{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008667657,0.0000611239,0.00005645973,0.00004971453,0.00005710912,0.0001505708,0.0004794149,0.00002190051,0.00003665519],"category_scores_gemma":[0.0001209371,0.00004873391,0.00002054861,0.0001629309,0.00001212665,0.0005702994,0.0001597363,0.00004832175,0.0002874265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009576101,"about_ca_system_score_gemma":0.00001345614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002399197,"about_ca_topic_score_gemma":4.314587e-7,"domain_scores_codex":[0.9994781,0.000007890427,0.00008359826,0.0001699926,0.0001039844,0.0001564465],"domain_scores_gemma":[0.9992461,0.0002454849,0.00001964713,0.0003805213,0.00005700432,0.00005122047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[1.385585e-7,0.00008779276,0.005807247,0.000008511437,0.00000573704,0.00000726114,0.0004603335,0.0002528174,0.0007634918,0.2553694,0.5057685,0.2314687],"study_design_scores_gemma":[0.00002072329,0.00001436295,0.0003316508,0.000006695333,3.38975e-7,0.000007039366,7.177171e-7,0.5570823,0.0007178621,0.4415771,0.0001708996,0.00007028917],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0009475739,0.00002102094,0.9447137,0.0009985025,0.0000466451,0.00005981697,5.720982e-8,0.0187722,0.03444055],"genre_scores_gemma":[0.5208011,9.167959e-7,0.478309,0.0003831493,0.00001133307,0.00001467583,9.047276e-8,0.000002934422,0.0004768417],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5568295,"threshold_uncertainty_score":0.3694383,"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."}}