{"id":"W2149695823","doi":"10.1007/s10664-006-9026-0","title":"Empirical evaluation of optimization algorithms when used in goal-oriented automated test data generation techniques","year":2006,"lang":"en","type":"article","venue":"Empirical Software Engineering","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":59,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Test Management Approach; Computer science; Keyword-driven testing; Test data; Software development; Test harness; Software; Software reliability testing; Automation; Test strategy; Non-regression testing; Data mining; Software construction; Software engineering; Engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00160099,0.0002424395,0.0002972333,0.0003764406,0.00006023086,0.00009050455,0.0007741569,0.0001923602,0.000008212254],"category_scores_gemma":[0.004106378,0.0002474836,0.00004480406,0.001064478,0.00002890124,0.0006699534,0.0003616143,0.0002089286,0.000002409698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000251544,"about_ca_system_score_gemma":0.0001476353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001862834,"about_ca_topic_score_gemma":0.0000127145,"domain_scores_codex":[0.9974723,0.000126941,0.0006353694,0.0006465216,0.0007920311,0.0003268057],"domain_scores_gemma":[0.9977652,0.0006679233,0.000159204,0.001008473,0.0003302654,0.00006896129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003725941,0.0004993218,0.402185,0.00005621374,0.00001659964,0.00001599332,0.0003553779,0.549433,0.000918107,0.0000352838,0.03208046,0.01440088],"study_design_scores_gemma":[0.0002815044,0.00006412833,0.0258961,0.00008579692,0.00001579168,0.00001014179,7.704642e-7,0.9701577,0.002672955,0.0003354662,0.0002214801,0.0002580927],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02373712,0.0001135287,0.9594879,0.000204669,0.0001512056,0.0003798705,0.00001280957,0.01589891,0.00001400344],"genre_scores_gemma":[0.2889346,0.000001866552,0.7105736,0.00004347911,0.0001174625,0.00005884009,0.0002397629,0.00002578376,0.000004608371],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4207247,"threshold_uncertainty_score":0.9999977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06930117347575526,"score_gpt":0.3370234376690021,"score_spread":0.2677222641932469,"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."}}