research-article

Using software birthmarks and clustering to identify similar classes and major functionalities

Authors:

Matt Beck,

James WaldenAuthors Info & Claims

ACMSE '18: Proceedings of the 2018 ACM Southeast Conference

Article No.: 11, Pages 1 - 7

https://doi.org/10.1145/3190645.3190677

Published: 29 March 2018 Publication History

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Abstract

Software birthmarks are a class of software metrics designed to identify copies of software. An article published in 2006 examined additional applications of software birthmarks. The article described an experiment using software birthmarks to identify similar classes and major functionalities in software applications. This study replicates and extends that experiment, using a modern software birthmark tool and larger dataset, while improving the precision of the research questions and methodologies used in the original article. We found that one of the conclusions of the original article could be replicated while the the other conclusion could not. While software birthmarks provide an effective method for identifying similar class files, they do not offer a reliable, objective, and generalizable method for finding major functionalities in a software release.

References

[1]

ArgoUML. 2017. Welcome to ArgoUML. (2017). Retrieved 2017-04-19 from http://argouml.tigris.org/

Google Scholar

[2]

Takeshi Kakimoto, Akito Monden, Yasutaka Kamei, Haruaki Tamada, Masateru Tsunoda, and Ken-ichi Matsumoto. 2006. Using software birthmarks to identify similar classes and major functionalities. In Proceedings of the 2006 international workshop on Mining software repositories. ACM, 171--172.

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[3]

Haruki Tamada. 2007. jbirth - A Tool for Comparing Birthmarks Extracted from Java Class Files. (2007). Retrieved 2017-04-19 from http://se-naist.jp/jbirth/

Google Scholar

[4]

Haruki Tamada. 2010. Stigmata - Java birthmark toolkit. (2010). Retrieved 2017-04-19 from http://stigmata.osdn.jp/

Google Scholar

[5]

Haruaki Tamada, Masahide Nakamura, Akito Monden, and Ken-ichi Matsumoto. 2004. Design and evaluation of birthmarks for detecting theft of java programs. In IASTED Conf. on Software Engineering. 569--574.

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Cited By

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Cruz MBernardez BDuran AGalindo JRuiz-Cortes A(2020)Replication of Studies in Empirical Software Engineering: A Systematic Mapping Study, From 2013 to 2018IEEE Access10.1109/ACCESS.2019.29521918(26773-26791)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2019.2952191
Nazir SShahzad SMukhtar N(2019)Software Birthmark Design and Estimation: A Systematic Literature ReviewArabian Journal for Science and Engineering10.1007/s13369-019-03718-944:4(3905-3927)Online publication date: 16-Jan-2019
https://doi.org/10.1007/s13369-019-03718-9

Index Terms

Using software birthmarks and clustering to identify similar classes and major functionalities
1. Software and its engineering
  1. Software organization and properties
    1. Extra-functional properties
      1. Software reliability

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Published In

ACMSE '18: Proceedings of the 2018 ACM Southeast Conference

March 2018

246 pages

ISBN:9781450356961

DOI:10.1145/3190645

Conference Chair:
Ka-Wing Wong
Eastern Kentucky University
,
Program Chair:
Chi Shen
Kentucky State University
,
Publications Chair:
Dana Brown
Bluegrass Community & Technical College

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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Association for Computing Machinery

New York, NY, United States

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Published: 29 March 2018

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ACM SE '18: Southeast Conference

March 29 - 31, 2018

Kentucky, Richmond

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ACMSE '18 Paper Acceptance Rate 34 of 41 submissions, 83%;

Overall Acceptance Rate 502 of 1,023 submissions, 49%

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Cruz MBernardez BDuran AGalindo JRuiz-Cortes A(2020)Replication of Studies in Empirical Software Engineering: A Systematic Mapping Study, From 2013 to 2018IEEE Access10.1109/ACCESS.2019.29521918(26773-26791)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2019.2952191
Nazir SShahzad SMukhtar N(2019)Software Birthmark Design and Estimation: A Systematic Literature ReviewArabian Journal for Science and Engineering10.1007/s13369-019-03718-944:4(3905-3927)Online publication date: 16-Jan-2019
https://doi.org/10.1007/s13369-019-03718-9

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Using software birthmarks to identify similar classes and major functionalities

Scaling Up Software Birthmarks Using Fuzzy Hashing

Software Cartography: thematic software visualization with consistent layout

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