Retrofitting a Factory Automation System to Address Market Needs and Societal Changes
Towards Logistic Regression Models for Predicting Fault-prone Code across Software Projects Erika Camargo and Ochimizu Koichiro Japan Institute of Science.
Towards Logistic Regression Models for Predicting Fault-prone Code across Software Projects
Real-Time Embedded Systems
Real-Time Embedded Systems Assist. dr. Barbara Koroušić Seljak [email protected] (01) 4773-363.
