{"id":"W2017671454","doi":"10.1109/fosm.2008.4659256","title":"The past, present, and future of software evolution","year":2008,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":128,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; University of Waterloo","funders":"","keywords":"Software evolution; Software development; Computer science; Software analytics; Social software engineering; Software; Software engineering; Software system; Software maintenance; Software construction; Data science; Programming language","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":[0.003962863,0.0003238975,0.000426205,0.001383804,0.001761917,0.005929433,0.0006894449,0.002946378,0.001950829],"category_scores_gemma":[0.008203343,0.000333976,0.0003189882,0.001913083,0.007672247,0.01719435,0.001738956,0.003507003,0.0003198982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00223291,"about_ca_system_score_gemma":0.00171418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001619804,"about_ca_topic_score_gemma":0.001304087,"domain_scores_codex":[0.9972982,0.001244763,0.0001483826,0.0004280623,0.0007072239,0.0001734293],"domain_scores_gemma":[0.9956011,0.002407556,0.0004747133,0.0004347942,0.000765593,0.0003161856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004675228,0.00003249471,0.004060401,0.0003345155,0.00001617205,0.0001213313,0.002161797,0.001340467,0.0007921029,0.8392043,0.003125384,0.1487643],"study_design_scores_gemma":[0.00001094049,0.00006365051,0.005298423,0.0006915543,0.0000239074,0.000531521,0.002398606,0.006210257,0.0005024078,0.8309371,0.1532707,0.00006079009],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.1283108,0.3906907,0.1195509,0.2261214,0.003239384,0.00006386233,0.0003279814,0.0002451331,0.1314499],"genre_scores_gemma":[0.8374245,0.1255427,0.02338166,0.004139588,0.002932773,0.00007594479,0.0001433288,0.00005883358,0.006300655],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005929433,"threshold_uncertainty_score":0.02095783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01236962622403282,"score_gpt":0.2343688758300921,"score_spread":0.2219992496060592,"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."}}