{"id":"W4247417056","doi":"10.1145/2070337.2070357","title":"Enhancing spark's contract checking facilities using symbolic execution","year":2011,"lang":"en","type":"article","venue":"","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Symbolic execution; SPARK (programming language); Software engineering; Programming language; Usability; Automation; Model checking; Design by contract; Software; Formal methods; Software development; Software construction; Operating system; Engineering","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":[0.006079363,0.00110857,0.0009524526,0.001910634,0.0008660553,0.001985219,0.002821198,0.0010211,0.00439523],"category_scores_gemma":[0.02101144,0.001009722,0.001485724,0.001132375,0.002812159,0.003766147,0.003160264,0.002455817,0.001441116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001122817,"about_ca_system_score_gemma":0.004182087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005567498,"about_ca_topic_score_gemma":0.005538596,"domain_scores_codex":[0.9929209,0.001794721,0.0004959091,0.0008066359,0.003465971,0.0005158046],"domain_scores_gemma":[0.9769852,0.01300091,0.001368362,0.00529558,0.002957297,0.0003926664],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001655303,0.0006141738,0.01218919,0.001079554,0.0002931161,0.001451765,0.002105852,0.1626913,0.07781514,0.1874413,0.02437965,0.5282838],"study_design_scores_gemma":[0.0004195955,0.0003035957,0.001108302,0.0001390884,0.0001143441,0.000854091,0.000156203,0.8128307,0.08758002,0.05303467,0.04329847,0.0001608688],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02189679,0.0001217402,0.9383377,0.0002598336,0.00007073858,0.0001080361,0.0001648355,0.03461407,0.004426179],"genre_scores_gemma":[0.2727483,0.0002326321,0.7174639,0.0001937263,0.0000563508,0.0001434797,0.0006698678,0.004741022,0.003750729],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006079363,"threshold_uncertainty_score":0.0321511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08202945841302203,"score_gpt":0.2700185338479789,"score_spread":0.1879890754349568,"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."}}