{"id":"W2007780858","doi":"10.1145/2024587.2024592","title":"Do software process improvements lead to ISO 9126 architectural quality factor improvement","year":2011,"lang":"en","type":"article","venue":"","topic":"Software Engineering Techniques and Practices","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Division of Civil, Mechanical and Manufacturing Innovation","keywords":"Capability Maturity Model Integration; Quality (philosophy); Software quality; Process (computing); Computer science; Software quality control; Systems engineering; Software development process; Engineering; Process management; Reliability engineering; Software engineering; Software; Risk analysis (engineering); Software development; Business","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":[0.03961651,0.0006022255,0.0008711586,0.007049338,0.0007616542,0.003616824,0.001012864,0.001193626,0.002278286],"category_scores_gemma":[0.1751584,0.0006439142,0.002552576,0.007735787,0.00119859,0.004315518,0.00145585,0.001323329,0.000594525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003463958,"about_ca_system_score_gemma":0.01227366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005331652,"about_ca_topic_score_gemma":0.01117911,"domain_scores_codex":[0.9464115,0.01779216,0.006353433,0.002855049,0.02534905,0.001238816],"domain_scores_gemma":[0.7386171,0.1423585,0.05013464,0.007691161,0.05990194,0.001296656],"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":[0.0005220755,0.0003581891,0.07199121,0.04590194,0.0015613,0.000406509,0.009540449,0.002927404,0.007325104,0.006549939,0.005407901,0.847508],"study_design_scores_gemma":[0.0008138709,0.006068038,0.5950148,0.05419861,0.01380421,0.001633063,0.02114312,0.003735222,0.02920235,0.01714244,0.2569441,0.000300302],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6112303,0.2083949,0.05601306,0.02283272,0.001045062,0.002637092,0.002380063,0.0008402239,0.09462654],"genre_scores_gemma":[0.9155791,0.04976335,0.02896367,0.001744652,0.000178925,0.0005825499,0.000904777,0.0001430132,0.002140071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03961651,"threshold_uncertainty_score":0.2095146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05822258764511982,"score_gpt":0.3255096681312251,"score_spread":0.2672870804861052,"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."}}