{"id":"W58067616","doi":"10.1007/978-3-642-35267-6_13","title":"Regression Testing of Object-Oriented Software: A Technique Based on Use Cases and Associated Tool","year":2012,"lang":"en","type":"book-chapter","venue":"Communications in computer and information science","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Regression testing; Computer science; Software; Information retrieval; Data mining; Software engineering; Programming language; Software development; Software construction","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":[0.00131202,0.001286244,0.0005999994,0.002464376,0.0004431401,0.001150427,0.002221148,0.000969431,0.003974374],"category_scores_gemma":[0.007140226,0.0008430628,0.0009055561,0.002113336,0.0009964814,0.002053804,0.000955274,0.001797234,0.001044433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002556396,"about_ca_system_score_gemma":0.000427425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006661269,"about_ca_topic_score_gemma":0.001191052,"domain_scores_codex":[0.9981254,0.0005569235,0.0001186635,0.0001776087,0.0009508911,0.00007052554],"domain_scores_gemma":[0.9938811,0.004498958,0.0003626431,0.000754406,0.0004392114,0.00006367332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001199814,0.0002776291,0.002261526,0.0006145718,0.00006858793,0.001250663,0.0007753708,0.01260781,0.04182232,0.05630666,0.007074056,0.8768208],"study_design_scores_gemma":[0.00009930237,0.0006512744,0.008287124,0.0008434281,0.0004572132,0.01194071,0.0003977675,0.5824846,0.1782913,0.1177833,0.09857399,0.0001899351],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01074164,0.0006406887,0.9745377,0.0001633642,0.00004600085,0.0001002116,0.00006239812,0.003962989,0.009745008],"genre_scores_gemma":[0.1617855,0.001314504,0.8248852,0.0001085894,0.00006844703,0.0002114271,0.0002730096,0.001388354,0.009964976],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003974374,"threshold_uncertainty_score":0.01329559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07075414036268389,"score_gpt":0.3047905264151923,"score_spread":0.2340363860525084,"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."}}