More Web Proxy on the site http://driver.im/

Article

Summarization of complex software artifacts

Author:

Laura MorenoAuthors Info & Claims

ICSE Companion 2014: Companion Proceedings of the 36th International Conference on Software Engineering

Pages 654 - 657

https://doi.org/10.1145/2591062.2591096

Published: 31 May 2014 Publication History

Abstract

Program understanding is necessary for most software engineering tasks. Internal and external documentation help during this process. Unfortunately, this documentation is often missing or outdated. An alternative to solve this situation is automatically summarizing software artifacts. In the case of source code, a few approaches have been proposed to generate natural language descriptions of fine-grained elements of the code. This research focuses on the automatic generation of generic natural language summaries of complex code artifacts, such as, classes and change sets. In addition, these generic summaries will be adapted to support specific maintenance tasks.

References

[1]

Binkley, D., Lawrie, D., Hill, E., Burge, J., Harris, I., Hebig, R., Keszocze, Reed, K., and Slankas, J., "Task-Driven Software Summarization", in Proceedings of 29th IEEE International Conference on Sofware Maintenance (ICSM'13), ERA track, Eindhoven, The Netherlands, 22-28 September 2013, pp. 432-435.

Digital Library

[2]

Buse, R. and Weimer, W., "Automatic documentation inference for exceptions", in Proceedings of Inter. Symposium on Software Testing and Analysis (ISSTA'08), Seattle, WA, USA, 2008, pp. 273-282.

Digital Library

[3]

Buse, R. and Weimer, W., "Automatically Documenting Program Changes", in Proceedings of 25th IEEE/ACM International Conference on Automated Software Engineering (ASE'10), Antwerp, Belgium, 20-24 September 2010, pp. 33-42.

Digital Library

[4]

De Souza, S. C. and Anqutil, N., "A Study of the Documentation Essential to Software Maintenace", in 23rd International Conf. on Design of Communication: Documenting & Designing for Pervasive Information. Conventry, United Kingdom, 2005, pp. 68-75.

Digital Library

[5]

Dragan, N., Collard, M. L., and Maletic, J. I., "Reverse Engineering Method Stereotypes", in Proceedings of 22nd IEEE International Conference on Software Maintenance (ICSM'06), 2006, pp. 24 - 34.

Digital Library

[6]

Dragan, N., Collard, M. L., and Maletic, J. I., "Automatic Identification of Class Stereotypes", in Proceedings of 26th IEEE International Conference on Software Maintenance (ICSM'10), Timisoara, Romania, 12-18 September 2010, pp. 1 -10.

Digital Library

[7]

Haiduc, S., Aponte, J., and Marcus, A., "Supporting Program Comprehension with Source Code Summarization", in Proceedings of 32nd ACM/IEEE International Conference on Software Engineering (ICSE'10), NIER track, Cape Town, South Africa, 2-8 May 2010, pp. 223-226.

Digital Library

[8]

Haiduc, S., Aponte, J., Moreno, L., and Marcus, A., "On the Use of Automated Text Summarization Techniques for Summarizing Source Code", in Proceedings of 17th IEEE Working Conference on Reverese Engineering (WCRE'10), Beverly, MA, 13-16 October 2010, pp. 35-44.

Digital Library

[9]

Hamou-Lhadj, A. and Lethbridge, T., "Summarizing the Content of Large Traces to Facilitate the Understanding of the Behaviour of a Software System", in Proceedings of 14th IEEE International Conference on Program Comprehension (ICPC'06), Athens, Greece, 2006, pp. 181-190.

Digital Library

[10]

Ko, A. J., Myers, B. A., Coblenz, M. J., and Aung, H. H., "An Exploratory Study of How Developers Seek, Relate, and Collect Relevant Information during Software Maintenance Tasks", IEEE Transactions on Software Engineering (TSE), vol. 32, no. 12, 2006, pp. 971-987.

Digital Library

[11]

Kuhn, A., Ducasse, S., and Girba, T., "Semantic Clustering: Identifying Topics in Source Code", Information and Software Technology, vol. 49, no. 3, 2007, pp. 230-243.

Digital Library

[12]

LaToza, T. D., Venolia, G., and DeLine, R., "Maintaining mental models: a study of developer work habits", in Proceedings of 28th IEEE International Conference on Software Engineering, 2006.

Digital Library

[13]

Lotufo, R., Malik, Z., and Czarnecki, K., "Modelling the 'Hurried' Bug Report Reading Process to Summarize Bug Reports", in Proceedings of 28th IEEE International Conference on Software Maintenance (ICSM'12), Trento, Italy, 23-28 September 2012, pp. 430-439.

Digital Library

[14]

Mani, S., Catherine, R., Sinha, V. S., and Dubay, A., "AUSUM: approach for unsupervised bug report summarization", in Proceedings of ACM SIGSOFT 20th International Symposium on the Foundations of Software Engineering (FSE'12), Cary, NC, 11-16 November 2012.

Digital Library

[15]

Moreno, L., Aponte, J., Sridhara, G., Marcus, A., Pollock, L., and Shanker, V., "Automatic Generation of Natural Language Summaries for Java Classes", in Proceedings of 21st International Conference on Program Comprehension (ICPC'13), San Francisco, USA, May 20-21, 2013 2013, pp. 23-32.

[16]

Poshyvanyk, D. and Marcus, A., "Combining Formal Concept Analysis with Information Retrieval for Concept Location in Source Code", in Proceedings of 15th IEEE International Conference on Program Comprehension (ICPC'07), Banff, Alberta, Canada, June 26-29 2007, pp. 37-48.

Digital Library

[17]

Rastkar, S. and Murphy, G., "Why Did This Code Change?", in Proceedings of 35th International Conference on Software Engineering (ICSE'13), San Francisco, CA, USA, 18-26 May 2013, pp. 1193-1196.

Digital Library

[18]

Rastkar, S., Murphy, G. C., and Bradley, A. W. J., "Generating Natural Language Summaries for Crosscutting Source Code Concerns", in Proceedings of 27th IEEE International Conference on Software Maintenance (ICSM'11), Williamsburg, VA, 25-30 September 2011, pp. 103-112.

Digital Library

[19]

Rastkar, S., Murphy, G. C., and Murray, G., "Summarizing Software Artifacts: A Case Study of Bug Reports", in Proceedings of 32nd ACM/IEEE International Conference on Software Engineering (ICSE'10), Cape Town, South Africa, 2-8 May 2010, pp. 505-514.

Digital Library

[20]

Sparck-Jones, K., "Automatic summarising: The state of the art", Information Processing and Management: An International Journal, vol. 43, no. 6, 2007, pp. 1449-1481.

Digital Library

[21]

Sridhara, G., Hill, E., Muppaneni, D., Pollock, L., and Vijay-Shanker, K., "Towards Automatically Generating Summary Comments for Java Methods", in Proceedings of 25th IEEE/ACM International Conference on Automated Software Engineering (ASE'10), Antwerp, Belgium, 20-24 September 2010, pp. 43-52.

Digital Library

[22]

Sridhara, G., Pollock, L., and Vijay-Shanker, K., "Automatically Detecting and Describing High Level Actions within Methods", in Proceedings of 33rd IEEE/ACM International Conference on Software Engineering (ICSE'11) Honolulu, HI, USA, 21-28 May 2011, pp. 101-110.

Digital Library

Cited By

Mahato PNarayan A(2021)MINTS: Unsupervised Temporal Specifications Miner2021 IEEE 21st International Conference on Software Quality, Reliability and Security (QRS)10.1109/QRS54544.2021.00093(841-851)Online publication date: Dec-2021
https://doi.org/10.1109/QRS54544.2021.00093
Portugal IOliveira TAlencar PCowan D(2020)MylynSDP — Process - aware artifact filtering based on interestJournal of the Brazilian Computer Society10.1186/s13173-020-00100-826:1Online publication date: 10-Aug-2020
https://doi.org/10.1186/s13173-020-00100-8
Ieva CGotlieb AKaci SLazaar N(2018)Discovering Program Topoi via Hierarchical Agglomerative ClusteringIEEE Transactions on Reliability10.1109/TR.2018.282813567:3(758-770)Online publication date: Sep-2018
https://doi.org/10.1109/TR.2018.2828135
Show More Cited By

Index Terms

Summarization of complex software artifacts
1. Social and professional topics
  1. Professional topics
    1. Management of computing and information systems
      1. Software management
        Software maintenance
2. Software and its engineering
  1. Software creation and management
    1. Software post-development issues

Recommendations

WikiWiki weaving heterogeneous software artifacts
WikiSym '05: Proceedings of the 2005 international symposium on Wikis

Good documentation benefits every software development project, especially large ones, but it can be hard, costly, and tiresome to produce when not supported by appropriate tools and methods.The documentation of a software system uses different ...
Documenting software using adaptive software artifacts
SPLASH '13: Proceedings of the 2013 companion publication for conference on Systems, programming, & applications: software for humanity

Creating and using software documentation presents numerous challenges, namely in what concerns the expression of knowledge structures, consistency maintenance and classification. Adaptive Software Artifacts is a flexible approach to expressing ...
Documenting software systems with views
SIGDOC '92: Proceedings of the 10th annual international conference on Systems documentation

Software professionals rely on internal documentation as an aid in understanding programs. Unfortunately, the documentation for most programs is usually out-of-date and cannot be trusted. Without it, the only reliable and objective information is the ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Conferences

ICSE Companion 2014: Companion Proceedings of the 36th International Conference on Software Engineering

May 2014

741 pages

ISBN:9781450327688

DOI:10.1145/2591062

General Chair:
Pankaj Jalote
IIIT-Delhi, India
,
Program Chairs:
Lionel Briand
University of Luxembourg, Luxembourg
,
André van der Hoek
University of California, Irvine, USA

Copyright © 2014 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 the author(s) 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].

Sponsors

SIGSOFT: ACM Special Interest Group on Software Engineering

In-Cooperation

TCSE: IEEE Computer Society's Tech. Council on Software Engin.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 31 May 2014

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Article

Conference

ICSE '14

Sponsor:

SIGSOFT

ICSE '14: 36th International Conference on Software Engineering

May 31 - June 7, 2014

Hyderabad, India

Acceptance Rates

Overall Acceptance Rate 276 of 1,856 submissions, 15%

Upcoming Conference

ICSE 2025

2025 IEEE/ACM 46th International Conference on Software Engineering

April 26 - May 3, 2025

Ottawa , ON , Canada

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

5
Total Citations
View Citations
371
Total Downloads

Downloads (Last 12 months)4
Downloads (Last 6 weeks)0

Reflects downloads up to 13 Dec 2024

Other Metrics

View Author Metrics

Citations

Cited By

Mahato PNarayan A(2021)MINTS: Unsupervised Temporal Specifications Miner2021 IEEE 21st International Conference on Software Quality, Reliability and Security (QRS)10.1109/QRS54544.2021.00093(841-851)Online publication date: Dec-2021
https://doi.org/10.1109/QRS54544.2021.00093
Portugal IOliveira TAlencar PCowan D(2020)MylynSDP — Process - aware artifact filtering based on interestJournal of the Brazilian Computer Society10.1186/s13173-020-00100-826:1Online publication date: 10-Aug-2020
https://doi.org/10.1186/s13173-020-00100-8
Ieva CGotlieb AKaci SLazaar N(2018)Discovering Program Topoi via Hierarchical Agglomerative ClusteringIEEE Transactions on Reliability10.1109/TR.2018.282813567:3(758-770)Online publication date: Sep-2018
https://doi.org/10.1109/TR.2018.2828135
Yuan BMurali VJermaine C(2017)Abridging source codeProceedings of the ACM on Programming Languages10.1145/31338821:OOPSLA(1-26)Online publication date: 12-Oct-2017
https://dl.acm.org/doi/10.1145/3133882
Rodeghero PJiang SArmaly AMcMillan CUchitel SOrso ARobillard M(2017)Detecting user story information in developer-client conversations to generate extractive summariesProceedings of the 39th International Conference on Software Engineering10.1109/ICSE.2017.13(49-59)Online publication date: 20-May-2017
https://dl.acm.org/doi/10.1109/ICSE.2017.13

View Options

Login options

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

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Table of Contents