{"id":"W2078515278","doi":"10.5555/2820282.2820288","title":"Detection of software evolution phases based on development activities","year":2015,"lang":"en","type":"article","venue":"International Conference on Program Comprehension","topic":"Software Engineering Research","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Software evolution; Computer science; Software development; Granularity; Software; Software construction; Commit; Software engineering; Software sizing; Software analytics; Software metric; Software maintenance; Data mining; Database; 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":[0.002098505,0.0006151977,0.0005342767,0.008579115,0.0004790755,0.001268542,0.0006515511,0.0005285341,0.000909474],"category_scores_gemma":[0.01767756,0.0004594925,0.0006180563,0.003603047,0.0003871794,0.001335879,0.0009575192,0.0008300123,0.0002882957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004997996,"about_ca_system_score_gemma":0.001279079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004172517,"about_ca_topic_score_gemma":0.005663057,"domain_scores_codex":[0.9977502,0.000444465,0.0002642079,0.0005105524,0.0008856354,0.0001449583],"domain_scores_gemma":[0.9788681,0.01114916,0.003911883,0.00166939,0.003804124,0.0005973309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006612702,0.0003553368,0.2658521,0.0009059649,0.0001641666,0.0007125348,0.003293892,0.02619028,0.05786118,0.006431076,0.002771178,0.6348011],"study_design_scores_gemma":[0.0001176936,0.0007528017,0.3430374,0.0003680441,0.0003275989,0.001803711,0.002027082,0.5430182,0.07831743,0.01270951,0.01732207,0.0001985406],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6189492,0.0008969156,0.3708012,0.0002251335,0.00003706729,0.0005435966,0.001688577,0.003562541,0.003295763],"genre_scores_gemma":[0.725931,0.0003580408,0.2690944,0.00003686899,0.00002263745,0.0002356412,0.002995895,0.0002805304,0.001044883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008579115,"threshold_uncertainty_score":0.01109809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08285909543163568,"score_gpt":0.3309184893314647,"score_spread":0.2480593938998291,"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."}}