{"id":"W2136271630","doi":"10.1145/1925844.1926389","title":"Points-to analysis with efficient strong updates","year":2011,"lang":"en","type":"article","venue":"ACM SIGPLAN Notices","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Singleton; Flow (mathematics); Set (abstract data type); Program analysis; Compiler; Sensitivity (control systems); Abstract interpretation; Optimizing compiler; Key (lock); Static analysis; Quadratic equation; Theoretical computer science; Algorithm; Programming language; Mathematics; Operating system","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":[0.003268077,0.001564649,0.001390253,0.002283898,0.001178739,0.003429729,0.003512218,0.001198064,0.004286349],"category_scores_gemma":[0.01581055,0.001370778,0.002257829,0.001695876,0.002468215,0.006791758,0.004567748,0.003627684,0.001309369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001311868,"about_ca_system_score_gemma":0.001985533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002177903,"about_ca_topic_score_gemma":0.002123199,"domain_scores_codex":[0.9940385,0.001146818,0.0003647561,0.0007859827,0.002991027,0.0006729275],"domain_scores_gemma":[0.9890771,0.004285363,0.0006110376,0.004379127,0.001499807,0.0001476263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001053364,0.0002119189,0.0039187,0.0003965093,0.000195361,0.00045469,0.0008065783,0.2346834,0.02952028,0.4469466,0.006724888,0.2750877],"study_design_scores_gemma":[0.00006710375,0.0001441769,0.00036985,0.00006133357,0.0001376055,0.0001344125,0.000086384,0.6126601,0.0444533,0.3321039,0.009719243,0.00006266077],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01798422,0.00008439709,0.9734561,0.0002051314,0.00005076327,0.0001120814,0.0001149173,0.004809021,0.003183349],"genre_scores_gemma":[0.4404007,0.0002392881,0.5483782,0.0005828112,0.0001801804,0.0004092069,0.0004558059,0.003019627,0.006334098],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004286349,"threshold_uncertainty_score":0.01728344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02764097134449946,"score_gpt":0.2537133634451165,"score_spread":0.2260723921006171,"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."}}