{"id":"W2120738100","doi":"10.1109/tse.2006.102","title":"Empirical Analysis of Object-Oriented Design Metrics for Predicting High and Low Severity Faults","year":2006,"lang":"en","type":"article","venue":"IEEE Transactions on Software Engineering","topic":"Software Engineering Research","field":"Computer Science","cited_by":349,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Larner College of Medicine, University of Vermont; University of Alberta","keywords":"Computer science; Fault (geology); Data mining; Software fault tolerance; Empirical research; Object-oriented programming; Machine learning; Reliability engineering; Logistic regression; Artificial intelligence; Fault tolerance; Distributed computing; Engineering; Statistics; Mathematics; Programming language","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01827904818554282,"score_gpt":0.260653268209901,"score_spread":0.2423742200243582,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}