{"id":"W2029160271","doi":"10.1007/s11219-014-9232-8","title":"Toward a mature industrial practice of software test automation","year":2014,"lang":"en","type":"article","venue":"Software Quality Journal","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Automation; Software engineering; Test (biology); Software; Computer science; Software testing; Engineering; Operating system","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":[0.05554742,0.001038605,0.001013523,0.005075243,0.00301346,0.01293211,0.005909027,0.006843733,0.004512197],"category_scores_gemma":[0.08901803,0.0009624349,0.0008303528,0.003026246,0.01294138,0.01396697,0.00693124,0.01419596,0.002497121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00435007,"about_ca_system_score_gemma":0.01599631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002345646,"about_ca_topic_score_gemma":0.002354987,"domain_scores_codex":[0.9619495,0.01554881,0.002660264,0.003449217,0.01525475,0.001137439],"domain_scores_gemma":[0.8314699,0.05813688,0.006120679,0.03553459,0.05801304,0.01072488],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009086209,0.001047943,0.005745389,0.0007070448,0.00006568574,0.0002040492,0.003811719,0.006014795,0.005351363,0.5790371,0.01887297,0.379051],"study_design_scores_gemma":[0.0001560906,0.0008233695,0.009265673,0.002939301,0.00006407624,0.001408304,0.003612807,0.03206409,0.01081188,0.5819873,0.3566797,0.0001873921],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01606695,0.006783538,0.8743364,0.04487794,0.0007980423,0.0004202729,0.00006197855,0.002180275,0.05447453],"genre_scores_gemma":[0.2472482,0.00617933,0.7298484,0.005277662,0.00113273,0.0004012964,0.0001754703,0.0006125997,0.009124179],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05554742,"threshold_uncertainty_score":0.2937663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06356689489556629,"score_gpt":0.3314952957414389,"score_spread":0.2679284008458727,"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."}}