research-article

Keyword programming in java

Authors:

Greg Little,

Robert C. MillerAuthors Info & Claims

ASE '07: Proceedings of the 22nd IEEE/ACM International Conference on Automated Software Engineering

Pages 84 - 93

https://doi.org/10.1145/1321631.1321646

Published: 05 November 2007 Publication History

Get Access

Abstract

Keyword programming is a novel technique for reducing the need to remember details of programming language syntax and APIs, by translating a small number of keywords provided by the user into a valid expression. Prior work has demonstrated the feasibility and merit of this approach in limited domains. This paper presents a new algorithm that scales to the much larger domain of general-purpose Java programming. We tested the algorithm by extracting keywords from method calls in open source projects, and found that it could accurately reconstruct over 90% of the original expressions. We also conducted a study using keywords generated by users, whose results suggest that users can obtain correct Java code using keyword queries as accurately as they can write the correct Java code themselves

References

[1]

Christiane Fellbaum, editor. WordNet: An Electronic Lexical Database. Bradford Books, 1998.

Crossref

Google Scholar

[2]

Rosco Hill and Joe Rideout. Automatic Method Completion. Proceedings of Automated Software Engineering (ASE 2004), pp. 228--235.

Digital Library

Google Scholar

[3]

J.-J. Jeng and B. H. C. Cheng. Specification Matching for Software Reuse: A Foundation. In Proceedings of the 1995 Symposium on Software reusability, pp. 97--105, 1995.

Digital Library

Google Scholar

[4]

Greg Little, Tessa A. Lau, Allen Cypher, James Lin, Eben M. Haber, and Eser Kandogan. Koala: Capture, Share, Automate, Personalize Business Processes on the Web. Proceedings of CHI 2007, to appear.

Digital Library

Google Scholar

[5]

Greg Little, and Robert C. Miller. Translating Keyword Commands into Executable Code. Proceedings of User Interface Software & Technology (UIST 2006), pp. 135--144.

Digital Library

Google Scholar

[6]

David Mandelin, Lin Xu, Rastislav Bodik, Doug Kimelman. Jungloid Mining: Helping to Navigate the API Jungle. Proceedings of the 2005 ACM SIGPLAN conference on Programming language design and implementation, pp. 48--61.

Digital Library

Google Scholar

[7]

R. Prieto-Diaz and P. Freeman. Classifying Software for Reusability. IEEE Software, 4(1):616, 1987.

Digital Library

Google Scholar

[8]

M. Rittri. Retrieving library identifiers via equational matching of types. Proceedings of the tenth international conference on Automated deduction, pp. 603--617, 1990.

Digital Library

Google Scholar

[9]

Naiyana Sahavechaphan and Kajal Claypool. XSnippet: Mining For Sample Code. Proceedings of the 21st annual ACM SIGPLAN conference on Object-oriented Programming Systems, Languages, and Applications (OOPSLA 2006), pp. 413--430.

Digital Library

Google Scholar

[10]

N. Tansalarak and K. T. Claypool. Finding a Needle in the Haystack: A Technique for Ranking Matches between Components. In Proceedings of the 8th International SIGSOFT Symposium on Component-based Software Engineering (CBSE 2005): Software Components at Work, May 2005.

Digital Library

Google Scholar

[11]

Y. Ye, G. Fischer, and B. Reeves. Integrating active information delivery and reuse repository systems. In International Symposium on Foundations of Software Engineeringq, pp. 60--68, November 2000.

Digital Library

Google Scholar

[12]

Y. Ye and G. Fischer. Supporting reuse by delivering task-relevant and personalized information. In Proceedings of the 24th International Conference on Software Engineering (ICSE-02), pp. 513--523, May 2002.

Digital Library

Google Scholar

[13]

A. M. Zaremski and J. M. Wing. Signature matching: a tool for using software libraries. ACM Transactions on Software Engineering and Methodology, (2):146--170, April 1995.

Digital Library

Google Scholar

[14]

A. M. Zaremski and J. M. Wing. Specification matching of software components. ACM Transactions on Software Engineering and Methodology, 6(4):333--369, October 1997.

Digital Library

Google Scholar

Cited By

View all

Corso VMariani LMicucci DRiganelli OBaysal OLinares-Vasquez MMoran KSteinmacher I(2024)Generating Java Methods: An Empirical Assessment of Four AI-Based Code AssistantsProceedings of the 32nd IEEE/ACM International Conference on Program Comprehension10.1145/3643916.3644402(13-23)Online publication date: 15-Apr-2024
https://dl.acm.org/doi/10.1145/3643916.3644402
Sulír MPorubän J(2021)Natural mapping between voice commands and APIsOpen Computer Science10.1515/comp-2020-012511:1(135-145)Online publication date: 13-Jan-2021
https://doi.org/10.1515/comp-2020-0125
Mukherjee RChaudhuri SJermaine C(2021)Searching a database of source codes using contextualized code searchProceedings of the VLDB Endowment10.14778/3401960.340197213:10(1765-1778)Online publication date: 10-Mar-2021
https://dl.acm.org/doi/10.14778/3401960.3401972
Show More Cited By

Index Terms

Keyword programming in java
1. Software and its engineering
  1. Software notations and tools
    1. Development frameworks and environments
    2. General programming languages
      1. Language types
        Object oriented languages

Recommendations

Keyword programming in Java

Keyword programming is a novel technique for reducing the need to remember details of programming language syntax and APIs, by translating a small number of unordered keywords provided by the user into a valid expression. In a sense, the keywords act as ...
Evaluating the Java Native Interface JNI: Data Types and Strings

This article describes how the java native interface JNI is a powerful feature of the java platform that started to draw attention in the latter years as an efficient programming framework for building and delivering innovative technological ...
Structured programming in Java

We argue that for computing majors, it is better to use a 'why' approach to teaching programming than a 'how' approach; this involves (among other things) teaching structured programming before progressing to higher-level styles such as object-oriented ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

ASE '07: Proceedings of the 22nd IEEE/ACM International Conference on Automated Software Engineering

November 2007

590 pages

ISBN:9781595938824

DOI:10.1145/1321631

General Chair:
Kurt Stirewalt
Michigan State University, USA
,
Program Chairs:
Alexander Egyed
Teknowledge Corporation, USA
,
Bernd Fischer
University of Southampton, UK

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]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 05 November 2007

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Conference

ASE07

Sponsor:

ASE07: International Conference on Automated Software Engineering 2007

November 5 - 9, 2007

Georgia, Atlanta, USA

Acceptance Rates

Overall Acceptance Rate 82 of 337 submissions, 24%

Upcoming Conference

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

52
Total Citations
View Citations
690
Total Downloads

Downloads (Last 12 months)15
Downloads (Last 6 weeks)0

Reflects downloads up to 04 Sep 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Corso VMariani LMicucci DRiganelli OBaysal OLinares-Vasquez MMoran KSteinmacher I(2024)Generating Java Methods: An Empirical Assessment of Four AI-Based Code AssistantsProceedings of the 32nd IEEE/ACM International Conference on Program Comprehension10.1145/3643916.3644402(13-23)Online publication date: 15-Apr-2024
https://dl.acm.org/doi/10.1145/3643916.3644402
Sulír MPorubän J(2021)Natural mapping between voice commands and APIsOpen Computer Science10.1515/comp-2020-012511:1(135-145)Online publication date: 13-Jan-2021
https://doi.org/10.1515/comp-2020-0125
Mukherjee RChaudhuri SJermaine C(2021)Searching a database of source codes using contextualized code searchProceedings of the VLDB Endowment10.14778/3401960.340197213:10(1765-1778)Online publication date: 10-Mar-2021
https://dl.acm.org/doi/10.14778/3401960.3401972
Sulir MPoruban J(2019)Designing Voice-Controllable APIs2019 IEEE 15th International Scientific Conference on Informatics10.1109/Informatics47936.2019.9119302(000019-000024)Online publication date: Nov-2019
https://doi.org/10.1109/Informatics47936.2019.9119302
Yang Y(2018)Generative transformation via abstract change scriptInternational Journal of Knowledge-based and Intelligent Engineering Systems10.3233/KES-18039122:4(277-286)Online publication date: 24-Dec-2018
https://doi.org/10.3233/KES-180391
Huang QHuang BFang ZXiao MYu Y(2018)Exploiting abstract change pattern from code changesJournal of Intelligent & Fuzzy Systems10.3233/JIFS-16969835:2(1597-1608)Online publication date: 26-Aug-2018
https://doi.org/10.3233/JIFS-169698
Fast EChen BMendelsohn JBassen JBernstein MMandryk RHancock MPerry MCox A(2018)IrisProceedings of the 2018 CHI Conference on Human Factors in Computing Systems10.1145/3173574.3174047(1-12)Online publication date: 21-Apr-2018
https://dl.acm.org/doi/10.1145/3173574.3174047
Atzeni MAtzori M(2018)Towards Semantic Approaches for General-Purpose End-User Development2018 Second IEEE International Conference on Robotic Computing (IRC)10.1109/IRC.2018.00077(369-376)Online publication date: Jan-2018
https://doi.org/10.1109/IRC.2018.00077
Reiss SMiao YXin Q(2018)Seeking the user interfaceAutomated Software Engineering10.1007/s10515-017-0216-325:1(157-193)Online publication date: 1-Mar-2018
https://dl.acm.org/doi/10.1007/s10515-017-0216-3
Yessenov KKuraj ISolar-Lezama A(2017)DemoMatch: API discovery from demonstrationsACM SIGPLAN Notices10.1145/3140587.306238652:6(64-78)Online publication date: 14-Jun-2017
https://dl.acm.org/doi/10.1145/3140587.3062386
Show More Cited By

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Index Terms

Recommendations

Keyword programming in Java

Evaluating the Java Native Interface JNI: Data Types and Strings

Structured programming in Java