ML-enabled systems Software Engineering for Artificial Intelligence Empirical Software Engineering.
AI Technical Debt, software quality, Survey Studies, Software Engineering for Artificial Intelligence, Empirical Software Engineering
Fully Qualified Name Resolution, Machine Learning, Text Classification, Stack Overflow
Infrastructure-as-Code, Code Smells, Metrics-based detectors, Unsupervised Learning, TOSCA
Smart Contracts, Vulnerabilities, Benchmarks, Systematic literature review
Chaos Engineering, Resilience Testing, Fault Injection, Mining SoftwareRepositories, Tool Adoption