Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Software Fault Prediction: A Systematic Mapping Study.
A systematic review of software fault prediction studies
Clustering and Metrics Thresholds Based Software Fault Prediction of Unlabeled Program Modules
A Systematic Literature Review of Software Defect Prediction: Research Trends, Datasets, Methods and Frameworks
Defect prediction on a legacy industrial software: a case study on software with few defects
A meta-learning framework for algorithm recommendation in software fault prediction
A systematic and comprehensive investigation of methods to build and evaluate fault prediction models
An Empirical Study on Software Defect Prediction with a Simplified Metric Set
On Fault Representativeness of Software Fault Injection
Dictionary learning based software defect prediction
A deep tree-based model for software defect prediction
Efficient software-based fault isolation
Anomaly-based bug prediction, isolation, and validation: an automated approach for software debugging
The application of ROC analysis in threshold identification, data imbalance and metrics selection for software fault prediction
Empirical Validation of Three Software Metrics Suites to Predict Fault-Proneness of Object-Oriented Classes Developed Using Highly Iterative or Agile Software Development Processes
Empirical assessment of machine learning based software defect prediction techniques
Software fault interactions and implications for software testing
Automatic Localization of Bugs to Faulty Components in Large Scale Software Systems Using Bayesian Classification
A Systematic Mapping Study of Software Reliability Modeling
Survey on Software Defect Prediction Using Machine Learning Techniques
Systematic mapping studies in software engineering
Personalized news recommendation based on click behavior
Interactive SQL query suggestion: Making databases user-friendly
Pyruvate kinase M2 fuels multiple aspects of cancer cells: from cellular metabolism, transcriptional regulation to extracellular signaling
Programs for machine learning Part I
A Total-Evidence Approach to Dating with Fossils, Applied to the Early Radiation of the Hymenoptera