{"id":"W1517245390","doi":"10.1007/978-3-642-20677-1_17","title":"A Test-Driven Approach for Extracting Libraries of Reusable Components from Existing Applications","year":2011,"lang":"en","type":"book-chapter","venue":"Lecture notes in business information processing","topic":"Software Engineering Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Reuse; Code refactoring; Computer science; Agile software development; Component (thermodynamics); Software engineering; Process (computing); Systems engineering; Software; Engineering; Operating system","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002480779,0.0003325564,0.0004320599,0.0005818798,0.0001878455,0.0003868757,0.001054488,0.0003759736,0.00001044652],"category_scores_gemma":[0.001914812,0.0003395886,0.00006212176,0.0004547039,0.00009115005,0.002831092,0.0003255873,0.0004708424,0.000006196918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001042347,"about_ca_system_score_gemma":0.000303752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003238527,"about_ca_topic_score_gemma":0.000001452131,"domain_scores_codex":[0.9980951,0.000008248272,0.0008137722,0.000346925,0.0004221397,0.000313804],"domain_scores_gemma":[0.9961792,0.001687318,0.0007975726,0.0005476236,0.0007354586,0.00005288377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005441291,0.0001232865,0.002213937,0.007137391,0.0000702711,0.000002344418,0.005919841,0.05707616,0.0003286609,0.02730662,0.00003952103,0.8997276],"study_design_scores_gemma":[0.001431007,0.00006272591,0.00338974,0.004226298,0.00007294105,0.00002546953,0.00002762704,0.8071148,0.003412582,0.1602604,0.01814213,0.001834344],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00002933749,0.0004469282,0.9885963,0.0000637567,0.00008567794,0.0007769298,0.00004353984,0.0002631605,0.009694383],"genre_scores_gemma":[0.1197263,0.00002571433,0.878855,0.00006923959,0.000164577,0.000286413,0.000609606,0.00005789255,0.0002051963],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8978932,"threshold_uncertainty_score":0.9999056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05245264204775712,"score_gpt":0.2616725607151117,"score_spread":0.2092199186673546,"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."}}