajracharya SOssher JLopes C(2014)SourcererScience of Computer Programming10.1016/j.scico.2012.04.00879(241-259)Online publication date: 1-Jan-2014
https://dl.acm.org/doi/10.1016/j.scico.2012.04.008
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