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Empirical evaluation of software maintainability based on a manually validated refactoring dataset
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/smr.1644openalex-snapshot
Model refactoring using examples: a search‐based approach
inferredcites →https://doi.org/10.1007/3-540-45672-4_31openalex-snapshot
Refactoring: Improving the Design of Existing Code
inferredcites →https://doi.org/10.1007/978-3-319-42089-9_43openalex-snapshot
Assessment of the Code Refactoring Dataset Regarding the Maintainability of Methods
inferredcites →https://doi.org/10.1007/978-3-642-39038-8_23openalex-snapshot
A Comparative Study of Manual and Automated Refactorings
inferredcites →https://doi.org/10.1007/978-3-642-39742-4_11openalex-snapshot
Search-Based Refactoring Detection Using Software Metrics Variation
inferredcites →https://doi.org/10.1016/j.eswa.2008.12.066openalex-snapshot
An expert system for determining candidate software classes for refactoring
inferredcites →https://doi.org/10.1016/j.jss.2012.10.040openalex-snapshot
Comparing approaches to analyze refactoring activity on software repositories
inferredcites →https://doi.org/10.1016/j.jss.2015.05.024openalex-snapshot
An experimental investigation on the innate relationship between quality and refactoring
inferredcites →https://doi.org/10.1109/concapan.2017.8278488openalex-snapshot
Refactoring improving the design of existing code
inferredcites →https://doi.org/10.1109/csmr-wcre.2014.6747214openalex-snapshot
Qualitygate SourceAudit: A tool for assessing the technical quality of software
inferredcites →https://doi.org/10.1109/csmr.2003.1192416openalex-snapshot
Identifying refactoring opportunities using logic meta programming
inferredcites →https://doi.org/10.1109/csmr.2003.1192426openalex-snapshot
A metric-based approach to enhance design quality through meta-pattern transformations
inferredcites →https://doi.org/10.1109/csmr.2012.17openalex-snapshot
Refactoring and its Relationship with Fan-in and Fan-out: An Empirical Study
inferredcites →https://doi.org/10.1109/csmr.2012.79openalex-snapshot
Evaluating the Lifespan of Code Smells using Software Repository Mining
inferredcites →https://doi.org/10.1109/csmr.2013.1openalex-snapshot
Proceedings of the 2013 17th European Conference on Software Maintenance and Reengineering (CSMR 2013)
inferredcites →https://doi.org/10.1109/csmr.2013.44openalex-snapshot
A History Querying Tool and Its Application to Detect Multi-version Refactorings
inferredcites →https://doi.org/10.1109/icsm.1992.242525openalex-snapshot
Metrics for assessing a software system's maintainability
inferredcites →https://doi.org/10.1109/icsm.2000openalex-snapshot
Proceedings 2000 International Conference on Software Maintenance
inferredcites →https://doi.org/10.1109/icsm.2001openalex-snapshot
Proceedings IEEE International Conference on Software Maintenance. ICSM 2001
inferredcites →https://doi.org/10.1109/icsm.2002.1167741openalex-snapshot
Proceedings International Conference On Software Maintenance ICSM 2002
inferredcites →https://doi.org/10.1109/icsm.2002.1167822openalex-snapshot
A quantitative evaluation of maintainability enhancement by refactoring
inferredcites →https://doi.org/10.1109/icsm.2003.1235447openalex-snapshot
A taxonomy and an initial empirical study of bad smells in code
inferredcites →https://doi.org/10.1109/icsm.2010.5609577openalex-snapshot
Template-based reconstruction of complex refactorings
inferredcites →https://doi.org/10.1109/icsm.2011.6080791openalex-snapshot
A probabilistic software quality model
inferredcites →https://doi.org/10.1109/icsm.2012.6405288openalex-snapshot
A cost model based on software maintainability
inferredcites →https://doi.org/10.1109/icsm.2013.53openalex-snapshot
An Initial Investigation into Change-Based Reconstruction of Floss-Refactorings
inferredcites →https://doi.org/10.1109/icsme.2014.55openalex-snapshot
Recommending Clones for Refactoring Using Design, Context, and History
inferredcites →https://doi.org/10.1109/iwpse.2003.1231219openalex-snapshot
Reconstruction of successful software evolution using clone detection
inferredcites →https://doi.org/10.1109/saner.2016.42openalex-snapshot
A Code Refactoring Dataset and Its Assessment Regarding Software Maintainability
inferredcites →https://doi.org/10.1109/saner37107.2016openalex-snapshot
2016 IEEE 23rd International Conference on Software Analysis, Evolution, and Reengineering (SANER)
inferredcites →https://doi.org/10.1109/sbes.2011.21openalex-snapshot
Analyzing Refactorings on Software Repositories
inferredcites →https://doi.org/10.1109/scam.2015.7335422openalex-snapshot
FaultBuster: An automatic code smell refactoring toolset
inferredcites →https://doi.org/10.1109/tse.2005.28openalex-snapshot
Using origin analysis to detect merging and splitting of source code entities
inferredcites →https://doi.org/10.1109/tse.2011.41openalex-snapshot
How We Refactor, and How We Know It
inferredcites →https://doi.org/10.1109/tse.2015.2427831openalex-snapshot
Identifying Renaming Opportunities by Expanding Conducted Rename Refactorings
inferredcites →https://doi.org/10.1109/wcre.1993openalex-snapshot
[1993] Proceedings Working Conference on Reverse Engineering
inferredcites →https://doi.org/10.1109/wcre.2002.1173068openalex-snapshot
Java quality assurance by detecting code smells
inferredcites →https://doi.org/10.1109/wcre.2003.1287230openalex-snapshot
Proceedings 10th Working Conference On Reverse Engineering
inferredcites →https://doi.org/10.1109/wcre.2004.2openalex-snapshot
Proceedings. 11th Working Conference on Reverse Engineering
inferredcites →https://doi.org/10.1109/wcre.2006.48openalex-snapshot
Refactoring Detection based on UMLDiff Change-Facts Queries
inferredcites →https://doi.org/10.1109/wcre.2009.28openalex-snapshot
An Exploratory Study of the Impact of Code Smells on Software Change-proneness
inferredcites →https://doi.org/10.1109/wcre.2013.6671299openalex-snapshot
Do developers care about code smells? An exploratory survey
inferredcites →https://doi.org/10.1145/1321631.1321688openalex-snapshot
Automated detection of api refactorings in libraries
inferredcites →https://doi.org/10.1145/1370750openalex-snapshot
Proceedings of the 2008 international working conference on Mining software repositories
inferredcites →https://doi.org/10.1145/1370750.1370759openalex-snapshot
On the relation of refactorings and software defect prediction
inferredcites →https://doi.org/10.1145/1984732openalex-snapshot
Proceedings of the 4th Workshop on Refactoring Tools
inferredcites →https://doi.org/10.1145/1984732.1984740openalex-snapshot
Understanding the longevity of code smells
inferredcites →https://doi.org/10.1145/1984732.1984741openalex-snapshot
Impact of refactoring on quality code evaluation
inferredcites →https://doi.org/10.1145/2328876.2328877openalex-snapshot
What kind of and how clones are refactored?
inferredcites →https://doi.org/10.1145/2764979.2764988openalex-snapshot
An exploration of the 'introduce explaining variable' refactoring
inferredcites →https://doi.org/10.1145/2810146openalex-snapshot
Proceedings of the 11th International Conference on Predictive Models and Data Analytics in Software Engineering
inferredcites →https://doi.org/10.1145/2950290.2950305openalex-snapshot
Why we refactor? confessions of GitHub contributors
inferredcites →https://doi.org/10.1145/2972958.2972962openalex-snapshot
A Manually Validated Code Refactoring Dataset and Its Assessment Regarding Software Maintainability
inferredcites →https://doi.org/10.1145/353171.353183openalex-snapshot
Finding refactorings via change metrics
inferredcites →https://doi.org/10.1145/354222.353183openalex-snapshot
Finding refactorings via change metrics
inferredcites →https://doi.org/10.1145/512035openalex-snapshot
Proceedings of the International Workshop on Principles of Software Evolution
inferredcites →https://doi.org/10.1214/aoms/1177730491openalex-snapshot
On a Test of Whether one of Two Random Variables is Stochastically Larger than the Other
inferredcites →https://doi.org/10.14279/tuj.eceasst.60.852openalex-snapshot
A Drill-Down Approach for Measuring Maintainability at Source Code Element Level
inferredcites →https://doi.org/10.1587/transinf.e97.d.1244openalex-snapshot
An Investigation into the Characteristics of Merged Code Clones during Software Evolution
inferredcites →https://doi.org/10.48550/arxiv.1412.6359openalex-snapshot
An Empirical Study on Refactoring Activity
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Multi‐criteria decision‐making approach for modular enterprise resource planning sorting problems
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Bad smell detection using quality metrics and refactoring opportunities
inferred← citeshttps://doi.org/10.1002/smr.2590openalex-snapshot
Severity Factor (SF): An aid to developers for application of refactoring operations to improve software quality
inferred← citeshttps://doi.org/10.1007/978-3-031-62624-1_12openalex-snapshot
Handling Imbalanced Datasets in Software Refactoring Prediction
inferred← citeshttps://doi.org/10.1007/978-3-319-95174-4_37openalex-snapshot
A Hands-on OpenStack Code Refactoring Experience Report
inferred← citeshttps://doi.org/10.1007/978-981-15-0790-8_41openalex-snapshot
Restructuring of Object-Oriented Software System Using Clustering Techniques
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Feature requests-based recommendation of software refactorings
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Fixing vulnerabilities potentially hinders maintainability
inferred← citeshttps://doi.org/10.1007/s11390-020-9668-1openalex-snapshot
Machine Learning Techniques for Software Maintainability Prediction: Accuracy Analysis
inferred← citeshttps://doi.org/10.1016/j.cosrev.2025.100767openalex-snapshot
Insight into code clone management through refactoring: a systematic literature review
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A systematic literature review of machine learning techniques for software maintainability prediction
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A longitudinal study of the impact of refactoring in android applications
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REARRANGE: Effort estimation approach for software clustering-based remodularisation
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Deciphering refactoring branch dynamics in modern code review: An empirical study on Qt
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An empirical study on the co-occurrence between refactoring actions and Self-Admitted Technical Debt removal
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WITHDRAWN: Deep analysis of quality of primary studies on assessing the impact of refactoring on software quality
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QualCode: A Data-Driven Framework for Predicting Software Maintainability Based on ISO/IEC 25010
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A Text-Based Refactoring Dataset for Multi-Type Prediction Using Code Snippets and Software Metrics
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Revealing MOVE METHOD: Machine Learning-driven Real-time Refactoring Identification for Enhanced Software Quality
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MaRV: A Manually Validated Refactoring Dataset
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Self-Admitted Technical Debt Removal and Refactoring Actions: Co-Occurrence or More?
inferred← citeshttps://doi.org/10.1109/iiai-aai-winter61682.2023.00015openalex-snapshot
A Survey of Refactoring Techniques to Maximize Code Coverage Metric
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Automated Recommendation of Software Refactorings Based on Feature Requests
inferred← citeshttps://doi.org/10.1109/scam51674.2020.00013openalex-snapshot
Can Refactorings Indicate Design Tradeoffs?
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Change Pattern Detection for Optimising Incremental Static Analysis
inferred← citeshttps://doi.org/10.1111/exsy.13250openalex-snapshot
A review on soft computing approaches for predicting maintainability of software: State‐of‐the‐art, technical challenges, and future directions
inferred← citeshttps://doi.org/10.1145/3180155.3180206openalex-snapshot
Accurate and efficient refactoring detection in commit history
inferred← citeshttps://doi.org/10.1145/3475716.3475785openalex-snapshot
An Empirical Study on Refactoring-Inducing Pull Requests
inferred← citeshttps://doi.org/10.1145/3524842.3527932openalex-snapshot
Code review practices for refactoring changes
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Towards Diverse Program Transformations for Program Simplification
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Harnessing deep learning algorithms to predict software refactoring
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Software restructuring models for object oriented programming languages using the fuzzy based clustering algorithm
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Software Maintainability and Refactorings Prediction Based on Technical Debt Issues
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Fixing Vulnerabilities Potentially Hinders Maintainability
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The Impact of Ensemble Techniques on Software Maintenance Change Prediction: An Empirical Study
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Class-Level Refactoring Prediction by Ensemble Learning with Various Feature Selection Techniques
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Software Refactoring Prediction Using SVM and Optimization Algorithms
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Using Design of Experiments to Analyze Open Source Software Metrics for Change Impact Estimation
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Using Design of Experiments to Analyze Open Source Software Metrics for Change Impact Estimation
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Cross-Project Software Refactoring Prediction Using Optimized Deep Learning Neural Network With the Aid of Attribute Selection
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Perceptions and Difficulties of Software Engineering Students in Code Smells Refactoring
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Modèle de maintenabilité logicielle par analyse statique du graphe de code du programme
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