{"id":"W2053418084","doi":"10.1109/iceccs.2013.32","title":"Merging Test Models","year":2013,"lang":"en","type":"article","venue":"","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Computer science; Unified Modeling Language; Test (biology); Model-based testing; Integration testing; Unit testing; Test Management Approach; Test case; Software engineering; Data mining; Programming language; Machine learning; Software; Software development","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00791669,0.001846871,0.001389872,0.00379338,0.0007685606,0.004531408,0.004700368,0.002377297,0.008679284],"category_scores_gemma":[0.03558939,0.001216533,0.003244264,0.003032104,0.001312131,0.006879342,0.003797923,0.002699006,0.002206718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001773301,"about_ca_system_score_gemma":0.002875236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004088615,"about_ca_topic_score_gemma":0.002964741,"domain_scores_codex":[0.9849284,0.004732606,0.001398383,0.001568591,0.006569201,0.0008027232],"domain_scores_gemma":[0.975535,0.01127591,0.001212994,0.007109361,0.004464502,0.0004022223],"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":[0.001088039,0.0005418585,0.01233087,0.001528584,0.0007028212,0.002272311,0.002068568,0.2361302,0.02492814,0.1827179,0.01588753,0.5198032],"study_design_scores_gemma":[0.0001857835,0.0005610241,0.002308441,0.0005433558,0.0007703672,0.001415501,0.0005280079,0.6527901,0.05297664,0.1938944,0.09384673,0.0001795656],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01895392,0.0005613251,0.9588071,0.0005461776,0.0001163403,0.000499473,0.001097272,0.007403689,0.01201479],"genre_scores_gemma":[0.3596848,0.001007569,0.6153008,0.0007483468,0.0001247423,0.0007401558,0.01104993,0.003164854,0.008178882],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008679284,"threshold_uncertainty_score":0.04186797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02302779249184031,"score_gpt":0.2329466223616793,"score_spread":0.209918829869839,"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."}}