{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001684977,0.0001769475,0.0002061577,0.0001047114,0.0001474953,0.00005282319,0.000498236,0.0001028522,7.876711e-7],"category_scores_gemma":[0.02028851,0.0001689383,0.00002796144,0.0006020815,0.0001140607,0.0005339528,0.00008291402,0.0001940596,8.584961e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008272285,"about_ca_system_score_gemma":0.00006621487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008584629,"about_ca_topic_score_gemma":9.13515e-7,"domain_scores_codex":[0.9983699,0.0001542343,0.0003431094,0.0007111022,0.0001165644,0.0003051255],"domain_scores_gemma":[0.9971772,0.00158693,0.0001263243,0.0007664767,0.0002411293,0.0001018896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006173898,0.0008421857,0.5698472,0.0007871458,0.00001305244,0.000005617818,0.007146311,0.03990547,0.00625396,0.01063513,0.00003696838,0.3644652],"study_design_scores_gemma":[0.0005087358,0.0003708475,0.7124223,0.00006695178,0.00001025174,0.00002711231,0.0001826324,0.185561,0.002130215,0.09806064,0.00003648475,0.0006228291],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04277359,0.00005067754,0.9550318,0.0000143898,0.0001571098,0.000385086,0.000002521306,0.001447366,0.0001374535],"genre_scores_gemma":[0.2736073,0.000001592282,0.7262425,0.00002365504,0.00001978839,0.00008151251,0.00000370259,0.00001292764,0.000007026221],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3638424,"threshold_uncertainty_score":0.987964,"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."}}