Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper
Query: Guiding Deep Learning System Testing Using Surprise Adequacy
DeepMutation: Mutation Testing of Deep Learning Systems
Coverage-Guided Fuzzing for Deep Neural Networks.
An architectural model for software testing lesson learned systems
Scaling regression testing to large software systems
Robust test automation using contextual clues
Bit-Climbing, Representational Bias, and Test Suite Design.
The evaluation of program-based software test data adequacy criteria
Regression Test Selection Techniques: A Survey
Adversarial Sample Detection for Deep Neural Network through Model Mutation Testing
Observations and lessons learned from automated testing
Visual Turing test for computer vision systems
Automated Directed Fairness Testing
FAST approaches to scalable similarity-based test case prioritization
What’s your ML test score? A rubric for ML production systems
A Probabilistic Analysis of the Efficiency of Automated Software Testing
Code coverage and test suite effectiveness: Empirical study with real bugs in large systems
Automated black-box testing with abstract VDM oracles
DART: directed automated random testing
Multiple-implementation testing of supervised learning software
Knowledge based evaluation of software systems: a case study
Heart Disease Diagnosis System Using Fuzzy Logic
Applying the NSF broader impacts criteria to HCI research
Physical One-Way Functions
Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
Improving Credit Card Fraud Detection using a Meta- Classification Strategy