{"id":"https://openalex.org/W6967494121","doi":"https://doi.org/10.5281/zenodo.10637336","title":"How do Machine Learning Projects use Continuous Integration Practices? An Empirical Study on GitHub Actions","display_name":"How do Machine Learning Projects use Continuous Integration Practices? An Empirical Study on GitHub Actions","publication_year":2024,"publication_date":"2024-02-08","ids":{"openalex":"https://openalex.org/W6967494121","doi":"https://doi.org/10.5281/zenodo.10637336"},"language":"en","primary_location":{"id":"doi:10.5281/zenodo.10637336","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.10637336","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"dataset"},"type":"dataset","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5281/zenodo.10637336","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Bernardo, Jo\u00e3o Helis","orcid":"https://orcid.org/0000-0001-7359-4039"},"institutions":[{"id":"https://openalex.org/I3020002803","display_name":"Instituto Federal do Rio Grande do Norte","ror":"https://ror.org/04je48v27","country_code":"BR","type":"education","lineage":["https://openalex.org/I3020002803"]},{"id":"https://openalex.org/I35046152","display_name":"Universidade Federal do Rio Grande do Norte","ror":"https://ror.org/04wn09761","country_code":"BR","type":"education","lineage":["https://openalex.org/I35046152"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Bernardo, Jo\u00e3o Helis","raw_affiliation_strings":["Federal University of Rio Grande do Norte","Instituto Federal do Rio Grande do Norte"],"affiliations":[{"raw_affiliation_string":"Federal University of Rio Grande do Norte","institution_ids":["https://openalex.org/I35046152"]},{"raw_affiliation_string":"Instituto Federal do Rio Grande do Norte","institution_ids":["https://openalex.org/I3020002803"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Alencar da Costa, Daniel","orcid":"https://orcid.org/0000-0003-4525-3266"},"institutions":[{"id":"https://openalex.org/I80281795","display_name":"University of Otago","ror":"https://ror.org/01jmxt844","country_code":"NZ","type":"education","lineage":["https://openalex.org/I80281795"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Alencar da Costa, Daniel","raw_affiliation_strings":["University of Otago"],"affiliations":[{"raw_affiliation_string":"University of Otago","institution_ids":["https://openalex.org/I80281795"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Queiroz de Medeiros, S\u00e9rgio","orcid":"https://orcid.org/0000-0002-0759-0926"},"institutions":[{"id":"https://openalex.org/I35046152","display_name":"Universidade Federal do Rio Grande do Norte","ror":"https://ror.org/04wn09761","country_code":"BR","type":"education","lineage":["https://openalex.org/I35046152"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Queiroz de Medeiros, S\u00e9rgio","raw_affiliation_strings":["Federal University of Rio Grande do Norte"],"affiliations":[{"raw_affiliation_string":"Federal University of Rio Grande do Norte","institution_ids":["https://openalex.org/I35046152"]}]},{"author_position":"last","author":{"id":null,"display_name":"Kulesza, Uira","orcid":"https://orcid.org/0000-0002-5467-6458"},"institutions":[{"id":"https://openalex.org/I35046152","display_name":"Universidade Federal do Rio Grande do Norte","ror":"https://ror.org/04wn09761","country_code":"BR","type":"education","lineage":["https://openalex.org/I35046152"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Kulesza, Uira","raw_affiliation_strings":["Federal University of Rio Grande do Norte"],"affiliations":[{"raw_affiliation_string":"Federal University of Rio Grande do Norte","institution_ids":["https://openalex.org/I35046152"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I3020002803","https://openalex.org/I35046152"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":null,"topics":[],"keywords":[{"id":"https://openalex.org/keywords/scripting-language","display_name":"Scripting language","score":0.8180000185966492},{"id":"https://openalex.org/keywords/empirical-research","display_name":"Empirical research","score":0.6509000062942505},{"id":"https://openalex.org/keywords/replicate","display_name":"Replicate","score":0.5360000133514404},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.5015000104904175},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.4081999957561493},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4011000096797943},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.3693000078201294},{"id":"https://openalex.org/keywords/r-package","display_name":"R package","score":0.33719998598098755},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.33410000801086426}],"concepts":[{"id":"https://openalex.org/C61423126","wikidata":"https://www.wikidata.org/wiki/Q187432","display_name":"Scripting language","level":2,"score":0.8180000185966492},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.809499979019165},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.6509000062942505},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5465999841690063},{"id":"https://openalex.org/C2781162219","wikidata":"https://www.wikidata.org/wiki/Q26250693","display_name":"Replicate","level":2,"score":0.5360000133514404},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.5015000104904175},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.4745999872684479},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4325000047683716},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.4081999957561493},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4011000096797943},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3986000120639801},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3804999887943268},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.3693000078201294},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3513999879360199},{"id":"https://openalex.org/C2984074130","wikidata":"https://www.wikidata.org/wiki/Q73539779","display_name":"R package","level":2,"score":0.33719998598098755},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.33410000801086426},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.3292999863624573},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3206000030040741},{"id":"https://openalex.org/C137287247","wikidata":"https://www.wikidata.org/wiki/Q1329550","display_name":"Static program analysis","level":4,"score":0.3043000102043152},{"id":"https://openalex.org/C12590798","wikidata":"https://www.wikidata.org/wiki/Q3933199","display_name":"Replication (statistics)","level":2,"score":0.29330000281333923},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.29170000553131104},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.27900001406669617},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.2759999930858612},{"id":"https://openalex.org/C199519371","wikidata":"https://www.wikidata.org/wiki/Q942695","display_name":"Source lines of code","level":3,"score":0.271699994802475},{"id":"https://openalex.org/C150292731","wikidata":"https://www.wikidata.org/wiki/Q1342704","display_name":"Code review","level":5,"score":0.2644999921321869},{"id":"https://openalex.org/C128942645","wikidata":"https://www.wikidata.org/wiki/Q1568346","display_name":"Test case","level":3,"score":0.2623000144958496},{"id":"https://openalex.org/C152752567","wikidata":"https://www.wikidata.org/wiki/Q116877","display_name":"Code refactoring","level":3,"score":0.2615000009536743},{"id":"https://openalex.org/C529173508","wikidata":"https://www.wikidata.org/wiki/Q638608","display_name":"Software development","level":3,"score":0.2558000087738037},{"id":"https://openalex.org/C117447612","wikidata":"https://www.wikidata.org/wiki/Q1412670","display_name":"Software quality","level":4,"score":0.2540000081062317},{"id":"https://openalex.org/C548217200","wikidata":"https://www.wikidata.org/wiki/Q251","display_name":"Java","level":2,"score":0.2524999976158142},{"id":"https://openalex.org/C51929080","wikidata":"https://www.wikidata.org/wiki/Q2425187","display_name":"Codebase","level":3,"score":0.2515000104904175}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5281/zenodo.10637336","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.10637336","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"dataset"}],"best_oa_location":{"id":"doi:10.5281/zenodo.10637336","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.10637336","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"dataset"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.5974007248878479,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Reproduction":[0],"Package":[1],"for":[2,142,165],"the":[3,24,29,33,37,53,56,61,70,73,77,87,90,122,128,133,139,149,155,158,166,172],"Paper":[4],"\"How":[5],"do":[6],"Machine":[7],"Learning":[8],"Projects":[9],"use":[10],"Continuous":[11],"Integration":[12],"Practices?":[13],"An":[14],"Empirical":[15],"Study":[16],"on":[17,145],"GitHub":[18,174],"Actions\"":[19],"This":[20],"reproduction":[21],"package":[22],"contains":[23],"necessary":[25],"materials":[26],"to":[27,68,97,105,120,126,138,147,162],"replicate":[28],"findings":[30],"presented":[31,153],"in":[32,43,52,86,154,171],"paper":[34],"published":[35],"at":[36],"Mining":[38],"Software":[39],"Repositories":[40],"(MSR)":[41],"conference":[42],"2024.":[44],"Folder":[45],"Structure:-":[46],"datasets:":[47],"Contains":[48,65,81,114],"all":[49,82],"datasets":[50],"used":[51,85,96,125,161],"analysis":[54,88,150],"of":[55,60,72,76,89,130],"Research":[57],"Questions":[58],"(RQs)":[59],"paper.":[62,156],"-":[63,79,112],"plots:":[64],"plots":[66],"generated":[67],"present":[69,127],"results":[71,129,152],"investigated":[74],"RQs":[75],"study.":[78],"r-script:":[80],"R":[83],"scripts":[84,95],"RQs,":[91],"as":[92,94,101],"well":[93],"compute":[98],"metrics":[99],"such":[100],"build":[102],"duration,":[103],"time":[104],"fix":[106],"broken":[107],"builds,":[108],"and":[109,151],"test":[110],"coverage.":[111],"RQ3-neovis-network-graph:":[113],"a":[115],"README.txt":[116],"file":[117],"providing":[118],"instructions":[119],"create":[121],"network":[123],"graph":[124],"RQ3":[131],"using":[132],"neovisjs":[134],"library.":[135],"Please":[136],"refer":[137],"specific":[140],"folders":[141],"detailed":[143],"information":[144],"how":[146],"reproduce":[148],"Furthermore,":[157],"code":[159],"we":[160],"retrieve":[163],"data":[164],"studied":[167],"projects":[168],"is":[169],"available":[170],"following":[173],"repository:":[175],"https://github.com/joaohelis/ml-ci-project-miner":[176]},"counts_by_year":[],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2025-10-10T00:00:00"}
