{"id":"W2164694023","doi":"10.1145/2492248.2492261","title":"On the relationship between use cases and test suites size","year":2013,"lang":"en","type":"article","venue":"ACM SIGSOFT Software Engineering Notes","topic":"Software Engineering Research","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Test Management Approach; Test (biology); Software quality; Test case; Regression testing; Software; Software engineering; Perspective (graphical); Software metric; Manual testing; Reliability engineering; Software system; Software development; Software construction; Programming language; Engineering; Machine learning; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["metaresearch"],"domain":"methods","study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04649752,0.001541132,0.001090051,0.009793767,0.0009334632,0.004447144,0.002493152,0.003163751,0.003346143],"category_scores_gemma":[0.6578684,0.001201556,0.001505753,0.007911823,0.002861467,0.009695254,0.002418322,0.004127842,0.0006987639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001583598,"about_ca_system_score_gemma":0.001766755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002649019,"about_ca_topic_score_gemma":0.002920717,"domain_scores_codex":[0.9188569,0.03831661,0.008328865,0.007448427,0.02440269,0.002646502],"domain_scores_gemma":[0.01238701,0.9664352,0.01407738,0.002694724,0.003590993,0.0008147254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005692484,0.0003795302,0.9685528,0.0001601051,0.0004722915,0.000400323,0.000635153,0.008353389,0.000714697,0.0009698833,0.0002729351,0.01851954],"study_design_scores_gemma":[0.00006086942,0.001207012,0.9356025,0.0001231742,0.0004241433,0.001831776,0.0009440287,0.05409838,0.001514331,0.003477922,0.0006040619,0.0001119115],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9762211,0.002178167,0.0156167,0.0008895068,0.00003312573,0.000150419,0.0006213064,0.0002229279,0.00406673],"genre_scores_gemma":[0.9946687,0.0003080953,0.003779279,0.00006771131,0.00004259826,0.0001136146,0.0006488574,0.00006135401,0.0003098449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04649752,"threshold_uncertainty_score":0.2459053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05497642424938919,"score_gpt":0.2632104469901711,"score_spread":0.2082340227407819,"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."}}