{"id":"W3013655954","doi":"10.1002/stvr.380","title":"Automated discovery of state transitions and their functions in source code","year":2007,"lang":"en","type":"article","venue":"Software Testing Verification and Reliability","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Engineering and Physical Sciences Research Council; National Aeronautics and Space Administration","keywords":"Computer science; State (computer science); Source code; Finite-state machine; Reverse engineering; Set (abstract data type); Code (set theory); Programming language; Software; Software engineering; Transition (genetics); Theoretical computer science","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":[0.001507949,0.0006328678,0.0004522111,0.001404448,0.0004059198,0.001043706,0.001011047,0.0008669998,0.001302654],"category_scores_gemma":[0.01324867,0.0005962955,0.0005502693,0.0005948549,0.001234705,0.001270514,0.0008048479,0.000954599,0.0004285913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005454903,"about_ca_system_score_gemma":0.001062194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00188932,"about_ca_topic_score_gemma":0.001583992,"domain_scores_codex":[0.9983682,0.0005929438,0.0001005502,0.0002259122,0.0006060617,0.0001063816],"domain_scores_gemma":[0.98507,0.01043524,0.001734148,0.001719329,0.0009426025,0.00009865344],"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":[0.0008378351,0.0003854986,0.03009087,0.0008114832,0.0001406448,0.002318598,0.002077669,0.206153,0.1895829,0.05965555,0.002409809,0.5055362],"study_design_scores_gemma":[0.00003278826,0.00009357277,0.002062293,0.00005742852,0.00004107846,0.0004320913,0.00005824317,0.8646767,0.1131679,0.01695414,0.002390789,0.00003292393],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2358244,0.0001894166,0.7460938,0.0001743152,0.00002270662,0.0001042942,0.00018778,0.01596318,0.001440115],"genre_scores_gemma":[0.7598594,0.0001219438,0.2380559,0.00002725018,0.000006801225,0.00007062204,0.0004446768,0.0006974307,0.0007159485],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00188932,"threshold_uncertainty_score":0.007974923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01937952920259313,"score_gpt":0.2572724153819903,"score_spread":0.2378928861793972,"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."}}