Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Machine Learning-based Software Testing: Towards a Classification Framework
Using Machine Learning to Refine Black-Box Test Specifications and Test Suites
Applying particle swarm optimization to software testing
Automated support for classifying software failure reports
An Ontology-Based Knowledge Sharing Portal for Software Testing
Knowledge based evaluation of software systems: a case study
STADS: Software Testing as Species Discovery
Using Software Metrics Thresholds to Predict Fault-Prone Classes in Object-Oriented Software
Using Class Imbalance Learning for Software Defect Prediction
Reconciling Manual and Automated Testing: The AutoTest Experience
Survey on Software Defect Prediction Using Machine Learning Techniques
AOSE Methodologies and Comparison of Object Oriented and Agent Oriented Software Testing
Model-based security testing: a taxonomy and systematic classification
Machine Learning Based Source Code Classification Using Syntax Oriented Features
Automated Test Case Generation and Optimization : A Comparative Review
A deep tree-based model for software defect prediction
Automated robustness testing of off-the-shelf software components
Predicting defect-prone software modules using support vector machines
Model-based Testing
Selecting Software Test Data Using Data Flow Information
Automatic test-based assessment of programming: A review
AID: A Benchmark Dataset for Performance Evaluation of Aerial Scene Classification
Metabolomics – the link between genotypes and phenotypes
Empirical evaluation of the tarantula automatic fault-localization technique
Elderly activities recognition and classification for applications in assisted living
Optimum formulation of feed for rohu, Labeo rohita (Hamilton), with biofloc as a component