{"id":"W3196126762","doi":"10.1109/tse.2021.3106247","title":"Dependency Smells in JavaScript Projects","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Software Engineering","topic":"Software Engineering Research","field":"Computer Science","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Code smell; Computer science; Dependency (UML); Commit; JavaScript; Code refactoring; Dependency graph; Software engineering; Security bug; World Wide Web; Popularity; Computer security; Data science; Software; Software development; Software quality; Software security assurance; Database; Programming language; Information security","routes":{"ca_aff":true,"ca_fund":true,"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":[0.007482029,0.0002962609,0.0003484175,0.007023984,0.0009742791,0.001586357,0.0006663695,0.0008534319,0.0007717127],"category_scores_gemma":[0.08137418,0.0004492859,0.0004488257,0.007600724,0.0009128446,0.003478227,0.003124486,0.001293204,0.0003135498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009483249,"about_ca_system_score_gemma":0.0008565693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004673338,"about_ca_topic_score_gemma":0.009186126,"domain_scores_codex":[0.9888214,0.003048834,0.002074662,0.001677377,0.003767794,0.0006099677],"domain_scores_gemma":[0.7712713,0.1091234,0.09120293,0.009238984,0.01514002,0.004023299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009694454,0.00006377957,0.9584911,0.0002665282,0.00004612022,0.0004834084,0.009732634,0.0003751195,0.001259592,0.0002271187,0.001694488,0.02726311],"study_design_scores_gemma":[0.000006017791,0.0001035812,0.984209,0.0001699406,0.00002315893,0.00107257,0.007436248,0.001714033,0.0007465943,0.000428179,0.004045311,0.00004530874],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960983,0.000516513,0.001486886,0.0002579447,0.000008509169,0.00002781513,0.0007809204,0.00010688,0.0007162326],"genre_scores_gemma":[0.9944428,0.0003908564,0.002325111,0.00008296178,0.00002014142,0.00007472847,0.002104392,0.00006604085,0.0004930631],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007482029,"threshold_uncertainty_score":0.0395692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01866299744530346,"score_gpt":0.2381131029342694,"score_spread":0.2194501054889659,"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."}}