Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper.
Query: A systematic review of machine learning techniques for software fault prediction
Predicting defect-prone software modules using support vector machines
Predictive testing: amplifying the effectiveness of software testing
Early Identification of Vulnerable Software Components via Ensemble Learning
Software defect association mining and defect correction effort prediction
Machine learning-based run-time anomaly detection in software systems: An industrial evaluation
Are Slice-Based Cohesion Metrics Actually Useful in Effort-Aware Post-Release Fault-Proneness Prediction? An Empirical Study
Automatic fault detection and diagnosis in complex software systems by information-theoretic monitoring
Applying Machine Learning Algorithms In Software Development
Using the Conceptual Cohesion of Classes for Fault Prediction in Object-Oriented Systems
Automatically learning semantic features for defect prediction
Software Defect Prediction using Bayesian Networks and Kernel Methods
One-class support vector machines - an application in machine fault detection and classification
Model-based performance prediction in software development: a survey
Revisiting the Impact of Classification Techniques on the Performance of Defect Prediction Models
An empirical study on dependence clusters for effort-aware fault-proneness prediction
Evaluating & improving fault localization techniques
A comparative analysis of the efficiency of change metrics and static code attributes for defect prediction
Runtime Prediction of Failure Modes from System Error Logs
Predicting software reliability with neural network ensembles
Fault Diagnosis in Enterprise Software Systems Using Discrete Monitoring Data
A digital LDO with transient enhancement and limit cycle oscillation reduction
Radio frequency energy for non-invasive and minimally invasive skin tightening.
Evaluation of Retrieval Algorithms for Expertise Search
Catching Dynamic Heterogeneous User Data for Identity Linkage Learning
Towards a metrics suite for object oriented design