{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001241302,0.0001276903,0.000170476,0.0001391454,0.0001478406,0.00006074721,0.0001611913,0.00006681889,4.181825e-7],"category_scores_gemma":[0.002075296,0.0001099741,0.0000256101,0.0006147868,0.0002031498,0.0002884987,0.00006322138,0.0001518583,5.837786e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003594661,"about_ca_system_score_gemma":0.00005275707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003138384,"about_ca_topic_score_gemma":0.00003433544,"domain_scores_codex":[0.9988629,0.0000750759,0.000378488,0.0003899701,0.0001026697,0.0001909053],"domain_scores_gemma":[0.9978559,0.00134696,0.0001296856,0.0004433666,0.0001595837,0.00006451261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003790839,0.0004562417,0.7707582,0.0003082414,0.00001285464,0.000004733409,0.005274017,0.001132697,0.003989526,0.0004088314,0.0004502079,0.2171665],"study_design_scores_gemma":[0.0003122772,0.0001305194,0.872484,0.000177418,0.000006953577,0.0000432708,0.00008189931,0.103801,0.001440646,0.0211267,0.0001299749,0.0002653017],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4071725,0.00005439551,0.5880607,0.0001154023,0.0000343944,0.0001161595,0.00001098227,0.004406615,0.00002880859],"genre_scores_gemma":[0.8353387,0.000004755736,0.1645634,0.0000396818,0.000005933712,0.000009539333,0.000005903872,0.000007261479,0.00002478046],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4281662,"threshold_uncertainty_score":0.4484613,"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."}}