{"id":"W2340269900","doi":"10.5539/cis.v9n2p68","title":"Ten Heuristics from Applying Agile Practices across Different Distribution Scenarios: A Multiple-Case Study","year":2016,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Software Engineering Techniques and Practices","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Heuristics; Agile software development; Computer science; Distribution (mathematics); Process (computing); Empirical research; Field (mathematics); Transparency (behavior); Process management; Software engineering; Business; Statistics; Computer security; Programming language; Operating system; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02576723,0.0007675854,0.0006216393,0.002996099,0.003087041,0.005354446,0.00316771,0.002282674,0.001389858],"category_scores_gemma":[0.07260349,0.0008645057,0.001145775,0.004136896,0.003054888,0.004338965,0.003571923,0.002744385,0.0002147628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008098022,"about_ca_system_score_gemma":0.005581436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005035435,"about_ca_topic_score_gemma":0.01216243,"domain_scores_codex":[0.9663329,0.02369829,0.002277894,0.001617973,0.004291094,0.001781955],"domain_scores_gemma":[0.8511312,0.122967,0.009123804,0.005138984,0.008790568,0.002848424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.001835177,0.01025788,0.2530227,0.004906583,0.0006271044,0.01392677,0.3372501,0.04198834,0.007588684,0.02635049,0.003161044,0.2990851],"study_design_scores_gemma":[0.0006968637,0.00785643,0.1603109,0.002853405,0.0006442453,0.004318851,0.6793157,0.06113756,0.0180645,0.0233772,0.04087488,0.000549474],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9804748,0.0001997762,0.01262746,0.0003929461,0.00001086025,0.001635186,0.0001460368,0.00002436603,0.004488437],"genre_scores_gemma":[0.961727,0.0002964625,0.03597633,0.0001219007,0.000004536708,0.00108889,0.0001839405,0.00001974494,0.0005811214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02576723,"threshold_uncertainty_score":0.1362718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02923694905522115,"score_gpt":0.3058508816071221,"score_spread":0.276613932551901,"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."}}