{"id":"W3094013987","doi":"10.1109/aire51212.2020.00013","title":"Traceability Network Analysis: A Case Study of Links in Issue Tracking Systems","year":2020,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Traceability; TRACE (psycholinguistics); Computer science; Artifact (error); Perspective (graphical); Closure (psychology); Software; Property (philosophy); Resource (disambiguation); Requirements traceability; Process (computing); Link (geometry); Software engineering; Data mining; Data science; Software development; Artificial intelligence; 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":[0.005607741,0.000381821,0.0002904537,0.004513318,0.002936246,0.00230288,0.001105971,0.001315525,0.001837992],"category_scores_gemma":[0.02714603,0.0002611022,0.0005205022,0.006162569,0.001562811,0.005363166,0.002254548,0.001318027,0.0002318851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001843957,"about_ca_system_score_gemma":0.001503074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01034881,"about_ca_topic_score_gemma":0.01272831,"domain_scores_codex":[0.9956682,0.002138067,0.0002601757,0.0005942016,0.001097751,0.0002416163],"domain_scores_gemma":[0.9645883,0.02523,0.003169915,0.002830955,0.003233941,0.0009469608],"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":[0.0005158168,0.00101834,0.2613813,0.0009649427,0.0002705973,0.009955354,0.05846693,0.1229974,0.01548018,0.1484065,0.007769934,0.3727726],"study_design_scores_gemma":[0.000104146,0.0006347997,0.1192456,0.0004328256,0.0003316121,0.004113504,0.03717379,0.5762776,0.02382608,0.1341093,0.1035355,0.0002154077],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8195899,0.0003591795,0.1669181,0.001170697,0.00003327974,0.0004215118,0.0006334313,0.0005837945,0.0102901],"genre_scores_gemma":[0.9259622,0.0002075633,0.07060859,0.00005510274,0.00001400168,0.0001546139,0.000541052,0.0001121534,0.002344808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01034881,"threshold_uncertainty_score":0.02965689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04344609290700889,"score_gpt":0.306303241064092,"score_spread":0.2628571481570831,"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."}}