research-article

JDeodorant: clone refactoring

Authors:

Davood Mazinanian,

Nikolaos Tsantalis,

Raphael Stein,

Zackary ValentaAuthors Info & Claims

ICSE '16: Proceedings of the 38th International Conference on Software Engineering Companion

Pages 613 - 616

https://doi.org/10.1145/2889160.2889168

Published: 14 May 2016 Publication History

Get Access

Abstract

Code duplication is widely recognized as a potentially harmful code smell for the maintenance of software systems. In this demonstration, we present a tool, developed as part of the JDeodorant Eclipse plug-in, which offers cutting-edge features for the analysis and refactoring of clones found in Java projects. https://youtu.be/K_xAEqIEJ-4

References

[1]

K. Hotta, Y. Higo, and S. Kusumoto. Identifying, tailoring, and suggesting form template method refactoring opportunities with program dependence graph. In Proceedings of the 16th European Conference on Software Maintenance and Reengineering, pages 53--62, 2012.

Digital Library

Google Scholar

[2]

N. Meng, L. Hua, M. Kim, and K. S. McKinley. Does automated refactoring obviate systematic editing? In Proceedings of the 37th International Conference on Software Engineering - Volume 1, pages 392--402, 2015.

Digital Library

Google Scholar

[3]

G. Qiao. Mining and analysis of control structure variant clones. Master's thesis, Concordia University, April 2015.

Google Scholar

[4]

C. Roy, M. Zibran, and R. Koschke. The vision of software clone management: Past, present, and future. In Proceedings of the IEEE Conference on Software Maintenance, Reengineering and Reverse Engineering, pages 18--33, 2014.

Google Scholar

[5]

R. Tairas and J. Gray. Increasing clone maintenance support by unifying clone detection and refactoring activities. Inf. Softw. Technol., 54(12): 1297--1307, Dec. 2012.

Digital Library

Google Scholar

[6]

N. Tsantalis, D. Mazinanian, and G. P. Krishnan. Assessing the refactorability of software clones. IEEE Transactions on Software Engineering, 41(11):1055--1090, Nov 2015.

Digital Library

Google Scholar

Cited By

View all

Baumgartner NAdleh FPulvermüller E(2024)Advancing Code Smell Detection: Live Global Data Detection and Data Clumps TestcasesEvaluation of Novel Approaches to Software Engineering10.1007/978-3-031-64182-4_11(230-250)Online publication date: 10-Jul-2024
https://doi.org/10.1007/978-3-031-64182-4_11
Le Dilavrec QKhelladi DBlouin AJézéquel JChandra SBlincoe KTonella P(2023)HyperDiff: Computing Source Code Diffs at ScaleProceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering10.1145/3611643.3616312(288-299)Online publication date: 30-Nov-2023
https://dl.acm.org/doi/10.1145/3611643.3616312
Wang XXiao LYu TWoepse AWong S(2023)From Inheritance to Mockito: An Automatic Refactoring ApproachIEEE Transactions on Software Engineering10.1109/TSE.2022.323185049:4(2791-2814)Online publication date: 1-Apr-2023
https://doi.org/10.1109/TSE.2022.3231850
Show More Cited By

Index Terms

JDeodorant: clone refactoring
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

Research on the Tools of Clone Code Refactoring
ICMSS 2019: Proceedings of the 2019 3rd International Conference on Management Engineering, Software Engineering and Service Sciences

Clone code is the code fragment that is identical or similar in syntax or semantics, which has great impact on software development and maintenance. According to the large amount of clone code in software and its complex changes, researchers have ...
CP-Miner: Finding Copy-Paste and Related Bugs in Large-Scale Software Code

Recent studies have shown that large software suites contain significant amounts of replicated code. It is assumed that some of this replication is due to copy-and-paste activity and that a significant proportion of bugs in operating systems are due to ...
An interactive ambient visualization for code smells
SOFTVIS '10: Proceedings of the 5th international symposium on Software visualization

Code smells are characteristics of software that indicate that code may have a design problem. Code smells have been proposed as a way for programmers to recognize the need for restructuring their software. Because code smells can go unnoticed while ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

ICSE '16: Proceedings of the 38th International Conference on Software Engineering Companion

May 2016

946 pages

ISBN:9781450342056

DOI:10.1145/2889160

General Chair:
Laura Dillon
Michigan State University
,
Program Chairs:
Willem Visser
Stellenbosch University, South Africa
,
Laurie Williams
North Carolina State University

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].

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 May 2016

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Funding Sources

Natural Sciences and Engineering Research Council of Canada

Conference

ICSE '16

Sponsor:

ACM
SIGSOFT
IEEE-CS\TCSE
IEEE-CS\DATC

ICSE '16: 38th International Conference on Software Engineering

May 14 - 22, 2016

Texas, Austin

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

26
Total Citations
View Citations
317
Total Downloads

Downloads (Last 12 months)3
Downloads (Last 6 weeks)0

Reflects downloads up to 24 Nov 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Baumgartner NAdleh FPulvermüller E(2024)Advancing Code Smell Detection: Live Global Data Detection and Data Clumps TestcasesEvaluation of Novel Approaches to Software Engineering10.1007/978-3-031-64182-4_11(230-250)Online publication date: 10-Jul-2024
https://doi.org/10.1007/978-3-031-64182-4_11
Le Dilavrec QKhelladi DBlouin AJézéquel JChandra SBlincoe KTonella P(2023)HyperDiff: Computing Source Code Diffs at ScaleProceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering10.1145/3611643.3616312(288-299)Online publication date: 30-Nov-2023
https://dl.acm.org/doi/10.1145/3611643.3616312
Wang XXiao LYu TWoepse AWong S(2023)From Inheritance to Mockito: An Automatic Refactoring ApproachIEEE Transactions on Software Engineering10.1109/TSE.2022.323185049:4(2791-2814)Online publication date: 1-Apr-2023
https://doi.org/10.1109/TSE.2022.3231850
Kaur MRattan D(2023)A systematic literature review on the use of machine learning in code clone researchComputer Science Review10.1016/j.cosrev.2022.10052847:COnline publication date: 1-Feb-2023
https://dl.acm.org/doi/10.1016/j.cosrev.2022.100528
Singh RBindal AKumar A(2022)Improving Software Design by Mitigating Code SmellsInternational Journal of Software Innovation10.4018/IJSI.29750310:1(1-21)Online publication date: 1-Apr-2022
https://dl.acm.org/doi/10.4018/IJSI.297503
Kanwal JMaqbool OBasit HSindhu MInoue K(2022)Historical perspective of code clone refactorings in evolving softwarePLOS ONE10.1371/journal.pone.027721617:12(e0277216)Online publication date: 1-Dec-2022
https://doi.org/10.1371/journal.pone.0277216
Le Dilavrec QKhelladi DBlouin AJézéquel J(2022)HyperAST: Enabling Efficient Analysis of Software Histories at ScaleProceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering10.1145/3551349.3560423(1-12)Online publication date: 10-Oct-2022
https://dl.acm.org/doi/10.1145/3551349.3560423
Marchezan LAssunção WMichelon GHerac EEgyed AFelfernig AFuentes L(2022)Code smell analysis in cloned Java variantsProceedings of the 26th ACM International Systems and Software Product Line Conference - Volume A10.1145/3546932.3547015(250-254)Online publication date: 12-Sep-2022
https://dl.acm.org/doi/10.1145/3546932.3547015
Xue ZJiang ZHuang CXu RHuang XHu L(2022)SEED: Semantic Graph Based Deep Detection for Type-4 CloneReuse and Software Quality10.1007/978-3-031-08129-3_8(120-137)Online publication date: 10-Jun-2022
https://doi.org/10.1007/978-3-031-08129-3_8
Wang XXiao LYu TWoepse AWong SSpinellis DGousios GChechik MDi Penta M(2021)An automatic refactoring framework for replacing test-production inheritance by mocking mechanismProceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering10.1145/3468264.3468590(540-552)Online publication date: 20-Aug-2021
https://dl.acm.org/doi/10.1145/3468264.3468590
Show More Cited By

View Options

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

Research on the Tools of Clone Code Refactoring

CP-Miner: Finding Copy-Paste and Related Bugs in Large-Scale Software Code

An interactive ambient visualization for code smells