{"id":"W2150781738","doi":"10.1109/sera.2005.43","title":"Generating aspects-classes integration testing sequences a collaboration diagram based strategy","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"AspectJ; Computer science; Aspect-oriented programming; Programming language; Software engineering; Java; Object-oriented programming; Class (philosophy); Process (computing); Separation of concerns; Class diagram; Software development; Software; Unified Modeling Language; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002041579,0.0009375231,0.0006354964,0.001625126,0.0004943678,0.001064633,0.001156652,0.001127069,0.003665312],"category_scores_gemma":[0.0095519,0.0004087466,0.0008143659,0.000701751,0.0005948775,0.001183843,0.0009065619,0.0006670862,0.001148692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000459193,"about_ca_system_score_gemma":0.00128494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009222724,"about_ca_topic_score_gemma":0.0009551307,"domain_scores_codex":[0.9966857,0.001406675,0.0002435994,0.0004375768,0.001059999,0.0001665836],"domain_scores_gemma":[0.9922286,0.004454225,0.0005191275,0.001070033,0.001417924,0.0003100579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008111428,0.0009370535,0.009222123,0.0005729707,0.0001246231,0.001640202,0.001286704,0.06625334,0.1069712,0.07217733,0.004604244,0.7353991],"study_design_scores_gemma":[0.0005473337,0.001874682,0.004098836,0.0002279074,0.0002661584,0.002630515,0.0004222163,0.7281104,0.1761916,0.04178494,0.04372941,0.0001159697],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03670977,0.0000482506,0.9552,0.000105512,0.00002551701,0.0006099031,0.0001064988,0.002619721,0.004574876],"genre_scores_gemma":[0.2444928,0.00008161598,0.7512102,0.00006094761,0.00001456684,0.0006398096,0.0005522498,0.0002903547,0.002657451],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003665312,"threshold_uncertainty_score":0.01226163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07359614098060667,"score_gpt":0.3269793618420287,"score_spread":0.253383220861422,"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."}}