{"id":"W2295514702","doi":"10.1109/empire.2015.7431307","title":"How do open source software (OSS) developers practice and perceive requirements engineering? An empirical study","year":2015,"lang":"en","type":"article","venue":"","topic":"Open Source Software Innovations","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Requirements elicitation; Requirements analysis; Requirements engineering; Web application; Software development; Empirical research; Knowledge management; Open source software; Computer science; Software; World Wide Web; Software engineering","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001383078,0.0002391825,0.000240244,0.0001529547,0.0002131176,0.003284493,0.001985525,0.00007506036,0.0000111581],"category_scores_gemma":[0.002242445,0.0002141011,0.00001798585,0.0009417385,0.00004358716,0.006016263,0.002095573,0.0002319244,0.00004421976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000142275,"about_ca_system_score_gemma":0.0003040457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000167736,"about_ca_topic_score_gemma":0.00003160222,"domain_scores_codex":[0.997812,0.0001718215,0.0002760787,0.0007497083,0.0006269189,0.0003634794],"domain_scores_gemma":[0.9977046,0.0002201306,0.0001126722,0.00089993,0.0007073154,0.0003553729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001289425,0.004022845,0.6047882,0.00003696443,0.0005945584,0.0003380773,0.2078136,0.001513829,0.000116941,0.007808084,0.03921954,0.1336184],"study_design_scores_gemma":[0.009000909,0.004446252,0.1913772,0.00009658106,0.0001613971,0.0007003497,0.1180115,0.02866274,0.0001503918,0.0009825132,0.6428375,0.00357272],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2143099,0.00001986996,0.7773784,0.005277744,0.0002222203,0.001044427,0.000001858399,0.0005577933,0.001187741],"genre_scores_gemma":[0.5009552,6.527011e-7,0.495984,0.001462258,0.00004597819,0.0000593405,0.000003540649,0.00002796363,0.001461033],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6036179,"threshold_uncertainty_score":0.9977502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07712038978808003,"score_gpt":0.3567982843534795,"score_spread":0.2796778945653995,"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."}}