{"id":"W1493960996","doi":"10.1007/978-3-540-73101-6_13","title":"FitClipse: A Fit-Based Eclipse Plug-In for Executable Acceptance Test Driven Development","year":2007,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Software Engineering Techniques and Practices","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Executable; Test (biology); Test-driven development; Eclipse; Acceptance testing; Computer science; Software engineering; Programming language; Software development; Software","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":[0.001551691,0.000600945,0.0005741727,0.001101701,0.0002137538,0.000515567,0.003489442,0.0004187963,0.00002042961],"category_scores_gemma":[0.0004874717,0.0005962861,0.0001231615,0.000835261,0.0002193649,0.0007452567,0.0007164738,0.0008088118,0.00001820591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005678408,"about_ca_system_score_gemma":0.0009577938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001713036,"about_ca_topic_score_gemma":0.0001674326,"domain_scores_codex":[0.9960065,0.0000167005,0.0006974796,0.001549011,0.0007902164,0.0009400676],"domain_scores_gemma":[0.9949791,0.003029272,0.0003416681,0.001255089,0.0002189198,0.0001759688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002209616,0.0001191445,0.0007977517,0.000184434,0.0000116834,0.0001736196,0.0005698822,0.1289709,0.00004802383,0.004341854,0.0002067609,0.8645539],"study_design_scores_gemma":[0.0006586821,0.0003195587,0.0005968387,0.001135984,0.00000850346,0.00004342977,1.414067e-7,0.8899925,0.00460376,0.0230931,0.07810535,0.001442168],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00007426277,0.0003271539,0.9960356,0.0004013309,0.00130698,0.0007832361,0.000007414514,0.0004144183,0.0006496139],"genre_scores_gemma":[0.01766907,0.0000241828,0.980359,0.001049819,0.000470169,0.00007289616,0.000006919362,0.00004867018,0.0002993079],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8631117,"threshold_uncertainty_score":0.9996489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0377258602893186,"score_gpt":0.2914785406156923,"score_spread":0.2537526803263737,"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."}}