{"id":"W2105492891","doi":"10.1145/2020976.2020979","title":"Managing technical debt in software development","year":2011,"lang":"en","type":"article","venue":"ACM SIGSOFT Software Engineering Notes","topic":"Software Engineering Research","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Technical debt; Engineering management; Software quality; Debt; Software engineering; Software development; Software; Computer science; Quality (philosophy); Software project management; Engineering; Value (mathematics); Business; Software construction; 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":[0.02902626,0.0005315061,0.0006374181,0.00224195,0.005268351,0.01075257,0.00239227,0.003181724,0.003371013],"category_scores_gemma":[0.10371,0.0008187142,0.0003912926,0.003991613,0.004928028,0.01829778,0.01484261,0.005127016,0.0009055604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004751252,"about_ca_system_score_gemma":0.006761673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002637389,"about_ca_topic_score_gemma":0.002670226,"domain_scores_codex":[0.977246,0.01275193,0.001766881,0.00137705,0.005414624,0.001443534],"domain_scores_gemma":[0.9266963,0.03278059,0.01332283,0.008975322,0.01166889,0.006556036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000295593,0.0003897993,0.02155045,0.0008089916,0.00007045122,0.001464758,0.02295382,0.01385838,0.0028256,0.3896806,0.02696902,0.5191326],"study_design_scores_gemma":[0.0001725611,0.0004489438,0.01081439,0.001254805,0.00008596168,0.001880738,0.01128638,0.04159994,0.002435467,0.7557902,0.174077,0.000153641],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.3007603,0.01886039,0.4368808,0.08419219,0.001101775,0.0005986654,0.0001418943,0.001272272,0.1561917],"genre_scores_gemma":[0.9137399,0.003678384,0.06492423,0.002735283,0.0004671804,0.0003437516,0.00009683698,0.0002816315,0.01373287],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.02902626,"threshold_uncertainty_score":0.1535074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03005410945615254,"score_gpt":0.2447899692817762,"score_spread":0.2147358598256237,"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."}}