{"id":"W1988040396","doi":"10.1109/icst.2012.120","title":"Automated Unit Testing of a SCADA Control Software: An Industrial Case Study Based on Action Research","year":2012,"lang":"en","type":"article","venue":"","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"SCADA; Test suite; Unit testing; Regression testing; White-box testing; Computer science; Keyword-driven testing; Test Management Approach; Reliability engineering; Test (biology); Suite; Manual testing; Software engineering; Rocket (weapon); Software; Black box; Engineering; Test case; Software development; Software construction; Operating system; Regression analysis; Artificial intelligence; Machine learning; Aeronautics","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":[0.004577037,0.0008580875,0.0004845455,0.001381175,0.001605952,0.001203835,0.002013202,0.002244581,0.00177383],"category_scores_gemma":[0.01370488,0.0003697489,0.0005479758,0.0008542382,0.002168193,0.001167668,0.001245225,0.0009946437,0.0003783944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001290699,"about_ca_system_score_gemma":0.001080941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004419073,"about_ca_topic_score_gemma":0.006108736,"domain_scores_codex":[0.9930976,0.004492406,0.000256732,0.0005349752,0.001214957,0.0004032999],"domain_scores_gemma":[0.9730439,0.02089749,0.001344074,0.002065826,0.001734111,0.0009146833],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002597264,0.01765485,0.1397395,0.002352611,0.0003904889,0.07343093,0.0818179,0.1372043,0.06920857,0.03947002,0.008173021,0.4279608],"study_design_scores_gemma":[0.002188665,0.02304462,0.08295395,0.001123715,0.0006029823,0.04388748,0.0529325,0.527186,0.1572135,0.01756889,0.09073964,0.0005580321],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9278869,0.0002247405,0.06342056,0.0005031312,0.00001849081,0.0005243708,0.0001203423,0.0004778479,0.00682354],"genre_scores_gemma":[0.9474904,0.0001397821,0.05008533,0.00008725734,0.0000112157,0.0001973459,0.0001077502,0.00005874438,0.001822227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004577037,"threshold_uncertainty_score":0.02420598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3842958960814827,"score_gpt":0.4381098421641235,"score_spread":0.05381394608264084,"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."}}