{"id":"W4320009943","doi":"10.2139/ssrn.4341190","title":"Test Plan Generation for Live Testing of Cloud Services","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Test plan; Test (biology); Plan (archaeology); Software deployment; Production (economics); Schedule; Computer science; Test Management Approach; Task (project management); Cloud computing; Test case; Reliability engineering; Engineering; Systems engineering; Software engineering; Operating system; Software; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001176767,0.00102177,0.0003488378,0.001434661,0.0003238577,0.0007117857,0.001350103,0.000755176,0.00960086],"category_scores_gemma":[0.007020503,0.0003336259,0.0007261806,0.0003786809,0.0006899153,0.0008280263,0.0009048019,0.0006709974,0.0008690879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009767779,"about_ca_system_score_gemma":0.001491557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006221776,"about_ca_topic_score_gemma":0.006067797,"domain_scores_codex":[0.9989642,0.0004082439,0.00004510153,0.0001541711,0.000275852,0.0001524125],"domain_scores_gemma":[0.995558,0.002985921,0.0003091608,0.0004161558,0.0005864759,0.0001443552],"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":[0.00158236,0.0005796604,0.009006526,0.0004296176,0.000113221,0.001397491,0.000364698,0.5980849,0.03415565,0.01233835,0.01615882,0.3257887],"study_design_scores_gemma":[0.00009208109,0.0001620104,0.0005560826,0.00002412016,0.00002337367,0.000100403,0.00005133949,0.978842,0.01239377,0.006547258,0.00119589,0.00001181976],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1288011,0.0002034706,0.846152,0.0004211521,0.00007559516,0.0005058167,0.002098848,0.01698103,0.004760941],"genre_scores_gemma":[0.7677922,0.00005875334,0.2265804,0.0001440279,0.00002182097,0.0003191616,0.002514458,0.00062992,0.001939376],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00960086,"threshold_uncertainty_score":0.03211802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02232859703515864,"score_gpt":0.2508414005541387,"score_spread":0.2285128035189801,"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."}}