Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Software defect prediction using machine learning on test and source code metrics
Use of relative code churn measures to predict system defect density
Fault Prediction Using Statistical and Machine Learning Methods for Improving Software Quality
Multi-objective Cross-Project Defect Prediction
Static analysis tools as early indicators of pre-release defect density
Software Defect Prediction using Bayesian Networks and Kernel Methods
Cross-project defect prediction using a connectivity-based unsupervised classifier
Using Machine Learning to Refine Black-Box Test Specifications and Test Suites
Predicting defects using network analysis on dependency graphs
Clustering and Metrics Thresholds Based Software Fault Prediction of Unlabeled Program Modules
Manifesting Bugs in Machine Learning Code: An Explorative Study with Mutation Testing
Survey on Software Vulnerability Analysis Method Based on Machine Learning
Machine learning for finding bugs: An initial report
What Types of Defects Are Really Discovered in Code Reviews?
Model-based performance prediction in software development: a survey
An Empirical Comparison of Model Validation Techniques for Defect Prediction Models
Software Defect Prediction via Convolutional Neural Network
Automatic mining of source code repositories to improve bug finding techniques
Quantitative Evaluation of Software Quality Metrics in Open-Source Projects
A critique of cyclomatic complexity as a software metric
Comparing and experimenting machine learning techniques for code smell detection
Unified Power Control for PMSG-Based WECS Operating Under Different Grid Conditions
determining the demographic impacts on the organizational commitment of academicians in the heis of dcs like pakistan by 1 .
Mutual occlusion between real and virtual elements in Augmented Reality based on fiducial markers
Wrappers for feature subset selection
SpotGarbage: smartphone app to detect garbage using deep learning