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An application of Bayesian network for predicting object-oriented software maintainability
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Automatically measuring the maintainability of service- and microservice-based systems
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Identifying Threshold Values of Change-Prone Modules
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Application of Ensemble Techniques in Predicting Object-Oriented Software Maintainability
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Challenges and Opportunities in Using Data Science for Homelessness Service Provision
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Human-level Ordinal Maintainability Prediction Based on Static Code Metrics
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Using machine learning to guide the application of software refactorings: a preliminary exploration
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Analysis of Bug Report Qualities with Fixing Time using a Bayesian Network
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Replication and Extension of Schnappinger’s Study on Human-level Ordinal Maintainability Prediction Based on Static Code Metrics
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Proceedings of the 7th ACM/IEEE International Conference on Technical Debt
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What you See is What you Get: Exploring the Relation between Code Aesthetics and Code Quality
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A Bayesian Network-Based Probabilistic Framework for Drought Forecasting and Outlook
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A Tool-Based Perspective on Software Code Maintainability Metrics: A Systematic Literature Review
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Classification model for maintainability prediction
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Advances in Software Product Quality Measurement and its Applications in Software Evolution
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A model to derive software maintenance policy decision
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Comparative Analysis of Object-Oriented Software Maintainability Prediction Models
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A Consolidated and Comparative Analysis of Software Metrics Tools for Systems Performance Evaluation: A Survey
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Self-learning Change-prone Class Prediction
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MEASURING MAINTAINABILITY OF OBJECT ORIENTED DESIGN: A REVISIT
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SENSITIVITY-BASED LINEAR LEARNING METHOD AND EXTREME LEARNING MACHINES COMPARED FOR SOFTWARE MAINTAINABILITY PREDICTION OF OBJECT-ORIENTED SOFTWARE SYSTEMS
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Location-Based Sentiment Analysis using Bayesian Networks on COVID-19 Twitter Data
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Software Maintainability and Refactorings Prediction Based on Technical Debt Issues
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Comparing Object-Oriented Design between Java and C++ using Chidamber and Kemerer metrics
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A conceptual Bayesian net model for integrated software quality prediction
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Natural Language Processing and Machine Learning Methods for Software Development Effort Estimation
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Using Early Stage Project Data to Predict Change-Proneness
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Analysis of Mobile Service Usage Behaviour with Bayesian Belief Networks
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A feature selection strategy for improving software maintainability prediction
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A Bayesian Approach towards Modelling the Interrelationships of Pavement Deterioration Factors
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Data-Driven Analytics towards Software Sustainability: The Case of Open-Source Multimedia Tools on Cultural Storytelling
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The Integration of Reliability, Availability, and Maintainability into Model-Based Systems Engineering
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Explanatory and Causality Analysis in Software Engineering
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DiBS: Differentiable Bayesian Structure Learning
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Application of Evolutionary Algorithms for Software Maintainability Prediction using Object-Oriented Metrics
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Automated Identification of Change-Prone Classes in Open Source Software Projects
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Predicting Coding Effort in Projects Containing XML Code
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Prospects and Challenges of using Machine Learning Algorithms for Software Quality Assessment and Prediction
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Enhancing Software Maintainability Prediction Using Multiple Linear Regression and Predictor Importance
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Impact of Design Patterns on Software Maintainability
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Study of Qualimetry essentials applied to embedded software development
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Towards high-quality Android applications development with Kotlin
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Assessing Software Maintainability Based on Class Diagram Design: A Preliminary Case Study
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An Extensive Analysis of Machine Learning Based Boosting Algorithms for Software Maintainability Prediction.
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Measuring Maintainability Index of a Software Depending on Line of Code Only
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