{"id":"W1916225420","doi":"10.1109/ictta.2004.1307898","title":"Timed test cases generation based on test purposes expressed as message sequence charts","year":2004,"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":"","keywords":"Computer science; Test (biology); Test case; Process (computing); Reliability engineering; Test Management Approach; Test suite; Fault (geology); Formal specification; Sequence (biology); Software engineering; Programming language; Software; Software system; Engineering; Software construction; Machine learning","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":[0.0002505576,0.0002162197,0.0001586402,0.0001641084,0.0002187091,0.0002925308,0.0006110718,0.00007839667,0.00003774026],"category_scores_gemma":[0.002856999,0.0001859924,0.00005082696,0.0003905982,0.00005717513,0.0003785236,0.00009084675,0.00011927,0.0001479503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008944888,"about_ca_system_score_gemma":0.0002032014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000410782,"about_ca_topic_score_gemma":0.00001372921,"domain_scores_codex":[0.998525,0.00003788777,0.0002202252,0.0005420872,0.0003785828,0.0002961771],"domain_scores_gemma":[0.9975289,0.001304489,0.00009136903,0.0008321956,0.0001221061,0.0001209419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003789526,0.004936211,0.01866233,0.0001591736,0.00003557429,0.004198713,0.001484498,0.01466943,0.6239437,0.03277486,0.171422,0.1276756],"study_design_scores_gemma":[0.000703838,0.001353084,0.0007623158,0.0002504279,0.000009762332,0.0001596649,0.000002786739,0.2160726,0.76523,0.01379994,0.0009664681,0.000689132],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04532987,0.0000549513,0.9030403,0.005566994,0.0003298148,0.0007353628,0.00002329768,0.03403902,0.01088032],"genre_scores_gemma":[0.8047642,0.000004098451,0.1924798,0.002338554,0.00008126488,0.00006847033,0.00001077155,0.00001464556,0.0002381688],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7594343,"threshold_uncertainty_score":0.758455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05401090948607411,"score_gpt":0.2868837883451243,"score_spread":0.2328728788590502,"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."}}