{"id":"W4382934973","doi":"10.21203/rs.3.rs-2998318/v1","title":"Test Plan Generation for Live Testing of Cloud Services","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ericsson (Canada); Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Test plan; Test (biology); Plan (archaeology); Software deployment; Test Management Approach; Computer science; Schedule; Production (economics); Test case; Task (project management); Reliability engineering; Cloud computing; Service (business); Engineering; Systems engineering; Software engineering; Operating system; Software; Machine learning","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001308413,0.0009990047,0.0003845704,0.001426991,0.0003186605,0.000757677,0.001384341,0.0008413358,0.01034524],"category_scores_gemma":[0.00793876,0.0003787123,0.0007896824,0.0003942825,0.0007358004,0.0009143144,0.0009973396,0.0007287585,0.00100966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008946723,"about_ca_system_score_gemma":0.001291055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004853664,"about_ca_topic_score_gemma":0.00496489,"domain_scores_codex":[0.998823,0.0004839833,0.00005292853,0.0001684618,0.00030615,0.0001654576],"domain_scores_gemma":[0.9951293,0.003324798,0.0003137346,0.0005164226,0.0005690519,0.0001465408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001743154,0.0005685097,0.007489646,0.0004730191,0.0001141361,0.001165715,0.0003737262,0.5122144,0.0363932,0.01552988,0.01875567,0.405179],"study_design_scores_gemma":[0.0001103132,0.0001477999,0.0004773264,0.0000277959,0.00002407065,0.0001022659,0.0000483044,0.974053,0.01406796,0.009565584,0.001363325,0.00001229523],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0867977,0.0001892755,0.8906793,0.0003821497,0.00006522583,0.0003892432,0.001616969,0.01590918,0.003970959],"genre_scores_gemma":[0.7163465,0.00006950858,0.2770955,0.0001590054,0.00002788664,0.0003264454,0.002735962,0.0008971558,0.002341956],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01034524,"threshold_uncertainty_score":0.0346083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1930620486014544,"score_gpt":0.399791728425844,"score_spread":0.2067296798243896,"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."}}