{"id":"W2504514184","doi":"10.1109/wcre.1996.558936","title":"A cliche-based environment to support architectural reverse engineering","year":2002,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Software engineering; Architectural pattern; Architectural geometry; Software; Software architecture; Architectural model; Architecture; Reverse engineering; Software system; Set (abstract data type); Cliché; Programming language; Systems engineering; Software construction; Engineering","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":[0.002824696,0.001404961,0.001058506,0.002196994,0.001387282,0.003671506,0.004064011,0.002252924,0.04613578],"category_scores_gemma":[0.009350407,0.001425465,0.001213076,0.001614702,0.001118387,0.005735199,0.007385945,0.003785138,0.01716492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006837731,"about_ca_system_score_gemma":0.001146564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001600496,"about_ca_topic_score_gemma":0.003213505,"domain_scores_codex":[0.9984196,0.0003324186,0.0001548463,0.0002748262,0.0007045513,0.0001136787],"domain_scores_gemma":[0.9950095,0.001752299,0.0002569521,0.001832242,0.0007359609,0.0004129733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001835594,0.0007473846,0.00222603,0.0008854631,0.0001382557,0.002425562,0.002015211,0.02118661,0.02930732,0.09070847,0.2897229,0.5588012],"study_design_scores_gemma":[0.0005782392,0.0002270526,0.0006352974,0.0002071895,0.00005913387,0.0008639311,0.0001988702,0.1604075,0.02034571,0.06557184,0.7507007,0.000204503],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003627447,0.0002118793,0.8002036,0.0004378425,0.0002975008,0.0004475151,0.002186707,0.1785632,0.01402437],"genre_scores_gemma":[0.03940656,0.0003478586,0.8896808,0.0005527913,0.0001504083,0.001153482,0.009405135,0.02436418,0.03493873],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04613578,"threshold_uncertainty_score":0.1543396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02031722217689986,"score_gpt":0.218482936718858,"score_spread":0.1981657145419582,"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."}}