{"id":"W4411272046","doi":"10.1109/msr66628.2025.00100","title":"How Do Infrastructure-as-Code Practitioners Update Their Dependencies? An Empirical Study on Terraform Module Updates","year":2025,"lang":"en","type":"article","venue":"","topic":"BIM and Construction Integration","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; École de Technologie Supérieure; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Code (set theory); Empirical research; Programming language","routes":{"ca_aff":true,"ca_fund":true,"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":[0.02236984,0.0003043712,0.0003119584,0.003133808,0.001994769,0.003285529,0.001478113,0.001459578,0.0017995],"category_scores_gemma":[0.1719009,0.0006626769,0.0002145726,0.002973732,0.002813506,0.007296482,0.003066631,0.002369043,0.0004083311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004415525,"about_ca_system_score_gemma":0.006469034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01104436,"about_ca_topic_score_gemma":0.01558434,"domain_scores_codex":[0.9793489,0.008823457,0.001140899,0.00207639,0.0070308,0.001579656],"domain_scores_gemma":[0.756959,0.156325,0.042293,0.008505832,0.02845456,0.007462666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.000127673,0.0003453674,0.3486135,0.0007436211,0.00004267763,0.001707587,0.5169489,0.0007079845,0.003416149,0.004965857,0.006164534,0.1162161],"study_design_scores_gemma":[0.00003068099,0.0005012668,0.3180466,0.001172167,0.00005241434,0.001449122,0.5975184,0.004441912,0.002019139,0.002575531,0.07203011,0.0001627461],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991788,0.0003481541,0.002577825,0.001734742,0.00002035673,0.00006510707,0.00007830557,0.00006881742,0.003318701],"genre_scores_gemma":[0.9957412,0.0003993115,0.002136802,0.0003086246,0.0000114416,0.00006815945,0.0001111518,0.00005730419,0.001166049],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02236984,"threshold_uncertainty_score":0.1183045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01140236756852871,"score_gpt":0.2652378635119436,"score_spread":0.2538354959434149,"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."}}