{"id":"W2054446920","doi":"10.1109/icstw.2014.39","title":"Murphy Tools: Utilizing Extracted GUI Models for Industrial Software Testing","year":2014,"lang":"en","type":"article","venue":"","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Graphical user interface; Software engineering; Graphical user interface testing; Keyword-driven testing; Process (computing); Model-based testing; Non-regression testing; Software; White-box testing; Manual testing; User interface; Test case; Software development; Software construction; Programming language; Machine learning; User interface design","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0009296309,0.00020804,0.0002360794,0.0001369548,0.0002603302,0.0004105239,0.0009665584,0.0001684427,0.000003898685],"category_scores_gemma":[0.009454413,0.0001895164,0.00008476186,0.0004609018,0.00003285946,0.0008525809,0.0002760854,0.0002043523,0.000007848902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003804498,"about_ca_system_score_gemma":0.00009659668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009294223,"about_ca_topic_score_gemma":0.000002145878,"domain_scores_codex":[0.9983441,0.00006460961,0.000351811,0.0005361011,0.0002517117,0.0004516706],"domain_scores_gemma":[0.9949849,0.003728861,0.0001474531,0.0007343436,0.0002830392,0.0001213947],"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":[0.000006821039,0.00005149666,0.001793019,0.0000192788,0.000009518398,0.000002153057,0.0001245722,0.0004575882,0.0001370915,0.02323006,0.0284164,0.945752],"study_design_scores_gemma":[0.0004369823,0.0001815823,0.0001774711,0.0001088467,0.000007903076,0.00001861849,0.000003677769,0.7716656,0.0008424869,0.2234095,0.002809425,0.0003378754],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00169875,0.00001747098,0.9704773,0.0001824405,0.0003037949,0.0003057889,0.000002985527,0.02342382,0.003587613],"genre_scores_gemma":[0.2773975,2.923077e-7,0.7217969,0.000404923,0.0002200394,0.00006075775,0.000004338633,0.00001929325,0.00009599687],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9454141,"threshold_uncertainty_score":0.9988894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2133653832814831,"score_gpt":0.2982011252407428,"score_spread":0.08483574195925972,"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."}}