{"id":"W2004586836","doi":"10.1145/2347696.2347698","title":"Technical debt in software development","year":2012,"lang":"en","type":"article","venue":"ACM SIGSOFT Software Engineering Notes","topic":"Software Engineering Research","field":"Computer Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Technical debt; Software engineering; Debt; Software; Engineering management; Computer science; Software development; Software quality; Engineering; Systems engineering; Business; Finance","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":[0.009961194,0.0005448366,0.0004941902,0.002493305,0.004240759,0.008931414,0.001129535,0.002998426,0.003887699],"category_scores_gemma":[0.04265603,0.0007314953,0.0003627043,0.004775977,0.01060624,0.01860461,0.008805452,0.005004924,0.0006828542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006259839,"about_ca_system_score_gemma":0.002809424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003630741,"about_ca_topic_score_gemma":0.0025965,"domain_scores_codex":[0.9887598,0.006988925,0.0007692471,0.0007170759,0.002243088,0.0005219814],"domain_scores_gemma":[0.9721155,0.01732951,0.003362634,0.002706588,0.00300368,0.00148211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005627341,0.00003746262,0.002974209,0.0002461933,0.00001028296,0.0004412781,0.01555707,0.001841072,0.0004697922,0.9066515,0.007927432,0.06378739],"study_design_scores_gemma":[0.0000320432,0.00004844819,0.002136529,0.0004279903,0.00001191387,0.0007194393,0.00573313,0.004798783,0.0004953124,0.8604369,0.1251239,0.00003555875],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1708653,0.03277584,0.368087,0.08036327,0.001409238,0.0002391097,0.0002496521,0.000851104,0.3451595],"genre_scores_gemma":[0.9378669,0.006457031,0.03187903,0.002322047,0.0004259127,0.000226104,0.00009572961,0.0003291853,0.02039802],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009961194,"threshold_uncertainty_score":0.05268043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02189103452696845,"score_gpt":0.2594726961300906,"score_spread":0.2375816616031222,"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."}}