{"id":"W4391998081","doi":"10.1007/s10515-024-00417-0","title":"Using data mining techniques to generate test cases from graph transformation systems specifications","year":2024,"lang":"en","type":"article","venue":"Automated Software Engineering","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Transformation (genetics); Graph; Data mining; Test (biology); Graph rewriting; Theoretical computer science; Geology; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003602024,0.0002598249,0.0002179926,0.0005210715,0.0001557317,0.0008516008,0.001066798,0.0001100822,0.000001954715],"category_scores_gemma":[0.0008642449,0.0002697926,0.00004295649,0.001263949,0.00001297833,0.001082731,0.0002323844,0.0001631486,0.00001971223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001152307,"about_ca_system_score_gemma":0.00008168718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003835271,"about_ca_topic_score_gemma":0.00000230418,"domain_scores_codex":[0.998345,0.0000280911,0.0004178658,0.0006095934,0.000260884,0.0003385421],"domain_scores_gemma":[0.9974871,0.001105508,0.0000482192,0.001143755,0.00008859025,0.0001268769],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001332566,0.0004312117,0.005601634,0.002553836,0.000807228,0.002502545,0.01746749,0.343933,0.1143591,0.009293539,0.1968443,0.3061929],"study_design_scores_gemma":[0.00002835574,0.00002909956,0.0002216003,0.0008712587,0.00002207709,0.0001536852,0.000009443686,0.9916781,0.004361268,0.00008528972,0.002194316,0.0003454743],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0141061,0.0008434861,0.86857,0.00007451457,0.0005942629,0.0002622855,0.0001676307,0.1153717,0.00001003699],"genre_scores_gemma":[0.3817632,0.00001428561,0.6178668,0.00003014146,0.0001250005,0.00004419871,0.0001127139,0.00003903894,0.000004620071],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6477451,"threshold_uncertainty_score":0.9999754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1070484345147405,"score_gpt":0.3058533629096707,"score_spread":0.1988049283949302,"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."}}