Machine Learning for Defect Prediction

This cluster studies the application of machine learning techniques to predict software defects, enhancing quality assurance processes. Research covers case studies, feature learning, and systematic reviews of existing techniques.

machine learning
defect prediction
software fault
quality assurance
predictive analysis

3,439 papers

Parent topic: Software Engineering and Practices

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Papers Over Time

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Top Papers

Software Engineering For Machine Learning: A Case Study

2019 · 574 citations

Automatically Learning Semantic Features For Defect Prediction

2016 · 465 citations

A Systematic Review Of Machine Learning Techniques For Software Fault Prediction

2015 · 449 citations

Predicting Defects Using Network Analysis On Dependency Graphs

2008 · 378 citations

Artificial Intelligence And The Implementation Challenge

2019 · 245 citations

Automated Parameter Optimization Of Classification Techniques For Defect Prediction Models

2016 · 226 citations

Deep Semantic Feature Learning For Software Defect Prediction

2020 · 200 citations

Software Defect Prediction Using Cost-Sensitive Neural Network

2015 · 195 citations

How To Effectively Use Topic Models For Software Engineering Tasks? An Approach Based On Genetic Algorithms

2013 · 189 citations

A Software Engineering Approach To Ontology Building

2009 · 189 citations

Problem Structuring Methods ‘In The Dock’: Arguing The Case For Soft OR

2012 · 186 citations

Cost-sensitive Boosting Neural Networks For Software Defect Prediction

2010 · 170 citations

Learning From Examples: Generation And Evaluation Of Decision Trees For Software Resource Analysis

1988 · 167 citations

GA-based Method For Feature Selection And Parameters Optimization For Machine Learning Regression Applied To Software Effort Estimation

2010 · 155 citations

A Pattern Recognition Approach For Software Engineering Data Analysis

1992 · 152 citations

Comparison Of Artificial Neural Network And Regression Models For Estimating Software Development Effort

2002 · 149 citations

Requirements Engineering For Machine Learning: Perspectives From Data Scientists

2019 · 143 citations

Applying Machine Learning To Software Fault-Proneness Prediction

2008 · 136 citations

Value-cognitive Boosting With A Support Vector Machine For Cross-Project Defect Prediction

2014 · 133 citations

A Taxonomy Of Software Engineering Challenges For Machine Learning Systems: An Empirical Investigation

2019 · 130 citations