{"id":"https://openalex.org/W3045719304","doi":"https://doi.org/10.1145/3382494.3410681","title":"Adoption and Effects of Software Engineering Best Practices in Machine Learning","display_name":"Adoption and Effects of Software Engineering Best Practices in Machine Learning","publication_year":2020,"publication_date":"2020-10-05","ids":{"openalex":"https://openalex.org/W3045719304","doi":"https://doi.org/10.1145/3382494.3410681","mag":"3045719304"},"language":"en","primary_location":{"id":"doi:10.1145/3382494.3410681","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3382494.3410681","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th ACM / IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2007.14130","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Alex Serban","orcid":null},"institutions":[{"id":"https://openalex.org/I145872427","display_name":"Radboud University Nijmegen","ror":"https://ror.org/016xsfp80","country_code":"NL","type":"education","lineage":["https://openalex.org/I145872427"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Alex Serban","raw_affiliation_strings":["ICIS, Radboud University, Software Improvement Group, Amsterdam, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ICIS, Radboud University, Software Improvement Group, Amsterdam, Netherlands","institution_ids":["https://openalex.org/I145872427"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Koen van der Blom","orcid":null},"institutions":[{"id":"https://openalex.org/I121797337","display_name":"Leiden University","ror":"https://ror.org/027bh9e22","country_code":"NL","type":"education","lineage":["https://openalex.org/I121797337"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Koen van der Blom","raw_affiliation_strings":["LIACS, Leiden University, Leiden, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LIACS, Leiden University, Leiden, Netherlands","institution_ids":["https://openalex.org/I121797337"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Holger Hoos","orcid":null},"institutions":[{"id":"https://openalex.org/I121797337","display_name":"Leiden University","ror":"https://ror.org/027bh9e22","country_code":"NL","type":"education","lineage":["https://openalex.org/I121797337"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Holger Hoos","raw_affiliation_strings":["LIACS, Leiden University, Leiden, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LIACS, Leiden University, Leiden, Netherlands","institution_ids":["https://openalex.org/I121797337"]}]},{"author_position":"last","author":{"id":null,"display_name":"Joost Visser","orcid":null},"institutions":[{"id":"https://openalex.org/I121797337","display_name":"Leiden University","ror":"https://ror.org/027bh9e22","country_code":"NL","type":"education","lineage":["https://openalex.org/I121797337"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Joost Visser","raw_affiliation_strings":["LIACS, Leiden University, Leiden, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LIACS, Leiden University, Leiden, Netherlands","institution_ids":["https://openalex.org/I121797337"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I145872427"],"apc_list":null,"apc_paid":null,"fwci":7.6156,"has_fulltext":false,"cited_by_count":91,"citation_normalized_percentile":{"value":0.97835837,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/best-practice","display_name":"Best practice","score":0.46470001339912415},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.39399999380111694},{"id":"https://openalex.org/keywords/feature-engineering","display_name":"Feature engineering","score":0.38179999589920044},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.3325999975204468},{"id":"https://openalex.org/keywords/software-development","display_name":"Software development","score":0.3021000027656555}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5358999967575073},{"id":"https://openalex.org/C184356942","wikidata":"https://www.wikidata.org/wiki/Q830382","display_name":"Best practice","level":2,"score":0.46470001339912415},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45080000162124634},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.4090000092983246},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39640000462532043},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.39399999380111694},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.38179999589920044},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3366999924182892},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.3325999975204468},{"id":"https://openalex.org/C529173508","wikidata":"https://www.wikidata.org/wiki/Q638608","display_name":"Software development","level":3,"score":0.3021000027656555},{"id":"https://openalex.org/C5041995","wikidata":"https://www.wikidata.org/wiki/Q853745","display_name":"Engineering education","level":2,"score":0.2897000014781952},{"id":"https://openalex.org/C110354214","wikidata":"https://www.wikidata.org/wiki/Q6314146","display_name":"Engineering management","level":1,"score":0.2750999927520752},{"id":"https://openalex.org/C77967617","wikidata":"https://www.wikidata.org/wiki/Q4677561","display_name":"Active learning (machine learning)","level":2,"score":0.27230000495910645}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1145/3382494.3410681","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3382494.3410681","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th ACM / IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2007.14130","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2007.14130","pdf_url":"https://arxiv.org/pdf/2007.14130","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:repository.ubn.ru.nl:2066/230086","is_oa":false,"landing_page_url":"https://hdl.handle.net/2066/230086","pdf_url":null,"source":{"id":"https://openalex.org/S4306401067","display_name":"Radboud Repository (Radboud University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I145872427","host_organization_name":"Radboud University Nijmegen","host_organization_lineage":["https://openalex.org/I145872427"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Baldassarre, M.T.; Lanubile, F.; Kalinowski, M. (ed.), ESEM '20: Proceedings of the ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, Bari, Italy, October 5-7, 2020, pp. 3:1-3:12","raw_type":"Article in monograph or in proceedings"},{"id":"pmh:oai:scholarlypublications.universiteitleiden.nl:item_3307600","is_oa":false,"landing_page_url":"https://hdl.handle.net/1887/3307600","pdf_url":null,"source":{"id":"https://openalex.org/S4306400850","display_name":"Leiden Repository (Leiden University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I121797337","host_organization_name":"Leiden University","host_organization_lineage":["https://openalex.org/I121797337"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the 14th ACM / IEEE international symposium on empirical software engineering and measurement (ESEM)","raw_type":"Article in monograph or in proceedings"},{"id":"pmh:ru:oai:repository.ubn.ru.nl:2066/230086","is_oa":false,"landing_page_url":"http://hdl.handle.net/2066/230086","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Baldassarre, M.T.; Lanubile, F.; Kalinowski, M. (ed.), ESEM '20: Proceedings of the ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, Bari, Italy, October 5-7, 2020, 3:1 - 3:12. New York : ACM","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:ul:oai:scholarlypublications.universiteitleiden.nl:item_3307600","is_oa":true,"landing_page_url":"http://hdl.handle.net/1887/3307600","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the 14th ACM / IEEE international symposium on empirical software engineering and measurement (ESEM), 1 - 12. New York, NY: ACM","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2007.14130","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2007.14130","pdf_url":"https://arxiv.org/pdf/2007.14130","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W70001371","https://openalex.org/W1546520647","https://openalex.org/W2023844160","https://openalex.org/W2148143831","https://openalex.org/W2463109813","https://openalex.org/W2611130659","https://openalex.org/W2735864825","https://openalex.org/W2743948853","https://openalex.org/W2782864149","https://openalex.org/W2894409651","https://openalex.org/W2896671475","https://openalex.org/W2944264045","https://openalex.org/W2964759459","https://openalex.org/W2968772574","https://openalex.org/W2998064020","https://openalex.org/W3045719304","https://openalex.org/W4213308398"],"related_works":[],"abstract_inverted_index":{"Background.":[0],"The":[1],"increasing":[2],"reliance":[3],"on":[4],"applications":[5],"with":[6],"machine":[7],"learning":[8],"(ML)":[9],"components":[10],"calls":[11],"for":[12],"mature":[13],"engineering":[14],"techniques":[15],"that":[16],"ensure":[17],"these":[18],"are":[19],"built":[20],"in":[21],"a":[22],"robust":[23],"and":[24],"future-proof":[25],"manner.":[26]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":21},{"year":2022,"cited_by_count":25},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":1}],"updated_date":"2026-05-13T08:25:38.343686","created_date":"2020-08-03T00:00:00"}