{"id":"W1987534773","doi":"10.1007/s10515-010-0079-3","title":"Example-based model-transformation testing","year":2011,"lang":"en","type":"article","venue":"Automated Software Engineering","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal; Université de Montréal","funders":"","keywords":"Transformation (genetics); Oracle; Computer science; Model transformation; Function (biology); Premise; Quality (philosophy); Data mining; Reliability engineering; Artificial intelligence; Theoretical computer science; Industrial engineering; Machine learning; Software engineering; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001640097,0.0009904329,0.0006688369,0.0009195866,0.0004215857,0.0008733243,0.002501487,0.0015313,0.008687332],"category_scores_gemma":[0.01565662,0.000481838,0.0009460033,0.0007969475,0.0009871728,0.002622448,0.001724623,0.001409813,0.00101141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005205582,"about_ca_system_score_gemma":0.0007761983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001730677,"about_ca_topic_score_gemma":0.002958821,"domain_scores_codex":[0.9963246,0.001567299,0.0001591882,0.0003253329,0.00139993,0.0002235752],"domain_scores_gemma":[0.9882947,0.007674256,0.0003050863,0.002502334,0.001086942,0.0001365485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001673343,0.001329925,0.006746246,0.000813531,0.000250114,0.001549371,0.0006182463,0.3272672,0.05380504,0.09504671,0.01262049,0.4982798],"study_design_scores_gemma":[0.0001551345,0.0001941566,0.0005153618,0.00003852032,0.00005980112,0.0004311816,0.0000526757,0.9323508,0.02855326,0.0349333,0.002691256,0.00002451908],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06666968,0.00008717061,0.9161105,0.000318263,0.00005925998,0.0001328711,0.0001964922,0.00878639,0.007639336],"genre_scores_gemma":[0.6035677,0.00008758546,0.391696,0.0001528593,0.00001493752,0.0001091319,0.0004578217,0.0008855659,0.003028469],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008687332,"threshold_uncertainty_score":0.02906209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06099352935504673,"score_gpt":0.2320495740092268,"score_spread":0.1710560446541801,"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."}}