{"id":"W2105821857","doi":"10.1145/566171.566183","title":"Investigating the use of analysis contracts to support fault isolation in object oriented code","year":2002,"lang":"en","type":"article","venue":"ACM SIGSOFT Software Engineering Notes","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Isolation (microbiology); Computer science; Precondition; Design by contract; Software engineering; Reuse; Object-oriented programming; Software; Instrumentation (computer programming); Code (set theory); Object (grammar); Code reuse; Fault detection and isolation; Reliability engineering; Risk analysis (engineering); Programming language; Software system; Engineering; Software construction; Set (abstract data type); 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":[0.01309741,0.0005350268,0.0003268384,0.0007841637,0.0007392675,0.001196517,0.001466636,0.001276516,0.0009179802],"category_scores_gemma":[0.05358885,0.0004593318,0.0003305763,0.0009644075,0.00174754,0.004276093,0.001335381,0.001383497,0.0001299788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008073205,"about_ca_system_score_gemma":0.001970907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002189618,"about_ca_topic_score_gemma":0.001764671,"domain_scores_codex":[0.9905226,0.006125565,0.0003435913,0.0003901262,0.00208145,0.0005365955],"domain_scores_gemma":[0.9057632,0.07532334,0.007215084,0.006817343,0.004286177,0.0005948049],"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":[0.001183009,0.00244201,0.08303696,0.001178873,0.0001969671,0.001759242,0.01264296,0.2162601,0.09561166,0.1548234,0.001735374,0.4291294],"study_design_scores_gemma":[0.0002144039,0.002051306,0.01495967,0.0003168128,0.0002170819,0.0009448514,0.00287367,0.8011093,0.1250678,0.03570135,0.01643272,0.0001111624],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4960903,0.0004762333,0.4962725,0.001102336,0.00002655347,0.0003311768,0.00003989056,0.001022002,0.004638906],"genre_scores_gemma":[0.7931478,0.0002985279,0.2053764,0.0001214001,0.0000142007,0.0001297397,0.00004759837,0.0001282609,0.0007361047],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01309741,"threshold_uncertainty_score":0.06926662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05852494155426891,"score_gpt":0.2645884942805956,"score_spread":0.2060635527263267,"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."}}