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General info

RefactoringMiner is a library/API written in Java that can detect refactorings applied in the history of a Java project.

Currently, it supports the detection of the following refactorings:

supported by RefactoringMiner 1.0 and newer versions

  1. Extract Method
  2. Inline Method
  3. Rename Method
  4. Move Method
  5. Move Attribute
  6. Pull Up Method
  7. Pull Up Attribute
  8. Push Down Method
  9. Push Down Attribute
  10. Extract Superclass
  11. Extract Interface
  12. Move Class
  13. Rename Class
  14. Extract and Move Method
  15. Rename Package Change Package (Move, Rename, Split, Merge)

supported by RefactoringMiner 2.0 and newer versions

  1. Move and Rename Class
  2. Extract Class
  3. Extract Subclass
  4. Extract Variable
  5. Inline Variable
  6. Parameterize Variable
  7. Rename Variable
  8. Rename Parameter
  9. Rename Attribute
  10. Move and Rename Attribute
  11. Replace Variable with Attribute
  12. Replace Attribute (with Attribute)
  13. Merge Variable
  14. Merge Parameter
  15. Merge Attribute
  16. Split Variable
  17. Split Parameter
  18. Split Attribute
  19. Change Variable Type
  20. Change Parameter Type
  21. Change Return Type
  22. Change Attribute Type
  23. Extract Attribute
  24. Move and Rename Method
  25. Move and Inline Method

supported by RefactoringMiner 2.1 and newer versions

  1. Add Method Annotation
  2. Remove Method Annotation
  3. Modify Method Annotation
  4. Add Attribute Annotation
  5. Remove Attribute Annotation
  6. Modify Attribute Annotation
  7. Add Class Annotation
  8. Remove Class Annotation
  9. Modify Class Annotation
  10. Add Parameter Annotation
  11. Remove Parameter Annotation
  12. Modify Parameter Annotation
  13. Add Variable Annotation
  14. Remove Variable Annotation
  15. Modify Variable Annotation
  16. Add Parameter
  17. Remove Parameter
  18. Reorder Parameter
  19. Add Thrown Exception Type
  20. Remove Thrown Exception Type
  21. Change Thrown Exception Type
  22. Change Method Access Modifier

supported by RefactoringMiner 2.2 and newer versions

  1. Change Attribute Access Modifier
  2. Encapsulate Attribute
  3. Parameterize Attribute
  4. Replace Attribute with Variable
  5. Add Method Modifier (final, static, abstract, synchronized)
  6. Remove Method Modifier (final, static, abstract, synchronized)
  7. Add Attribute Modifier (final, static, transient, volatile)
  8. Remove Attribute Modifier (final, static, transient, volatile)
  9. Add Variable Modifier (final)
  10. Add Parameter Modifier (final)
  11. Remove Variable Modifier (final)
  12. Remove Parameter Modifier (final)
  13. Change Class Access Modifier
  14. Add Class Modifier (final, static, abstract)
  15. Remove Class Modifier (final, static, abstract)
  16. Move Package
  17. Split Package
  18. Merge Package
  19. Localize Parameter
  20. Change Type Declaration Kind (class, interface, enum)
  21. Collapse Hierarchy
  22. Replace Loop with Pipeline
  23. Replace Anonymous with Lambda

supported by RefactoringMiner 2.3 and newer versions

  1. Merge Class
  2. Inline Attribute
  3. Replace Pipeline with Loop

supported by RefactoringMiner 2.4 and newer versions

  1. Split Class
  2. Split Conditional
  3. Invert Condition
  4. Merge Conditional
  5. Merge Catch
  6. Merge Method
  7. Split Method

supported by RefactoringMiner 3.0 and newer versions

  1. Move Code (between methods)
  2. Replace Anonymous with Class
  3. Parameterize Test (JUnit 5 @ParameterizedTest with @ValueSource)
  4. Assert Throws

Contributors

Current precision and recall

As of November 20, 2023 the precision and recall of the tool on an oracle consisting of 546 commits from 187 open-source projects is:

Refactoring Type TP FP FN Precision Recall
Total 11882 23 255 0.998 0.979
Extract Method 1006 1 24 0.999 0.977
Rename Class 53 0 2 1.000 0.964
Move Attribute 242 4 10 0.984 0.960
Move And Rename Attribute 12 0 0 1.000 1.000
Replace Attribute 27 0 1 1.000 0.964
Rename Method 378 4 22 0.990 0.945
Inline Method 116 0 2 1.000 0.983
Move Method 350 3 9 0.992 0.975
Move And Rename Method 124 0 5 1.000 0.961
Pull Up Method 289 0 5 1.000 0.983
Move Class 1095 0 4 1.000 0.996
Move And Rename Class 34 0 1 1.000 0.971
Move Source Folder 3 0 0 1.000 1.000
Pull Up Attribute 128 0 1 1.000 0.992
Push Down Attribute 33 0 0 1.000 1.000
Push Down Method 45 0 1 1.000 0.978
Extract Interface 22 0 0 1.000 1.000
Extract Superclass 73 0 0 1.000 1.000
Extract Subclass 4 0 0 1.000 1.000
Extract Class 96 0 0 1.000 1.000
Extract And Move Method 101 0 69 1.000 0.594
Move And Inline Method 13 0 4 1.000 0.765
Rename Package 16 0 0 1.000 1.000
Move Package 10 0 0 1.000 1.000
Extract Variable 258 0 0 1.000 1.000
Extract Attribute 21 0 0 1.000 1.000
Inline Variable 99 0 0 1.000 1.000
Inline Attribute 9 0 0 1.000 1.000
Rename Variable 325 3 11 0.991 0.967
Rename Parameter 486 2 26 0.996 0.949
Rename Attribute 134 0 15 1.000 0.899
Merge Variable 6 0 0 1.000 1.000
Merge Parameter 28 0 0 1.000 1.000
Merge Attribute 5 0 0 1.000 1.000
Split Variable 3 0 0 1.000 1.000
Split Parameter 7 0 0 1.000 1.000
Split Attribute 2 0 0 1.000 1.000
Replace Variable With Attribute 58 0 0 1.000 1.000
Parameterize Variable 111 0 0 1.000 1.000
Localize Parameter 27 0 0 1.000 1.000
Parameterize Attribute 24 0 0 1.000 1.000
Change Return Type 426 0 12 1.000 0.973
Change Variable Type 795 2 7 0.997 0.991
Change Parameter Type 643 1 11 0.998 0.983
Change Attribute Type 228 0 8 1.000 0.966
Add Method Annotation 330 0 3 1.000 0.991
Remove Method Annotation 99 0 0 1.000 1.000
Modify Method Annotation 29 0 0 1.000 1.000
Add Attribute Annotation 62 0 1 1.000 0.984
Remove Attribute Annotation 18 0 0 1.000 1.000
Modify Attribute Annotation 7 0 0 1.000 1.000
Add Class Annotation 52 0 0 1.000 1.000
Remove Class Annotation 20 0 0 1.000 1.000
Modify Class Annotation 34 0 0 1.000 1.000
Add Parameter Annotation 34 0 0 1.000 1.000
Remove Parameter Annotation 4 0 0 1.000 1.000
Modify Parameter Annotation 2 0 0 1.000 1.000
Add Parameter 974 2 1 0.998 0.999
Remove Parameter 336 0 0 1.000 1.000
Reorder Parameter 9 0 0 1.000 1.000
Add Variable Annotation 1 0 0 1.000 1.000
Remove Variable Annotation 4 0 0 1.000 1.000
Add Thrown Exception Type 41 0 0 1.000 1.000
Remove Thrown Exception Type 245 0 0 1.000 1.000
Change Thrown Exception Type 9 0 0 1.000 1.000
Change Method Access Modifier 331 0 0 1.000 1.000
Change Attribute Access Modifier 223 0 0 1.000 1.000
Encapsulate Attribute 49 0 0 1.000 1.000
Add Method Modifier 87 0 0 1.000 1.000
Remove Method Modifier 110 0 0 1.000 1.000
Add Attribute Modifier 136 0 0 1.000 1.000
Remove Attribute Modifier 142 1 0 0.993 1.000
Add Variable Modifier 130 0 0 1.000 1.000
Remove Variable Modifier 62 0 0 1.000 1.000
Change Class Access Modifier 78 0 0 1.000 1.000
Add Class Modifier 35 0 0 1.000 1.000
Remove Class Modifier 44 0 0 1.000 1.000
Split Package 4 0 0 1.000 1.000
Merge Package 2 0 0 1.000 1.000
Change Type Declaration Kind 6 0 0 1.000 1.000
Collapse Hierarchy 1 0 0 1.000 1.000
Replace Loop With Pipeline 35 0 0 1.000 1.000
Replace Pipeline With Loop 2 0 0 1.000 1.000
Replace Anonymous With Lambda 45 0 0 1.000 1.000
Merge Class 6 0 0 1.000 1.000
Split Class 3 0 0 1.000 1.000
Split Conditional 17 0 0 1.000 1.000
Invert Condition 12 0 0 1.000 1.000
Merge Conditional 13 0 0 1.000 1.000
Merge Catch 2 0 0 1.000 1.000
Merge Method 3 0 0 1.000 1.000
Split Method 5 0 0 1.000 1.000
Move Code 16 0 0 1.000 1.000
Replace Anonymous With Class 8 0 0 1.000 1.000

How to build RefactoringMiner

Since release 3.0.0, RefactoringMiner requires Java 17 or newer and Gradle 7.4 or newer.

In order to build the project, run ./gradlew jar (or gradlew jar, in Windows) in the project's root directory. Alternatively, you can generate a complete distribution zip including all runtime dependencies running ./gradlew distZip.

You can also work with the project with Eclipse IDE. First, run ./gradlew eclipse to generate Eclipse project metadata files. Then, import it into Eclipse using the Import Existing Project feature.

How to test RefactoringMiner

As of release 3.0, all RefactoringMiner tests have been migrated to JUnit 5 and do not require any more to clone repositories. Moreover, all unit tests can be executed in parallel. The more CPU cores, the faster the test suites will execute. The available test suites are:

How to use RefactoringMiner as a maven dependency

Maven Central

Since version 2.0, RefactoringMiner is available in the Maven Central Repository. In order to use RefactoringMiner as a maven dependency in your project, add the following snippet to your project's build configuration file:

pom.xml

<dependency>
  <groupId>com.github.tsantalis</groupId>
  <artifactId>refactoring-miner</artifactId>
  <version>3.0.1</version>
</dependency>

build.gradle

implementation 'com.github.tsantalis:refactoring-miner:3.0.1'

Chrome Extension

If you want to get refactoring information when inspecting a commit on GitHub, you can install our Refactoring Aware Commit Review Chrome Extension.

The Chrome extension can detect refactorings for public projects and commits matching the following URL patterns:

  • https://github.com/user/project/commit/id
  • https://github.com/user/project/pull/id/commits/id

Refactoring Aware Commit Review Chrome Extension

Research

How to cite RefactoringMiner

If you are using RefactoringMiner in your research, please cite the following papers:

Nikolaos Tsantalis, Matin Mansouri, Laleh Eshkevari, Davood Mazinanian, and Danny Dig, "Accurate and Efficient Refactoring Detection in Commit History," 40th International Conference on Software Engineering (ICSE 2018), Gothenburg, Sweden, May 27 - June 3, 2018.

@inproceedings{Tsantalis:ICSE:2018:RefactoringMiner,
author = {Tsantalis, Nikolaos and Mansouri, Matin and Eshkevari, Laleh M. and Mazinanian, Davood and Dig, Danny},
title = {Accurate and Efficient Refactoring Detection in Commit History},
booktitle = {Proceedings of the 40th International Conference on Software Engineering},
series = {ICSE '18},
year = {2018},
isbn = {978-1-4503-5638-1},
location = {Gothenburg, Sweden},
pages = {483--494},
numpages = {12},
url = {http://doi.acm.org/10.1145/3180155.3180206},
doi = {10.1145/3180155.3180206},
acmid = {3180206},
publisher = {ACM},
address = {New York, NY, USA},
keywords = {Git, Oracle, abstract syntax tree, accuracy, commit, refactoring},
}

Nikolaos Tsantalis, Ameya Ketkar, and Danny Dig, "RefactoringMiner 2.0," IEEE Transactions on Software Engineering, vol. 48, no. 3, pp. 930-950, March 2022.

@article{Tsantalis:TSE:2020:RefactoringMiner2.0,
author={Tsantalis, Nikolaos and Ketkar, Ameya and Dig, Danny},
title={RefactoringMiner 2.0},
journal={IEEE Transactions on Software Engineering},
year={2022},
volume={48},
number={3},
pages={930-950},
doi={10.1109/TSE.2020.3007722}
}

Talks about RefactoringMiner

Keynote at the Fifth International Workshop on Refactoring (IWoR 2021)

2021-11-14 22_16_25-Greenshot

Papers using RefactoringMiner

RefactoringMiner has been used in the following studies:

  1. Danilo Silva, Nikolaos Tsantalis, and Marco Tulio Valente, "Why We Refactor? Confessions of GitHub Contributors," 24th ACM SIGSOFT International Symposium on the Foundations of Software Engineering (FSE 2016), Seattle, WA, USA, November 13-18, 2016.
  2. Davood Mazinanian, Ameya Ketkar, Nikolaos Tsantalis, and Danny Dig, "Understanding the use of lambda expressions in Java", Proceedings of the ACM on Programming Languages, vol. 1, issue OOPSLA, Article 85, 31 pages, October 2017.
  3. Diego Cedrim, Alessandro Garcia, Melina Mongiovi, Rohit Gheyi, Leonardo Sousa, Rafael de Mello, Baldoino Fonseca, Márcio Ribeiro, and Alexander Chávez, "Understanding the impact of refactoring on smells: a longitudinal study of 23 software projects," 11th Joint Meeting on Foundations of Software Engineering (ESEC/FSE 2017), Paderborn, Germany, September 4-8, 2017.
  4. Alexander Chávez, Isabella Ferreira, Eduardo Fernandes, Diego Cedrim, and Alessandro Garcia, "How does refactoring affect internal quality attributes?: A multi-project study," 31st Brazilian Symposium on Software Engineering (SBES 2017), Fortaleza, CE, Brazil, September 20-22, 2017.
  5. Navdeep Singh, and Paramvir Singh, "How Do Code Refactoring Activities Impact Software Developers' Sentiments? - An Empirical Investigation Into GitHub Commits," 24th Asia-Pacific Software Engineering Conference (APSEC 2017), Nanjing, Jiangsu, China, December 4-8, 2017.
  6. Mehran Mahmoudi, and Sarah Nadi, "The Android Update Problem: An Empirical Study," 15th International Conference on Mining Software Repositories (MSR 2018), Gothenburg, Sweden, May 28-29, 2018.
  7. Anthony Peruma, Mohamed Wiem Mkaouer, Michael J. Decker, and Christian D. Newman, "An empirical investigation of how and why developers rename identifiers," 2nd International Workshop on Refactoring (IWoR 2018), Montpellier, France, September 4, 2018.
  8. Patanamon Thongtanunam, Weiyi Shang, and Ahmed E. Hassan, "Will this clone be short-lived? Towards a better understanding of the characteristics of short-lived clones," Empirical Software Engineering, Volume 24, Issue 2, pp. 937–972, April 2019.
  9. Isabella Ferreira, Eduardo Fernandes, Diego Cedrim, Anderson Uchôa, Ana Carla Bibiano, Alessandro Garcia, João Lucas Correia, Filipe Santos, Gabriel Nunes, Caio Barbosa, Baldoino Fonseca, and Rafael de Mello, "The buggy side of code refactoring: understanding the relationship between refactorings and bugs," 40th International Conference on Software Engineering: Companion Proceedings (ICSE 2018), Gothenburg, Sweden, May 27-June 3, 2018.
  10. Matheus Paixao, "Software Restructuring: Understanding Longitudinal Architectural Changes and Refactoring," Ph.D. thesis, Computer Science Department, University College London, July 2018.
  11. Mehran Mahmoudi, Sarah Nadi, and Nikolaos Tsantalis, "Are Refactorings to Blame? An Empirical Study of Refactorings in Merge Conflicts," 26th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2019), Hangzhou, China, February 24-27, 2019.
  12. Bin Lin, Csaba Nagy, Gabriele Bavota and Michele Lanza, "On the Impact of Refactoring Operations on Code Naturalness," 26th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2019), Hangzhou, China, February 24-27, 2019.
  13. Sarah Fakhoury, Devjeet Roy, Sk. Adnan Hassan, and Venera Arnaoudova, "Improving Source Code Readability: Theory and Practice," 27th IEEE/ACM International Conference on Program Comprehension (ICPC 2019), Montreal, QC, Canada, May 25-26, 2019.
  14. Carmine Vassallo, Giovanni Grano, Fabio Palomba, Harald C. Gall, and Alberto Bacchelli, "A large-scale empirical exploration on refactoring activities in open source software projects," Science of Computer Programming, Volume 180, Pages 1-15, July 2019.
  15. Eman Abdullah AlOmar, Mohamed Wiem Mkaouer, and Ali Ouni, "Can refactoring be self-affirmed?: An exploratory study on how developers document their refactoring activities in commit messages," 3rd International Workshop on Refactoring (IWOR 2019), Montreal, QC, Canada, May 28, 2019.
  16. Ana Carla Bibiano, Eduardo Fernandes, Daniel Oliveira, Alessandro Garcia, Marcos Kalinowski, Baldoino Fonseca, Roberto Oliveira, Anderson Oliveira, and Diego Cedrim, "A Quantitative Study on Characteristics and Effect of Batch Refactoring on Code Smells," 13th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM 2019), Porto de Galinhas, Brazil, September 16-20, 2019.
  17. Eman Abdullah AlOmar, Mohamed Wiem Mkaouer, Ali Ouni, and Marouane Kessentini, "On the Impact of Refactoring on the Relationship between Quality Attributes and Design Metrics," 13th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM 2019), Porto de Galinhas, Brazil, September 16-20, 2019.
  18. Edmilson Campos Neto, Daniel Alencar da Costa, and Uirá Kulesza, "Revisiting and Improving SZZ Implementations," 13th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM 2019), Porto de Galinhas, Brazil, September 16-20, 2019.
  19. Valentina Lenarduzzi, Nyyti Saarimäki, and Davide Taibi, "The Technical Debt Dataset," 15th International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE 2019), Porto de Galinhas, Brazil, September 18, 2019.
  20. Anthony Peruma, "A preliminary study of Android refactorings," 6th International Conference on Mobile Software Engineering and Systems (MOBILESoft 2019), Montreal, Quebec, Canada, May 25-26, 2019.
  21. Anthony Peruma, Mohamed Wiem Mkaouer, Michael J. Decker, and Christian D. Newman, "Contextualizing Rename Decisions using Refactorings and Commit Messages," 19th IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM 2019), Cleveland, OH, USA, September 30-October 1, 2019.
  22. Soumaya Rebai, Oussama Ben Sghaier, Vahid Alizadeh, Marouane Kessentini, and Meriem Chater, "Interactive Refactoring Documentation Bot," 19th IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM 2019), Cleveland, OH, USA, September 30-October 1, 2019.
  23. Matheus Paixao, and Paulo Henrique Maia, "Rebasing in Code Review Considered Harmful: A Large-Scale Empirical Investigation," 19th IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM 2019), Cleveland, OH, USA, September 30-October 1, 2019.
  24. Willian Oizumi, Leonardo Da Silva Sousa, Anderson Oliveira, Luiz Matheus Alencar, Alessandro Garcia, Thelma E. Colanzi and Roberto Oliveira, "On the density and diversity of degradation symptoms in refactored classes: A multi-case study," 30th International Symposium on Software Reliability Engineering (ISSRE 2019), Berlin, Germany, October 28-31, 2019.
  25. Marcos César de Oliveira, Davi Freitas, Rodrigo Bonifácio, Gustavo Pinto, and David Lo, "Finding Needles in a Haystack: Leveraging Co-change Dependencies to Recommend Refactorings," Journal of Systems and Software, Volume 158, December 2019.
  26. Walter Lucas, Rodrigo Bonifácio, Edna Dias Canedo, Diego Marcílio, and Fernanda Lima, "Does the Introduction of Lambda Expressions Improve the Comprehension of Java Programs?," XXXIII Brazilian Symposium on Software Engineering (SBES 2019), Salvador, Brazil, September 23-27, 2019.
  27. Bo Shen, Wei Zhang, Haiyan Zhao, Guangtai Liang, Zhi Jin, and Qianxiang Wang, "IntelliMerge: A Refactoring-Aware Software Merging Technique," Proceedings of the ACM on Programming Languages, vol. 3, OOPSLA, Article 170, October 2019.
  28. Martina Iammarino, Fiorella Zampetti, Lerina Aversano, and Massimiliano Di Penta, "Self-Admitted Technical Debt Removal and Refactoring Actions: Co-Occurrence or More?," 35th IEEE International Conference on Software Maintenance and Evolution (ICSME 2019), Cleveland, OH, USA, September 29-October 4, 2019.
  29. Ally S. Nyamawe, Hui Liu, Nan Niu, Qasim Umer, and Zhendong Niu, "Automated Recommendation of Software Refactorings based on Feature Requests," 27th IEEE International Requirements Engineering Conference (RE 2019), Jeju Island, South Korea, September 23-27, 2019.
  30. Maurício Aniche, Erick Maziero, Rafael Durelli, and Vinicius Durelli, "The Effectiveness of Supervised Machine Learning Algorithms in Predicting Software Refactoring," IEEE Transactions on Software Engineering, 2020.
  31. Ana Bibiano, Vinicius Soares, Daniel Coutinho, Eduardo Fernandes, João Correia, Kleber Tarcísio, Anderson Oliveira, Alessandro Garcia, Rohit Gheyi, Marcio Ribeiro, Baldoino Fonseca, Caio Barbosa, and Daniel Oliveira, "How Does Incomplete Composite Refactoring Affect Internal Quality Attributes?," 28th IEEE International Conference on Program Comprehension (ICPC 2020), Seoul, South Korea, 2020.
  32. Leonardo Sousa, Willian Oizumi, Alessandro Garcia, Anderson Oliveira, Diego Cedrim, and Carlos Lucena, "When Are Smells Indicators of Architectural Refactoring Opportunities? A Study of 50 Software Projects," 28th IEEE International Conference on Program Comprehension (ICPC 2020), Seoul, South Korea, 2020.
  33. Devjeet Roy, Sarah Fakhoury, John Lee, and Venera Arnaoudova, "A Model to Detect Readability Improvements in Incremental Changes," 28th IEEE International Conference on Program Comprehension (ICPC 2020), Seoul, South Korea, 2020.
  34. Akira Fujimoto, Yoshiki Higo, Junnosuke Matsumoto, and Shinji Kusumoto, "Staged Tree Matching for Detecting Code Move across Files," 28th IEEE International Conference on Program Comprehension (ICPC 2020), Seoul, South Korea, 2020.
  35. Matheus Paixão, Anderson Uchôa, Ana Carla Bibiano, Daniel Oliveira, Alessandro Garcia, Jens Krinke, and Emilio Arvonio, "Behind the Intents: An In-depth Empirical Study on Software Refactoring in Modern Code Review," 17th International Conference on Mining Software Repositories (MSR 2020), Seoul, South Korea, 2020.
  36. Leonardo da Silva Sousa, Diego Cedrim, Alessandro Garcia, Willian Oizumi, Ana Carla Bibiano, Daniel Oliveira, Miryung Kim, and Anderson Oliveira, "Characterizing and Identifying Composite Refactorings: Concepts, Heuristics and Patterns," 17th International Conference on Mining Software Repositories (MSR 2020), Seoul, South Korea, 2020.
  37. Anthony Peruma, Christian D. Newman, Mohamed Wiem Mkaouer, Ali Ouni, and Fabio Palomba, "An Exploratory Study on the Refactoring of Unit Test Files in Android Applications," 4th International Workshop on Refactoring (IWoR 2020), Seoul, South Korea, 2020.
  38. Eman Abdullah AlOmar, Anthony Peruma, Christian D. Newman, Mohamed Wiem Mkaouer, and Ali Ouni, "On the Relationship Between Developer Experience and Refactoring: An Exploratory Study and Preliminary Results," 4th International Workshop on Refactoring (IWoR 2020), Seoul, South Korea, 2020.
  39. Yoshiki Higo, Shinpei Hayashi, and Shinji Kusumoto, "On Tracking Java Methods with Git Mechanisms," Journal of Systems and Software, Volume 165, July 2020.
  40. Eduardo Fernandes, Alexander Chávez, Alessandro Garcia, Isabella Ferreira, Diego Cedrim, Leonardo Sousa, and Willian Oizumi, "Refactoring Effect on Internal Quality Attributes: What Haven't They Told You Yet?," Information and Software Technology, 2020.
  41. Rrezarta Krasniqi, and Jane Cleland-Huang, "Enhancing Source Code Refactoring Detection with Explanations from Commit Messages," IEEE 27th International Conference on Software Analysis, Evolution and Reengineering (SANER 2020), London, ON, Canada, February 18-21, 2020.
  42. Anthony Peruma, Mohamed Wiem Mkaouer, Michael J.Decker, and Christian D.Newman, "Contextualizing rename decisions using refactorings, commit messages, and data types," Journal of Systems and Software, Volume 169, November 2020.
  43. Lerina Aversano, Umberto Carpenito, and Martina Iammarino, "An Empirical Study on the Evolution of Design Smells," Information, vol. 11, no. 7:348, 2020.
  44. Jevgenija Pantiuchina, Fiorella Zampetti, Simone Scalabrino, Valentina Piantadosi, Rocco Oliveto, Gabriele Bavota, and Massimiliano Di Penta, "Why Developers Refactor Source Code: A Mining-based Study," ACM Transactions on Software Engineering and Methodology, Volume 29, Issue 4, Article 29, September 2020.
  45. Ally S. Nyamawe, Hui Liu, Nan Niu, Qasim Umer, and Zhendong Niu, "Feature requests-based recommendation of software refactorings," Empirical Software Engineering, Volume 25, pp. 4315–4347, 2020.
  46. Eman Abdullah AlOmar, Mohamed Wiem Mkaouer, and Ali Ouni, "Toward the automatic classification of Self-Affirmed Refactoring," Journal of Systems and Software, Volume 171, January 2021.
  47. Vinícius Soares, Anderson Oliveira, Juliana Alves Pereira, Ana Carla Bibano, Alessandro Garcia, Paulo Roberto Farah, Silvia Regina Vergilio, Marcelo Schots, Caio Silva, Daniel Coutinho, Daniel Oliveira, and Anderson Uchôa, "On the Relation between Complexity, Explicitness, Effectiveness of Refactorings and Non-Functional Concerns," 34th Brazilian Symposium on Software Engineering (SBES 2020), October 19–23, 2020.
  48. Willian Oizumi, Diego Cedrim, Leonardo Sousa, Ana Carla Bibiano, Anderson Oliveira, Alessandro Garcia, and Daniel Oliveira, "Recommending Composite Refactorings for Smell Removal: Heuristics and Evaluation," 34th Brazilian Symposium on Software Engineering (SBES 2020), October 19–23, 2020.
  49. Massimiliano Di Penta, Gabriele Bavota, and Fiorella Zampetti, "On the Relationship between Refactoring Actions and Bugs: A Differentiated Replication," ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2020), Sacramento, California, United States, November 8-13, 2020.
  50. Ameya Ketkar, Nikolaos Tsantalis, and Danny Dig, "Understanding Type Changes in Java," ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2020), Sacramento, California, United States, November 8-13, 2020.
  51. Zhongxin Liu, Xin Xia, Meng Yan, and Shanping Li, "Automating Just-In-Time Comment Updating," 35th IEEE/ACM International Conference on Automated Software Engineering (ASE 2020), September 21–25, 2020.
  52. Zadia Codabux and Christopher Dutchyn, "Profiling Developers Through the Lens of Technical Debt," ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM 2020), October 8–9, 2020, Bari, Italy.
  53. Yiming Tang, Raffi Khatchadourian, Mehdi Bagherzadeh, Rhia Singh, Ajani Stewart, and Anita Raja, "An Empirical Study of Refactorings and Technical Debt in Machine Learning Systems," 43rd International Conference on Software Engineering (ICSE 2021), Madrid, Spain, May 25-28, 2021.
  54. Dong Jae Kim, Nikolaos Tsantalis, Tse-Hsun (Peter) Chen, and Jinqiu Yang, "Studying Test Annotation Maintenance in the Wild," 43rd International Conference on Software Engineering (ICSE 2021), Madrid, Spain, May 25-28, 2021.
  55. Yanjie Jiang, Hui Liu, Nan Niu, Lu Zhang, and Yamin Hu, "Extracting Concise Bug-Fixing Patches from Human-Written Patches in Version Control Systems," 43rd International Conference on Software Engineering (ICSE 2021), Madrid, Spain, May 25-28, 2021.
  56. Giovanni Rosa, Luca Pascarella, Simone Scalabrino, Rosalia Tufano, Gabriele Bavota, Michele Lanza, and Rocco Oliveto, "Evaluating SZZ Implementations Through a Developer-informed Oracle," 43rd International Conference on Software Engineering (ICSE 2021), Madrid, Spain, May 25-28, 2021.
  57. Bo Shen, Wei Zhang, Christian Kästner, Haiyan Zhao, Zhao Wei, Guangtai Liang, and Zhi Jin, "SmartCommit: a graph-based interactive assistant for activity-oriented commits," 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2021), Athens, Greece, August 23-28, 2021.
  58. Dimitrios Tsoukalas, Nikolaos Mittas, Alexander Chatzigeorgiou, Dionysios Kehagias, Apostolos Ampatzoglou, Theodoros Amanatidis, and Lefteris Angelis, "Machine Learning for Technical Debt Identification," IEEE Transactions on Software Engineering, 2021.
  59. Luca Traini, Daniele Di Pompeo, Michele Tucci, Bin Lin, Simone Scalabrino, Gabriele Bavota, Michele Lanza, Rocco Oliveto, and Vittorio Cortellessa, "How Software Refactoring Impacts Execution Time," ACM Transactions on Software Engineering and Methodology, Volume 31, Issue 2, Article 25, pp. 1-23, April 2022.
  60. Jarosław Pokropiński, Jakub Gąsiorek, Patryk Kramarczyk, and Lech Madeyski, "SZZ Unleashed-RA-C: An Improved Implementation of the SZZ Algorithm and Empirical Comparison with Existing Open Source Solutions," Developments in Information & Knowledge Management for Business Applications : Volume 3, Springer International Publishing, pp. 181-199, 2022.
  61. Eman Abdullah AlOmar, Jiaqian Liu, Kenneth Addo, Mohamed Wiem Mkaouer, Christian Newman, Ali Ouni, and Zhe Yu, "On the documentation of refactoring types," Automated Software Engineering, Volume 29, Article 9, 2022.
  62. Giulia Sellitto, Emanuele Iannone, Zadia Codabux, Valentina Lenarduzzi, Andrea De Lucia, Fabio Palomba, and Filomena Ferrucci, "Toward Understanding the Impact of Refactoring on Program Comprehension," 29th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2022), Honolulu, Hawaii, USA, March 15-18, 2022.
  63. Eman Abdullah AlOmar, Tianjia Wang, Vaibhavi Raut, Mohamed Wiem Mkaouer, Christian Newman, and Ali Ouni, "Refactoring for Reuse: An Empirical Study," arXiv:2111.07002v1, 13 Nov 2021.
  64. Anton Ivanov, Zarina Kurbatova, Yaroslav Golubev, Andrey Kirilenko, and Timofey Bryksin, "AntiCopyPaster: Extracting Code Duplicates As Soon As They Are Introduced in the IDE," arXiv:2112.15230v1, 30 Dec 2021.
  65. Max Ellis, Sarah Nadi, and Danny Dig, "A Systematic Comparison of Two Refactoring-aware Merging Techniques," arXiv:2112.10370v1, 20 Dec 2021.

Support for other programming languages

Kotlin

Python

  • PyRef has been developed by Hassan Atwi and Bin Lin from the Software Institute at USI - Università della Svizzera Italiana, Switzerland.
  • Py-RefactoringMiner has been developed by Malinda Dilhara, a Ph.D. student in the department of Computer Science at University of Colorado Boulder under the suprevision of Danny Dig.

API usage guidelines

With a locally cloned git repository

RefactoringMiner can automatically detect refactorings in the entire history of git repositories, between specified commits or tags, or at specified commits.

In the code snippet below we demonstrate how to print all refactorings performed in the toy project https://github.com/danilofes/refactoring-toy-example.git.

GitService gitService = new GitServiceImpl();
GitHistoryRefactoringMiner miner = new GitHistoryRefactoringMinerImpl();

Repository repo = gitService.cloneIfNotExists(
    "tmp/refactoring-toy-example",
    "https://github.com/danilofes/refactoring-toy-example.git");

miner.detectAll(repo, "master", new RefactoringHandler() {
  @Override
  public void handle(String commitId, List<Refactoring> refactorings) {
    System.out.println("Refactorings at " + commitId);
    for (Refactoring ref : refactorings) {
      System.out.println(ref.toString());
    }
  }
});

You can also analyze between commits using detectBetweenCommits or between tags using detectBetweenTags. RefactoringMiner will iterate through all non-merge commits from start commit/tag to end commit/tag.

// start commit: 819b202bfb09d4142dece04d4039f1708735019b
// end commit: d4bce13a443cf12da40a77c16c1e591f4f985b47
miner.detectBetweenCommits(repo, 
    "819b202bfb09d4142dece04d4039f1708735019b", "d4bce13a443cf12da40a77c16c1e591f4f985b47",
    new RefactoringHandler() {
  @Override
  public void handle(String commitId, List<Refactoring> refactorings) {
    System.out.println("Refactorings at " + commitId);
    for (Refactoring ref : refactorings) {
      System.out.println(ref.toString());
    }
  }
});
// start tag: 1.0
// end tag: 1.1
miner.detectBetweenTags(repo, "1.0", "1.1", new RefactoringHandler() {
  @Override
  public void handle(String commitId, List<Refactoring> refactorings) {
    System.out.println("Refactorings at " + commitId);
    for (Refactoring ref : refactorings) {
      System.out.println(ref.toString());
    }
  }
});

It is possible to analyze a specifc commit using detectAtCommit instead of detectAll. The commit is identified by its SHA key, such as in the example below:

miner.detectAtCommit(repo, "05c1e773878bbacae64112f70964f4f2f7944398", new RefactoringHandler() {
  @Override
  public void handle(String commitId, List<Refactoring> refactorings) {
    System.out.println("Refactorings at " + commitId);
    for (Refactoring ref : refactorings) {
      System.out.println(ref.toString());
    }
  }
});

With two directories containing Java source code

It is possible to detect refactorings between the Java files in two directories containing the code before and after some changes. This feature supports the detection of renamed and moved classes, and automatically excludes from the analysis any files with identical contents:

GitHistoryRefactoringMiner miner = new GitHistoryRefactoringMinerImpl();
// You must provide absolute paths to the directories. Relative paths will cause exceptions.
File dir1 = new File("/home/user/tmp/v1");
File dir2 = new File("/home/user/tmp/v2");
miner.detectAtDirectories(dir1, dir2, new RefactoringHandler() {
  @Override
  public void handle(String commitId, List<Refactoring> refactorings) {
    System.out.println("Refactorings at " + commitId);
    for (Refactoring ref : refactorings) {
      System.out.println(ref.toString());
    }
  }
});
GitHistoryRefactoringMiner miner = new GitHistoryRefactoringMinerImpl();
// You must provide absolute paths to the directories. Relative paths will cause exceptions.
Path dir1 = Paths.get("/home/user/tmp/v1");
Path dir1 = Paths.get("/home/user/tmp/v2");
miner.detectAtDirectories(dir1, dir2, new RefactoringHandler() {
  @Override
  public void handle(String commitId, List<Refactoring> refactorings) {
    System.out.println("Refactorings at " + commitId);
    for (Refactoring ref : refactorings) {
      System.out.println(ref.toString());
    }
  }
});

With file contents as strings

You can provide two maps (before and after the changes) where the keys are file paths, and the values are the corresponding file contents. Each key should correspond to a file path starting from the root of the repository. For example, src/org/refactoringminer/api/GitHistoryRefactoringMiner.java.

After populating the maps, you can use the following code snippet:

GitHistoryRefactoringMiner miner = new GitHistoryRefactoringMinerImpl();
// Each key should correspond to a file path starting from the root of the repository
Map<String, String> fileContentsBefore;
Map<String, String> fileContentsAfter;
// populate the maps
miner.detectAtFileContents(fileContentsBefore, fileContentsAfter, new RefactoringHandler() {
  @Override
  public void handle(String commitId, List<Refactoring> refactorings) {
    System.out.println("Refactorings at " + commitId);
    for (Refactoring ref : refactorings) {
      System.out.println(ref.toString());
    }
  }
});

With all information fetched directly from GitHub

To use this API, please provide a valid OAuth token in the github-oauth.properties file. You can generate an OAuth token in GitHub Settings -> Developer settings -> Personal access tokens.

If you don't want to clone locally the repository, you can use the following code snippet:

GitHistoryRefactoringMiner miner = new GitHistoryRefactoringMinerImpl();
miner.detectAtCommit("https://github.com/danilofes/refactoring-toy-example.git",
    "36287f7c3b09eff78395267a3ac0d7da067863fd", new RefactoringHandler() {
  @Override
  public void handle(String commitId, List<Refactoring> refactorings) {
    System.out.println("Refactorings at " + commitId);
    for (Refactoring ref : refactorings) {
      System.out.println(ref.toString());
    }
  }
}, 10);

With a GitHub pull request

To use this API, please provide a valid OAuth token in the github-oauth.properties file. You can generate an OAuth token in GitHub Settings -> Developer settings -> Personal access tokens.

If you want to analyze all commits of a pull request, you can use the following code snippet:

GitHistoryRefactoringMiner miner = new GitHistoryRefactoringMinerImpl();
miner.detectAtPullRequest("https://github.com/apache/drill.git", 1807, new RefactoringHandler() {
  @Override
  public void handle(String commitId, List<Refactoring> refactorings) {
    System.out.println("Refactorings at " + commitId);
    for (Refactoring ref : refactorings) {
      System.out.println(ref.toString());
    }
  }
}, 10);

AST Diff API usage guidelines

RefactoringMiner is actually the only tool that generates AST diff at commit level, supports multi-mappings (one-to-many, many-to-one, many-to-many mappings), matches AST nodes of different AST types, and supports semantic diff in a fully refactoring-aware fashion. You can explore its advanced AST diff capabilities in our AST Diff Gallery.

All AST Diff APIs return a ProjectASTDiff object. By calling getDiffSet() on it, you can obtain a Set<ASTDiff>, where each ASTDiff object corresponds to a pair of Java Compilation Units.

ASTDiff extends com.github.gumtreediff.actions.Diff and thus it is compatible with the GumTree core APIs.

More detailed documentation can be found in GitHistoryRefactoringMiner JavaDoc.

// With a locally cloned git repository
GitService gitService = new GitServiceImpl();
GitHistoryRefactoringMiner miner = new GitHistoryRefactoringMinerImpl();

Repository repo = gitService.cloneIfNotExists(
    "tmp/refactoring-toy-example",
    "https://github.com/danilofes/refactoring-toy-example.git");

ProjectASTDiff projectASTDiff = miner.diffAtCommit(repo, "36287f7c3b09eff78395267a3ac0d7da067863fd");
Set<ASTDiff> diffs = projectASTDiff.getDiffSet();

To use the following API, please provide a valid OAuth token in the github-oauth.properties file. You can generate an OAuth token in GitHub Settings -> Developer settings -> Personal access tokens.

// With all information fetched directly from GitHub
GitHistoryRefactoringMiner miner = new GitHistoryRefactoringMinerImpl();
ProjectASTDiff projectASTDiff = miner.diffAtCommit("https://github.com/danilofes/refactoring-toy-example.git",
    "36287f7c3b09eff78395267a3ac0d7da067863fd", 10);
Set<ASTDiff> diffs = projectASTDiff.getDiffSet();
// With two directories containing Java source code (File API)
GitHistoryRefactoringMiner miner = new GitHistoryRefactoringMinerImpl();
// You must provide absolute paths to the directories. Relative paths will cause exceptions.
File dir1 = new File("/home/user/tmp/v1");
File dir2 = new File("/home/user/tmp/v2");
ProjectASTDiff projectASTDiff = miner.diffAtDirectories(dir1, dir2);
Set<ASTDiff> diffs = projectASTDiff.getDiffSet();
// With two directories containing Java source code (Path API)
GitHistoryRefactoringMiner miner = new GitHistoryRefactoringMinerImpl();
// You must provide absolute paths to the directories. Relative paths will cause exceptions.
Path dir1 = Paths.get("/home/user/tmp/v1");
Path dir1 = Paths.get("/home/user/tmp/v2");
ProjectASTDiff projectASTDiff = miner.diffAtDirectories(dir1, dir2);
Set<ASTDiff> diffs = projectASTDiff.getDiffSet();

To visualize the diff, you can use our DiffBenchmark project.

Location information for the detected refactorings

All classes implementing the Refactoring interface include refactoring-specific location information. For example, ExtractOperationRefactoring offers the following methods:

  1. getSourceOperationCodeRangeBeforeExtraction() : Returns the code range of the source method in the parent commit
  2. getSourceOperationCodeRangeAfterExtraction() : Returns the code range of the source method in the child commit
  3. getExtractedOperationCodeRange() : Returns the code range of the extracted method in the child commit
  4. getExtractedCodeRangeFromSourceOperation() : Returns the code range of the extracted code fragment from the source method in the parent commit
  5. getExtractedCodeRangeToExtractedOperation() : Returns the code range of the extracted code fragment to the extracted method in the child commit
  6. getExtractedOperationInvocationCodeRange() : Returns the code range of the invocation to the extracted method inside the source method in the child commit

Each method returns a CodeRange object including the following properties:

String filePath
int startLine
int endLine
int startColumn
int endColumn

Alternatively, you can use the methods List<CodeRange> leftSide() and List<CodeRange> rightSide() to get a list of CodeRange objects for the left side (i.e., parent commit) and right side (i.e., child commit) of the refactoring, respectively.

Statement matching information for the detected refactorings

All method-related refactoring (Extract/Inline/Move/Rename/ExtractAndMove Operation) objects come with a UMLOperationBodyMapper object, which can be obtained by calling method getBodyMapper() on the refactoring object.

Let's consider the Extract Method refactoring in commit JetBrains/intellij-community@7ed3f27

example|1665x820

#1. You can use the following code snippet to obtain the newly added statements in the extracted method:

ExtractOperationRefactoring refactoring = ...;
UMLOperationBodyMapper mapper = refactoring.getBodyMapper();
List<StatementObject> newLeaves = mapper.getNonMappedLeavesT2(); //newly added leaf statements
List<CompositeStatementObject> newComposites = mapper.getNonMappedInnerNodesT2(); //newly added composite statements
List<StatementObject> deletedLeaves = mapper.getNonMappedLeavesT1(); //deleted leaf statements
List<CompositeStatementObject> deletedComposites = mapper.getNonMappedInnerNodesT1(); //deleted composite statements

For the Extract Method Refactoring example shown above mapper.getNonMappedLeavesT2() returns the following statements:

final String url = pageNumber == 0 ? "courses" : "courses?page=" + String.valueOf(pageNumber);
final CoursesContainer coursesContainer = getFromStepic(url,CoursesContainer.class);
return coursesContainer.meta.containsKey("has_next") && coursesContainer.meta.get("has_next") == Boolean.TRUE;

#2. You can use the following code snippet to obtain the matched statements between the original and the extracted methods:

ExtractOperationRefactoring refactoring = ...;
UMLOperationBodyMapper mapper = refactoring.getBodyMapper();
for(AbstractCodeMapping mapping : mapper.getMappings()) {
  AbstractCodeFragment fragment1 = mapping.getFragment1();
  AbstractCodeFragment fragment2 = mapping.getFragment2();
  Set<Replacement> replacements = mapping.getReplacements();
  for(Replacement replacement : replacements) {
    String valueBefore = replacement.getBefore();
    String valueAfter = replacement.getAfter();
    ReplacementType type = replacement.getType();
  }
}

For the Extract Method Refactoring example shown above mapping.getReplacements() returns the following AST node replacement for the pair of matched statements:

final List<CourseInfo> courseInfos = getFromStepic("courses",CoursesContainer.class).courses;
final List<CourseInfo> courseInfos = coursesContainer.courses;

Replacement: getFromStepic("courses",CoursesContainer.class) -> coursesContainer

ReplacementType: VARIABLE_REPLACED_WITH_METHOD_INVOCATION

#3. You can use the following code snippet to obtain the overlapping refactorings in the extracted method:

ExtractOperationRefactoring refactoring = ...;
UMLOperationBodyMapper mapper = refactoring.getBodyMapper();
Set<Refactoring> overlappingRefactorings = mapper.getRefactorings();

For the Extract Method Refactoring example shown above mapper.getRefactorings() returns the following refactoring:

Extract Variable coursesContainer : CoursesContainer in method private addCoursesFromStepic(result List<CourseInfo>, pageNumber int) : boolean from class com.jetbrains.edu.stepic.EduStepicConnector

because variable coursesContainer = getFromStepic(url,CoursesContainer.class) has been extracted from the following statement of the original method by replacing string literal "courses" with variable url:

final List<CourseInfo> courseInfos = getFromStepic("courses",CoursesContainer.class).courses;

Running RefactoringMiner from the command line

When you build a distributable application with ./gradlew distZip, you can run Refactoring Miner as a command line application. Extract the file under build/distribution/RefactoringMiner.zip in the desired location, and cd into the bin folder (or include it in your path). Then, run RefactoringMiner -h to show its usage:

> RefactoringMiner -h

-h											Show options
-a <git-repo-folder> <branch> -json <path-to-json-file>					Detect all refactorings at <branch> for <git-repo-folder>. If <branch> is not specified, commits from all branches are analyzed.
-bc <git-repo-folder> <start-commit-sha1> <end-commit-sha1> -json <path-to-json-file>	Detect refactorings between <start-commit-sha1> and <end-commit-sha1> for project <git-repo-folder>
-bt <git-repo-folder> <start-tag> <end-tag> -json <path-to-json-file>			Detect refactorings between <start-tag> and <end-tag> for project <git-repo-folder>
-c <git-repo-folder> <commit-sha1> -json <path-to-json-file>				Detect refactorings at specified commit <commit-sha1> for project <git-repo-folder>
-gc <git-URL> <commit-sha1> <timeout> -json <path-to-json-file>				Detect refactorings at specified commit <commit-sha1> for project <git-URL> within the given <timeout> in seconds. All required information is obtained directly from GitHub using the OAuth token in github-oauth.properties
-gp <git-URL> <pull-request> <timeout> -json <path-to-json-file>			Detect refactorings at specified pull request <pull-request> for project <git-URL> within the given <timeout> in seconds for each commit in the pull request. All required information is obtained directly from GitHub using the OAuth token in github-oauth.properties

With a locally cloned repository, run:

> git clone https://github.com/danilofes/refactoring-toy-example.git refactoring-toy-example
> ./RefactoringMiner -c refactoring-toy-example 36287f7c3b09eff78395267a3ac0d7da067863fd

If you don't want to clone locally the repository, run:

> ./RefactoringMiner -gc https://github.com/danilofes/refactoring-toy-example.git 36287f7c3b09eff78395267a3ac0d7da067863fd 10

For all options you can add the -json <path-to-json-file> command arguments to save the JSON output in a file. The results are appended to the file after each processed commit.

For the -gc and -gp options you must provide a valid OAuth token in the github-oauth.properties file stored in the bin folder. You can generate an OAuth token in GitHub Settings -> Developer settings -> Personal access tokens.

In both cases, you will get the output in JSON format:

{
"commits": [{
	"repository": "https://github.com/danilofes/refactoring-toy-example.git",
	"sha1": "36287f7c3b09eff78395267a3ac0d7da067863fd",
	"url": "https://github.com/danilofes/refactoring-toy-example/commit/36287f7c3b09eff78395267a3ac0d7da067863fd",
	"refactorings": [{
			"type": "Pull Up Attribute",
			"description": "Pull Up Attribute private age : int from class org.animals.Labrador to class org.animals.Dog",
			"leftSideLocations": [{
				"filePath": "src/org/animals/Labrador.java",
				"startLine": 5,
				"endLine": 5,
				"startColumn": 14,
				"endColumn": 21,
				"codeElementType": "FIELD_DECLARATION",
				"description": "original attribute declaration",
				"codeElement": "age : int"
			}],
			"rightSideLocations": [{
				"filePath": "src/org/animals/Dog.java",
				"startLine": 5,
				"endLine": 5,
				"startColumn": 14,
				"endColumn": 21,
				"codeElementType": "FIELD_DECLARATION",
				"description": "pulled up attribute declaration",
				"codeElement": "age : int"
			}]
		},
		{
			"type": "Pull Up Attribute",
			"description": "Pull Up Attribute private age : int from class org.animals.Poodle to class org.animals.Dog",
			"leftSideLocations": [{
				"filePath": "src/org/animals/Poodle.java",
				"startLine": 5,
				"endLine": 5,
				"startColumn": 14,
				"endColumn": 21,
				"codeElementType": "FIELD_DECLARATION",
				"description": "original attribute declaration",
				"codeElement": "age : int"
			}],
			"rightSideLocations": [{
				"filePath": "src/org/animals/Dog.java",
				"startLine": 5,
				"endLine": 5,
				"startColumn": 14,
				"endColumn": 21,
				"codeElementType": "FIELD_DECLARATION",
				"description": "pulled up attribute declaration",
				"codeElement": "age : int"
			}]
		},
		{
			"type": "Pull Up Method",
			"description": "Pull Up Method public getAge() : int from class org.animals.Labrador to public getAge() : int from class org.animals.Dog",
			"leftSideLocations": [{
				"filePath": "src/org/animals/Labrador.java",
				"startLine": 7,
				"endLine": 9,
				"startColumn": 2,
				"endColumn": 3,
				"codeElementType": "METHOD_DECLARATION",
				"description": "original method declaration",
				"codeElement": "public getAge() : int"
			}],
			"rightSideLocations": [{
				"filePath": "src/org/animals/Dog.java",
				"startLine": 7,
				"endLine": 9,
				"startColumn": 2,
				"endColumn": 3,
				"codeElementType": "METHOD_DECLARATION",
				"description": "pulled up method declaration",
				"codeElement": "public getAge() : int"
			}]
		},
		{
			"type": "Pull Up Method",
			"description": "Pull Up Method public getAge() : int from class org.animals.Poodle to public getAge() : int from class org.animals.Dog",
			"leftSideLocations": [{
				"filePath": "src/org/animals/Poodle.java",
				"startLine": 7,
				"endLine": 9,
				"startColumn": 2,
				"endColumn": 3,
				"codeElementType": "METHOD_DECLARATION",
				"description": "original method declaration",
				"codeElement": "public getAge() : int"
			}],
			"rightSideLocations": [{
				"filePath": "src/org/animals/Dog.java",
				"startLine": 7,
				"endLine": 9,
				"startColumn": 2,
				"endColumn": 3,
				"codeElementType": "METHOD_DECLARATION",
				"description": "pulled up method declaration",
				"codeElement": "public getAge() : int"
			}]
		}
	]
}]
}

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