Latest

• A search-based file recommendation approach for infrastructure-as-code evolution
• An Empirical Study on Microservices Deployment Trends, Topics and Challenges in Stack Overflow
• ChatGPT for Code Refactoring: Analyzing Topics, Interaction, and Effective Prompts
• Towards understanding code review practices for infrastructure-as-code: An empirical study on OpenStack projects
• Automating Source Code Refactoring in the Classroom
• Behind the scenes: On the relationship between developer experience and refactoring
• Fine-Grained Just-In-Time Defect Prediction at the Block Level in Infrastructure-as-Code (IaC)
• GitRev: An LLM-Based Gamification Framework for Modern Code Review Activities
• How Do So ware Developers Use ChatGPT? An Exploratory Study on GitHub Pull Requests
• How to Refactor this Code? An Exploratory Study on Developer-ChatGPT Refactoring Conversations
• MULTICR: Predicting Merged and Abandoned Code Changes in Modern Code Review Using Multi-Objective Search
• On the Prevalence, Co-occurrence, and Impact of Infrastructure-as-Code Smells
• Third-party software library migration at the method-level using multi-objective evolutionary search
• What Constitutes the Deployment and Runtime Configuration System? An Empirical Study on OpenStack Projects
• An Empirical Study on Continuous Integration Trends, Topics and Challenges in Stack Overflow
• Automating Source Code Refactoring in the Classroom
• Behind the Intent of Extract Method Refactoring: A Systematic Literature Review
• BPEL process defects prediction using multi-objective evolutionary search
• How is Software Reuse Discussed in Stack Overflow?
• Improving the detection of community smells through socio-technical and sentiment analysis
• Just-in-Time Code Duplicates Extraction
• Learning to Predict Code Review Completion Time In Modern Code Review
• On the impact of single and co-occurrent refactorings on quality attributes in android applications
• The State of Accessibility in Blackboard: Survey and User Reviews Case Study
• What Do Infrastructure-as-Code Practitioners Discuss: An Empirical Study on Stack Overflow
• Improving the prediction of continuous integration build failures using deep learning
• Refactoring for reuse: an empirical study
• Tracking bad updates in mobile apps: a search-based approach
• On the documentation of refactoring types
• An Exploratory Study on How Software Reuse is Discussed in Stack Overflow
• AntiCopyPaster: Extracting Code Duplicates As Soon As They Are Introduced in the IDE
• Automatically detecting and understanding the perception of COVID-19 vaccination: a middle east case study
• Code Review Practices for Refactoring Changes: An Empirical Study on OpenStack
• Detecting Continuous Integration Skip Commits Using Multi-Objective Evolutionary Search
• How do i refactor this? An empirical study on refactoring trends and topics in Stack Overflow
• How do i refactor this? An empirical study on refactoring trends and topics in Stack Overflow
• Improving microservices extraction using evolutionary search
• Multi-criteria Web Services Selection: Balancing the Quality of Design and Quality of Service
• On the identification of accessibility bug reports in open source systems
• On the Identification of Third-Party Library Usage Patterns for Android Applications
• On the use of textual feature extraction techniques to support the automated detection of refactoring documentation
• Refactoring Debt: Myth or Reality? An Exploratory Study on the Relationship Between Technical Debt and Refactoring
• SATDBailiff-mining and tracking self-admitted technical debt
• SATDBailiff-mining and tracking self-admitted technical debt
• Search-based detection of code changes introducing performance regression
• Search-Based Third-Party Library Migration at the Method-Level
• A longitudinal exploratory study on code smells in server side web applications
• A longitudinal study of the impact of refactoring in android applications
• An Empirical Study on the Impact of Refactoring on Quality Metrics in Android Applications
• Anti-patterns in Modern Code Review: Symptoms and Prevalence
• Anti-patterns in Modern Code Review: Symptoms and Prevalence
• Behind the Scenes: On the Relationship Between Developer Experience and Refactoring
• BF-detector: an automated tool for CI build failure detection
• BF-detector: an automated tool for CI build failure detection
• Comparing Commit Messages and Source Code Metrics for the Prediction Refactoring Activities
• csDetector: an open source tool for community smells detection
• How Do I Refactor This? An Empirical Study on Refactoring Trends and Topics in Stack Overflow
• How we refactor and how we document it? On the use of supervised machine learning algorithms to classify refactoring documentation
• How we refactor and how we document it? On the use of supervised machine learning algorithms to classify refactoring documentation
• Learning Sentiment Analysis for Accessibility User Reviews
• Mining and Managing Big Data Refactoring for Design Improvement: Are We There Yet?
• Multi-criteria Web Services Selection: Balancing the Quality of Design and Quality of Service
• On preserving the behavior in software refactoring: A systematic mapping study
• On the Documentation of Refactoring Types
• On the impact of Continuous Integration on refactoring practice: An exploratory study on TravisTorrent
• On the use of textual feature extraction techniques to support the automated detection of refactoring documentation
• Predicting Code Review Completion Time in Modern Code Review
• Refactoring Practices in the Context of Modern Code Review: An Industrial Case Study at Xerox
• SATDBailiff- Mining and Tracking Self-Admitted Technical Debt
• Search based software engineering: challenges, opportunities and recent applications
• Test Smell Detection Tools: A Systematic Mapping Study
• Toward the automatic classification of Self-Affirmed Refactoring
• Toward the automatic classification of self-affirmed refactoring
• WhoReview: A multi-objective search-based approach for code reviewers recommendation in modern code review
• An Exploratory Study on How Software Reuse is Discussed in Stack Overflow
• An exploratory study on the refactoring of unit test files in android applications
• An Interactive and Dynamic Search-Based Approach to Software Refactoring Recommendations
• AndroLib: Third-Party Software Library Recommendation for Android Applications
• How Do Developers Refactor Code to Improve Code Reusability?
• How Does Library Migration Impact Software Quality and Comprehension? An Empirical Study
• How Does Library Migration Impact Software Quality and Comprehension? An Empirical Study
• How We Refactor and How We Document it? On the Use of Supervised Machine Learning Algorithms to Classify Refactoring Documentation
• Increasing the Trust In Refactoring Through Visualization
• Learning to detect community smells in open source software projects
• Learning to recommend third-party library migration opportunities at the API level
• Many-Objective Software Remodularization using NSGA-III
• On the detection of community smells using genetic programming-based ensemble classifier chain
• On the Diffusion and Impact of Code Smells in Web Applications
• On the prediction of continuous integration build failures using search-based software engineering
• On the Relationship Between Developer Experience and Refactoring: An Exploratory Study and Preliminary Results
• Predicting continuous integration build failures using evolutionary search
• Recommending peer reviewers in modern code review: a multi-objective search-based approach
• Toward the Automatic Classification of Self-Affirmed Refactoring
• tsDetect: an open source test smells detection tool
• Web Service API Anti-patterns Detection as a Multi-label Learning Problem
• Can refactoring be self-affirmed? an exploratory study on how developers document their refactoring activities in commit messages
• Do Design Metrics Capture Developers Perception of Quality? An Empirical Study on Self-Affirmed Refactoring Activities
• Learning to Recommend Third-Party Library Migration Opportunities at the API Level
• MigrationMiner: An Automated Detection Tool of Third-Party Java Library Migration at the Method Level
• On the distribution of test smells in open source android applications: An exploratory study
• On the impact of refactoring on the relationship between quality attributes and design metrics
• On the use of information retrieval to automate the detection of third-party java library migration at the method level
• Towards Automated Microservices Extraction Using Muti-objective Evolutionary Search
• Towards Automated Microservices Extraction Using Muti-objective Evolutionary Search
• Web service API recommendation for automated mashup creation using multi-objective evolutionary search
• An interactive and dynamic search-based approach to software refactoring recommendations
• Recommending relevant classes for bug reports using multi-objective search
• Many-Objective Software Remodularization Using NSGA-III
• Many-objective software remodularization using NSGA-III