{"id":"W3102206389","doi":"10.1145/3419604.3419628","title":"Test Generation Tool for Modified Condition/Decision Coverage","year":2020,"lang":"en","type":"article","venue":"","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Traceability; Model-based testing; Integration testing; Code coverage; Test strategy; White-box testing; Dataflow; Extended finite-state machine; Non-regression testing; Keyword-driven testing; Manual testing; Reliability engineering; Software performance testing; Test case; Software; Finite-state machine; Software system; Algorithm; Software engineering; Programming language; 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":[0.0001315866,0.00007713106,0.00008508384,0.00002908297,0.0001120814,0.000170902,0.0002965977,0.00004011026,0.00001133235],"category_scores_gemma":[0.001160998,0.00006744842,0.00004026368,0.0001450599,0.000009224846,0.000267069,0.000073853,0.00004160189,0.0000268029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001528708,"about_ca_system_score_gemma":0.00003110218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000483701,"about_ca_topic_score_gemma":4.155117e-7,"domain_scores_codex":[0.9993238,0.00001059653,0.0001502037,0.0002658996,0.0001355558,0.0001139601],"domain_scores_gemma":[0.9989659,0.0006201903,0.00004093005,0.0002288359,0.000093059,0.00005103767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009361635,0.00006745995,0.0007058927,0.0000170148,0.000005680327,0.000005894993,0.0002366686,0.0009619562,0.006156665,0.0604612,0.7717786,0.1595936],"study_design_scores_gemma":[0.0003048987,0.0002150412,0.0002724039,0.000007851647,0.000002408701,0.000004140993,3.122934e-7,0.9194783,0.009408762,0.0675896,0.002571546,0.0001447426],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004033453,0.000008841586,0.9872245,0.001557319,0.0001013134,0.0002124524,0.000007359859,0.006328423,0.000526359],"genre_scores_gemma":[0.5797835,0.000001382158,0.4171332,0.002860245,0.0001117956,0.00003085747,0.00001204017,0.000004595866,0.00006236964],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9185163,"threshold_uncertainty_score":0.2750466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05601324452544399,"score_gpt":0.2919229312983528,"score_spread":0.2359096867729089,"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."}}