{"id":"W2050254119","doi":"10.1109/icstw.2013.49","title":"On Adequacy of Assertions in Automated Test Suites: An Empirical Investigation","year":2013,"lang":"en","type":"article","venue":"","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Türkiye Bilimsel ve Teknolojik Araştırma Kurumu","keywords":"Computer science; Oracle; Assertion; Test script; Test (biology); Context (archaeology); Programming language; Unit testing; Test case; Test suite; Source code; Code coverage; Class (philosophy); Empirical research; Keyword-driven testing; Test Management Approach; Test data; Artificial intelligence; Software; Machine learning; Statistics; Mathematics; Software development","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":[0.03640117,0.0006445533,0.0006902132,0.005352565,0.0008448428,0.00159468,0.001780538,0.001397018,0.0009601053],"category_scores_gemma":[0.3522152,0.0004186438,0.0008558799,0.004096766,0.003213158,0.003114056,0.002020739,0.00143726,0.0001871088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00121192,"about_ca_system_score_gemma":0.0009276947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002391172,"about_ca_topic_score_gemma":0.002507115,"domain_scores_codex":[0.9303672,0.0328017,0.007952859,0.006188332,0.0210398,0.001650171],"domain_scores_gemma":[0.2186263,0.690311,0.04859284,0.01821522,0.02240186,0.001852818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005579002,0.0006867353,0.9387761,0.0004158614,0.0002446549,0.0007711346,0.005723447,0.008517653,0.002538258,0.001454832,0.0004132836,0.03990021],"study_design_scores_gemma":[0.0000901742,0.003124799,0.877016,0.0002872738,0.00038118,0.003961325,0.007847764,0.09222099,0.009314078,0.002774745,0.002882659,0.00009910803],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942728,0.0002178617,0.004611234,0.00007238711,0.000004367571,0.00007251064,0.0001536662,0.00004311296,0.0005520979],"genre_scores_gemma":[0.9976417,0.00005991083,0.001860679,0.00001297437,0.000007853849,0.00003744753,0.0002932819,0.00001773821,0.00006853748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03640117,"threshold_uncertainty_score":0.1925101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04025660822390811,"score_gpt":0.3265405027542841,"score_spread":0.2862838945303759,"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."}}