Towards quality assurance of software product lines with adversarial configurations

INIS

• computer codes 100%
• configuration 100%
• quality assurance 100%
• machine learning 80%
• space 20%
• interactions 20%
• constraints 20%
• accuracy 20%
• yields 20%
• classification 20%
• approximations 20%
• engineers 20%
• testing 20%

Keyphrases

• Adversarial Learning 25%
• Limited Training Data 25%
• Machine Learning Classifiers 25%
• Learning from Constraints 25%

Computer Science

• Misclassification Rate 25%