{"id":"W1508879959","doi":"10.1109/wpc.2005.38","title":"Theories, methods and tools in program comprehension: past, present and future","year":2005,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":207,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Program comprehension; Comprehension; Computer science; Construct (python library); Context (archaeology); Cognition; Key (lock); Data science; Cognitive science; Software; Software system; Psychology; Programming language","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":[0.038082,0.001671226,0.001360218,0.01203109,0.001982478,0.01626263,0.003278669,0.005498847,0.00540428],"category_scores_gemma":[0.03826826,0.001059762,0.001395486,0.01083003,0.020037,0.04220293,0.003719593,0.006051204,0.001506184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00457129,"about_ca_system_score_gemma":0.007266076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00303694,"about_ca_topic_score_gemma":0.002185124,"domain_scores_codex":[0.9861242,0.009022572,0.0009997555,0.0008615407,0.002539338,0.0004526732],"domain_scores_gemma":[0.9088536,0.07773197,0.003293447,0.004153216,0.004404352,0.001563412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000616336,0.0003535855,0.004156003,0.002803443,0.0000567075,0.0001512098,0.008914736,0.001355425,0.0005061877,0.4383923,0.01186495,0.5313839],"study_design_scores_gemma":[0.00004243508,0.0001616629,0.00270652,0.004780268,0.00004760769,0.000437202,0.01212894,0.004990735,0.001261745,0.7805172,0.1927879,0.0001379294],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01593295,0.5068573,0.2768225,0.1432889,0.002866809,0.0002573508,0.0001220293,0.001199769,0.0526523],"genre_scores_gemma":[0.1366896,0.3946598,0.4373604,0.009435717,0.003742792,0.001153664,0.0002598331,0.0004340965,0.0162641],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.038082,"threshold_uncertainty_score":0.2013992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02900956144356537,"score_gpt":0.3589491300839519,"score_spread":0.3299395686403865,"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."}}