{"id":"W3217469509","doi":"10.1109/vlsi-soc53125.2021.9606984","title":"Aspect-Oriented Design Automation with Model Transformation","year":2021,"lang":"en","type":"article","venue":"","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Infineon Technologies (Canada)","funders":"Ministry of Education","keywords":"Debugging; Computer science; Reuse; Embedded system; Automation; Scripting language; Model transformation; Electronic design automation; Code generation; Code reuse; Coding (social sciences); Model-driven architecture; System on a chip; Software engineering; Computer architecture; Programming language; Software; Engineering; Software development; Operating system","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":[0.001067327,0.001132339,0.0005142363,0.0009066201,0.0003297724,0.001062824,0.001091075,0.0006911976,0.002078207],"category_scores_gemma":[0.002413835,0.0005176865,0.001462054,0.0006284479,0.0009265234,0.0008268463,0.001224053,0.001845124,0.001071591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004406073,"about_ca_system_score_gemma":0.001392903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001168535,"about_ca_topic_score_gemma":0.001158204,"domain_scores_codex":[0.9983596,0.0005250749,0.000118668,0.0002525448,0.0006400752,0.0001040751],"domain_scores_gemma":[0.998906,0.000357328,0.00008900378,0.0004582374,0.0001708262,0.00001853247],"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":[0.0001425061,0.0002826962,0.001140139,0.0009137542,0.0002166996,0.0008452889,0.0007468923,0.3016672,0.1062888,0.2006879,0.007458685,0.3796094],"study_design_scores_gemma":[0.00009585552,0.0001561853,0.0003297472,0.0001268006,0.0001055308,0.0005577918,0.00007317663,0.7319967,0.07801066,0.1099483,0.07855155,0.0000476551],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001771899,0.00004658978,0.9939658,0.00004298213,0.00002003333,0.00008539233,0.00005125922,0.002329433,0.001686536],"genre_scores_gemma":[0.1047854,0.0004206004,0.8901,0.0001227636,0.00002903986,0.0005472501,0.0005413613,0.001042977,0.002410514],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002078207,"threshold_uncertainty_score":0.006952286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04705287650585926,"score_gpt":0.2727172468862785,"score_spread":0.2256643703804193,"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."}}