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Predicting move method refactoring opportunities in object-oriented code

https://doi.org/10.1016/j.infsof.2017.07.013

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Applied Logistic Regression

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Latent semantic analysis

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A metric‐based approach to identifying refactoring opportunities for merging code clones in a Java software system

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Finding software metrics threshold values using ROC curves

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Automated scheduling for clone‐based refactoring using a competent GA

inferredcites →https://doi.org/10.1007/3-540-45672-4_31openalex-snapshot

Refactoring: Improving the Design of Existing Code

inferredcites →https://doi.org/10.1007/978-0-387-09684-1openalex-snapshot

Open Source Development, Communities and Quality

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The SQO-OSS Quality Model: Measurement Based Open Source Software Evaluation

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Advanced Data Mining Techniques

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Class structure refactoring of object-oriented softwares using community detection in dependency networks

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Evaluating the Quality of Open Source Software

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An object-oriented high-level design-based class cohesion metric

inferredcites →https://doi.org/10.1016/j.infsof.2012.04.004openalex-snapshot

Constructing models for predicting extract subclass refactoring opportunities using object-oriented quality metrics

inferredcites →https://doi.org/10.1016/j.infsof.2014.08.002openalex-snapshot

Identifying refactoring opportunities in object-oriented code: A systematic literature review

inferredcites →https://doi.org/10.1023/a:1009783721306openalex-snapshot

A Unified Framework for Cohesion Measurement in Object-Oriented Systems

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Replicated Case Studies for Investigating Quality Factors in Object-Oriented Designs

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The Bagplot: A Bivariate Boxplot

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Defining and validating measures for object-based high-level design

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Refactoring and its Relationship with Fan-in and Fan-out: An Empirical Study

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11th European Conference on Software Maintenance and Reengineering (CSMR'07)

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12th Working Conference on Reverse Engineering (WCRE'05)

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2007 22nd International symposium on computer and information sciences

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Restructuring software systems using clustering

inferredcites →https://doi.org/10.1109/scam.2012.20openalex-snapshot

When Does a Refactoring Induce Bugs? An Empirical Study

inferredcites →https://doi.org/10.1109/scam30525.2013openalex-snapshot

2013 IEEE 13th International Working Conference on Source Code Analysis and Manipulation (SCAM)

inferredcites →https://doi.org/10.1109/tse.2004.1265817openalex-snapshot

A survey of software refactoring

inferredcites →https://doi.org/10.1109/tse.2007.70768openalex-snapshot

Using the Conceptual Cohesion of Classes for Fault Prediction in Object-Oriented Systems

inferredcites →https://doi.org/10.1109/tse.2009.1openalex-snapshot

Identification of Move Method Refactoring Opportunities

inferredcites →https://doi.org/10.1109/tse.2013.60openalex-snapshot

Methodbook: Recommending Move Method Refactorings via Relational Topic Models

inferredcites →https://doi.org/10.1109/tse.2017.2658573openalex-snapshot

Empirical Evaluation of the Impact of Object-Oriented Code Refactoring on Quality Attributes: A Systematic Literature Review

inferredcites →https://doi.org/10.1109/wcre.2004.33openalex-snapshot

Refactoring - improving coupling and cohesion of existing code

inferredcites →https://doi.org/10.1109/wcre.2013.6671298openalex-snapshot

Recommending Move Method refactorings using dependency sets

inferredcites →https://doi.org/10.1145/1068009openalex-snapshot

Proceedings of the 7th annual conference on Genetic and evolutionary computation

inferredcites →https://doi.org/10.1145/1143997.1144315openalex-snapshot

Search-based determination of refactorings for improving the class structure of object-oriented systems

inferredcites →https://doi.org/10.1145/1806799.1806855openalex-snapshot

Linking e-mails and source code artifacts

inferredcites →https://doi.org/10.1145/1985793openalex-snapshot

Proceedings of the 33rd International Conference on Software Engineering

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Identifying method friendships to remove the feature envy bad smell (NIER track)

inferredcites →https://doi.org/10.1145/2089116.2089118openalex-snapshot

A Precise Method-Method Interaction-Based Cohesion Metric for Object-Oriented Classes

inferredcites →https://doi.org/10.1145/211782openalex-snapshot

Proceedings of the 1995 Symposium on Software reusability

inferredcites →https://doi.org/10.1145/211782.211856openalex-snapshot

Cohesion and reuse in an object-oriented system

inferredcites →https://doi.org/10.1145/2372251.2372260openalex-snapshot

Experimental assessment of software metrics using automated refactoring

inferredcites →https://doi.org/10.1145/2559935openalex-snapshot

Improving software modularization via automated analysis of latent topics and dependencies

inferredcites →https://doi.org/10.1145/3437120openalex-snapshot

24th Pan-Hellenic Conference on Informatics

inferredcites →https://doi.org/10.1504/ijmic.2013.052300openalex-snapshot

Identifying the move method refactoring opportunities based on evolutionary algorithm

inferredcites →https://doi.org/10.34961/729openalex-snapshot

Automated refactoring for testability

inferredcites →https://doi.org/10.5860/choice.27-3338openalex-snapshot

Applied logistic regression

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Exploring the relationship between refactoring and code debt indicators

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Application of SMOTE and LSSVM with Various Kernels for Predicting Refactoring at Method Level

inferred← citeshttps://doi.org/10.1007/s10664-022-10151-4openalex-snapshot

Generation of refactoring algorithms by grammatical evolution

inferred← citeshttps://doi.org/10.1007/s11771-020-4576-7openalex-snapshot

Identification of refactoring opportunities for source code based on class association relationships

inferred← citeshttps://doi.org/10.1007/s13369-017-3012-2openalex-snapshot

Predicting Fault-Proneness of Reused Object-Oriented Classes in Software Post-Releases

inferred← citeshttps://doi.org/10.1007/s13369-023-08174-0openalex-snapshot

Machine Learning-Based Exploration of the Impact of Move Method Refactoring on Object-Oriented Software Quality Attributes

inferred← citeshttps://doi.org/10.1049/sfw2.12076openalex-snapshot

DOOSRA—Distributed Object‐Oriented Software Restructuring Approach using DIM‐K‐means and MAD‐based ENRNN classifier

inferred← citeshttps://doi.org/10.1049/sfw2/3348017openalex-snapshot

Refactoring Object‐Oriented Software With ChatGPT: An Empirical Study

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Revisiting Scenarios of Using Refactoring Techniques to Improve Software Systems Quality

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Predicting Object Communication Errors in Constructor Development

inferred← citeshttps://doi.org/10.1109/cec45853.2021.9504804openalex-snapshot

Unsupervised Learning For Refactoring Pattern Detection

inferred← citeshttps://doi.org/10.1109/csecs64665.2025.11009759openalex-snapshot

Predicting Execution Time for Move Method Refactoring Base on Deep Learning

inferred← citeshttps://doi.org/10.1109/sces61914.2024.10652412openalex-snapshot

Performance Evaluation of Support Vector Classifier Kernel Functions in Method-Level Refactoring Analysis

inferred← citeshttps://doi.org/10.1142/s0218194020500357openalex-snapshot

ABMMRS Eradicator: Improving Accuracy in Recommending Move Methods for Web-based MVC Projects and Libraries Using Method’s External Dependencies

inferred← citeshttps://doi.org/10.1145/3229345.3229357openalex-snapshot

A Systematic Mapping of Literature on Software Refactoring Tools

inferred← citeshttps://doi.org/10.1145/3299771.3299777openalex-snapshot

Method Level Refactoring Prediction on Five Open Source Java Projects using Machine Learning Techniques

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Energy Diagnosis of Android Applications

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A New Metaheuristic-Based Hierarchical Clustering Algorithm for Software Modularization

inferred← citeshttps://doi.org/10.12928/telkomnika.v18i6.16743openalex-snapshot

Harnessing deep learning algorithms to predict software refactoring

inferred← citeshttps://doi.org/10.17586/2226-1494-2021-21-5-738-747openalex-snapshot

Software restructuring models for object oriented programming languages using the fuzzy based clustering algorithm

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Predicting Object-Oriented Class Fault-Proneness: A Replication Study

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Context-Aware Automatic Code Segment Extraction and Refactoring in Object-Oriented Systems

inferred← citeshttps://doi.org/10.3390/app122312217openalex-snapshot

Class-Level Refactoring Prediction by Ensemble Learning with Various Feature Selection Techniques

inferred← citeshttps://doi.org/10.3390/app15084270openalex-snapshot

Predicting a Program’s Execution Time After Move Method Refactoring Based on Deep Learning and Feature Interaction

inferred← citeshttps://doi.org/10.5815/ijieeb.2020.04.03openalex-snapshot

Reduction of Multiple Move Method Suggestions Using Total Call-Frequencies of Distinct Entities

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