{"id":"W188170610","doi":"","title":"ACCOMMODATING USABILITY DRIVEN CHANGES IN EXISTING SOFTWARE ARCHITECTURE","year":2004,"lang":"en","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Usability and User Interface Design","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Usability; Computer science; Component-based usability testing; Heuristic evaluation; Usability engineering; Software engineering; Human–computer interaction; Software architecture; User interface; Usability inspection; Usability goals; System usability scale; Web usability; Software; 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":[0.008341981,0.001000744,0.0003908244,0.001166891,0.001271159,0.003904315,0.001738719,0.002149749,0.001726862],"category_scores_gemma":[0.053498,0.0006981089,0.0006793339,0.0005760396,0.001360674,0.004125402,0.002211635,0.001999906,0.0005211681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001778289,"about_ca_system_score_gemma":0.001928787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002002656,"about_ca_topic_score_gemma":0.003658127,"domain_scores_codex":[0.9898682,0.004506135,0.0007217968,0.0009078174,0.003248757,0.0007474228],"domain_scores_gemma":[0.9521748,0.02108242,0.003845831,0.01270558,0.009453884,0.0007374748],"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":[0.0006446846,0.003823852,0.08224755,0.00203501,0.0004582747,0.003277268,0.03450794,0.03607892,0.2779612,0.04665773,0.005024551,0.507283],"study_design_scores_gemma":[0.0006798229,0.01080537,0.2249752,0.001277182,0.001168167,0.008816062,0.02532315,0.2183147,0.1917973,0.1566259,0.159524,0.0006932054],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8030702,0.0003172701,0.1708739,0.001671726,0.0001400214,0.000772587,0.00004548129,0.001236389,0.02187229],"genre_scores_gemma":[0.9152516,0.0001616153,0.08013866,0.0004930948,0.00003190113,0.0003205017,0.0000931976,0.0002326134,0.003276815],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.008341981,"threshold_uncertainty_score":0.04411715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02582635405503405,"score_gpt":0.2576861510326877,"score_spread":0.2318597969776536,"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."}}