{"id":"W2020923349","doi":"10.1145/1353482.1353500","title":"Tool support for understanding and diagnosing pointcut expressions","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"AspectJ; Computer science; Programming language; Eclipse; Extension (predicate logic); Code (set theory); Aspect-oriented programming; Base (topology); Source code; Software engineering; Software; Set (abstract data type)","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":[0.005468795,0.002885722,0.001587962,0.005093426,0.001011356,0.004996975,0.004721821,0.002535096,0.02178121],"category_scores_gemma":[0.03830856,0.002644914,0.001927643,0.002417806,0.00084471,0.007104658,0.002618204,0.003703329,0.01215851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001064013,"about_ca_system_score_gemma":0.002499244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0017926,"about_ca_topic_score_gemma":0.002478401,"domain_scores_codex":[0.9944354,0.001017419,0.001057055,0.001222287,0.001938628,0.0003291568],"domain_scores_gemma":[0.9606829,0.02621731,0.00163161,0.006484108,0.004315575,0.0006685674],"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":[0.0009112338,0.0005260588,0.01039247,0.00154335,0.0001625054,0.001689762,0.002058745,0.02000725,0.04150562,0.04105807,0.1014555,0.7786894],"study_design_scores_gemma":[0.0007069192,0.0003042439,0.005321356,0.001200207,0.0001712471,0.003353284,0.0006762188,0.5567666,0.1296609,0.06966519,0.2317773,0.0003965909],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004615623,0.000167637,0.8366851,0.0002373271,0.00007950833,0.0002068346,0.001103226,0.1538387,0.003066105],"genre_scores_gemma":[0.04998268,0.0003298562,0.9226053,0.0001707043,0.00005830174,0.00037263,0.004566848,0.01851143,0.003402262],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02178121,"threshold_uncertainty_score":0.07286537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1766642299827433,"score_gpt":0.3208637398031131,"score_spread":0.1441995098203699,"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."}}