{"id":"W4384345700","doi":"10.1109/icse48619.2023.00122","title":"GameRTS: A Regression Testing Framework for Video Games","year":2023,"lang":"en","type":"article","venue":"","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Regression testing; Game design; Test suite; Sequential game; Video game; Context (archaeology); Game testing; Game Developer; Regression analysis; Software; Machine learning; Artificial intelligence; Test case; Software development; Game theory; Game design document; Programming language; Software construction; Multimedia","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":[],"consensus_categories":[],"category_scores_codex":[0.0004626921,0.0001227561,0.0001351953,0.0001528076,0.0001680064,0.0001527956,0.000612711,0.00006490266,0.000003980617],"category_scores_gemma":[0.006767335,0.00009363518,0.00005587302,0.001040626,0.00002538326,0.0001843582,0.0002664303,0.0001071925,0.00005680564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001741554,"about_ca_system_score_gemma":0.00004287164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002920154,"about_ca_topic_score_gemma":4.976066e-7,"domain_scores_codex":[0.9989169,0.00002465292,0.0001715302,0.0003798268,0.0001799277,0.0003271924],"domain_scores_gemma":[0.9956287,0.003532298,0.00007775633,0.0005784472,0.0001128765,0.00006995984],"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":[0.000004688643,0.0000303649,0.007142163,0.00005468807,0.000008580724,0.00002430447,0.0004023219,0.00002933001,0.0002626402,0.0723305,0.3989027,0.5208077],"study_design_scores_gemma":[0.00008283251,0.0001073093,0.001350122,0.0004071228,0.000002671149,0.00001653705,0.000007752218,0.1707535,0.001420845,0.8207572,0.004893513,0.0002006503],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00143328,0.00004228463,0.950128,0.001130004,0.0002398983,0.0001666803,8.236031e-7,0.04593294,0.0009260896],"genre_scores_gemma":[0.06405591,0.000002506103,0.9344451,0.0009238091,0.00009285344,0.0001069335,0.000001320536,0.00001545845,0.0003560829],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7484267,"threshold_uncertainty_score":0.8101621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07865055184339448,"score_gpt":0.3418979753851524,"score_spread":0.2632474235417579,"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."}}