{"id":"W2084111010","doi":"10.1002/stvr.458","title":"An approach for testing pointcut descriptors in AspectJ","year":2011,"lang":"en","type":"article","venue":"Software Testing Verification and Reliability","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"RealNetworks (Canada)","funders":"","keywords":"AspectJ; Computer science; Aspect-oriented programming; Modularity (biology); Set (abstract data type); Programming language; Compile time; Compiler; Software engineering; Base (topology); Test case; Software","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":[0.003179387,0.0008291818,0.0005710592,0.002268935,0.0005271341,0.001822315,0.002342277,0.001642197,0.001491597],"category_scores_gemma":[0.009680127,0.0009432166,0.001019321,0.0009593121,0.001574166,0.002545488,0.001843411,0.001625875,0.0005225118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006323656,"about_ca_system_score_gemma":0.001249518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002235526,"about_ca_topic_score_gemma":0.001776204,"domain_scores_codex":[0.994276,0.00118716,0.0004775529,0.001030319,0.002625299,0.0004037959],"domain_scores_gemma":[0.9913347,0.003477745,0.00112204,0.001991791,0.001788703,0.000284961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001705211,0.001954918,0.06507691,0.001079538,0.000262892,0.003540016,0.002732854,0.04133151,0.3690806,0.0559991,0.007039491,0.450197],"study_design_scores_gemma":[0.0003417541,0.002095799,0.01417493,0.000284349,0.000305201,0.002986566,0.0004451898,0.5251177,0.3771605,0.03398408,0.0428228,0.0002811557],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.118329,0.0002227441,0.8518791,0.0001753456,0.00009236464,0.0005280019,0.0002108529,0.0248786,0.003684025],"genre_scores_gemma":[0.4894142,0.0001447932,0.5053358,0.0002049268,0.00004291994,0.0003164147,0.0006687192,0.002061921,0.001810176],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003179387,"threshold_uncertainty_score":0.01681441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1369196117904165,"score_gpt":0.2954368131809403,"score_spread":0.1585172013905238,"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."}}