{"id":"https://openalex.org/W4221166512","doi":"https://doi.org/10.1145/3524610.3527871","title":"Two approaches to survival analysis of open source Python projects","display_name":"Two approaches to survival analysis of open source Python projects","publication_year":2022,"publication_date":"2022-05-16","ids":{"openalex":"https://openalex.org/W4221166512","doi":"https://doi.org/10.1145/3524610.3527871"},"language":"en","primary_location":{"id":"doi:10.1145/3524610.3527871","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3524610.3527871","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2203.08320","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052349416","display_name":"Derek J. S. Robinson","orcid":"https://orcid.org/0000-0001-6676-3818"},"institutions":[{"id":"https://openalex.org/I212119943","display_name":"University of Victoria","ror":"https://ror.org/04s5mat29","country_code":"CA","type":"education","lineage":["https://openalex.org/I212119943"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Derek Robinson","raw_affiliation_strings":["University of Victoria, Victoria, Canada"],"affiliations":[{"raw_affiliation_string":"University of Victoria, Victoria, Canada","institution_ids":["https://openalex.org/I212119943"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031301452","display_name":"Keanelek Enns","orcid":"https://orcid.org/0000-0002-9572-6589"},"institutions":[{"id":"https://openalex.org/I212119943","display_name":"University of Victoria","ror":"https://ror.org/04s5mat29","country_code":"CA","type":"education","lineage":["https://openalex.org/I212119943"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Keanelek Enns","raw_affiliation_strings":["University of Victoria, Victoria, Canada"],"affiliations":[{"raw_affiliation_string":"University of Victoria, Victoria, Canada","institution_ids":["https://openalex.org/I212119943"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059788725","display_name":"Neha Koulecar","orcid":null},"institutions":[{"id":"https://openalex.org/I212119943","display_name":"University of Victoria","ror":"https://ror.org/04s5mat29","country_code":"CA","type":"education","lineage":["https://openalex.org/I212119943"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Neha Koulecar","raw_affiliation_strings":["University of Victoria, Victoria, Canada"],"affiliations":[{"raw_affiliation_string":"University of Victoria, Victoria, Canada","institution_ids":["https://openalex.org/I212119943"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069325391","display_name":"Manish Sihag","orcid":"https://orcid.org/0000-0002-7279-5709"},"institutions":[{"id":"https://openalex.org/I212119943","display_name":"University of Victoria","ror":"https://ror.org/04s5mat29","country_code":"CA","type":"education","lineage":["https://openalex.org/I212119943"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Manish Sihag","raw_affiliation_strings":["University of Victoria, Victoria, Canada"],"affiliations":[{"raw_affiliation_string":"University of Victoria, Victoria, Canada","institution_ids":["https://openalex.org/I212119943"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5052349416"],"corresponding_institution_ids":["https://openalex.org/I212119943"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08705594,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"660","last_page":"669"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13497","display_name":"Hermeneutics and Narrative Identity","score":0.9879000186920166,"subfield":{"id":"https://openalex.org/subfields/1211","display_name":"Philosophy"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13497","display_name":"Hermeneutics and Narrative Identity","score":0.9879000186920166,"subfield":{"id":"https://openalex.org/subfields/1211","display_name":"Philosophy"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13695","display_name":"Aging, Elder Care, and Social Issues","score":0.9749000072479248,"subfield":{"id":"https://openalex.org/subfields/3600","display_name":"General Health Professions"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T13099","display_name":"Health, Medicine and Society","score":0.95660001039505,"subfield":{"id":"https://openalex.org/subfields/3600","display_name":"General Health Professions"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5531399250030518},{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.5453646779060364},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.519018292427063},{"id":"https://openalex.org/keywords/open-source","display_name":"Open source","score":0.49875473976135254},{"id":"https://openalex.org/keywords/frequentist-inference","display_name":"Frequentist inference","score":0.4960499703884125},{"id":"https://openalex.org/keywords/publication","display_name":"Publication","score":0.4922424852848053},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.4814276397228241},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4774903953075409},{"id":"https://openalex.org/keywords/survival-analysis","display_name":"Survival analysis","score":0.47032320499420166},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.44899433851242065},{"id":"https://openalex.org/keywords/proportional-hazards-model","display_name":"Proportional hazards model","score":0.4265366792678833},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3533501923084259},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.25501251220703125},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.2458365559577942},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1276511549949646},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.09293004870414734},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.09199708700180054}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5531399250030518},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.5453646779060364},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.519018292427063},{"id":"https://openalex.org/C3018397939","wikidata":"https://www.wikidata.org/wiki/Q3644502","display_name":"Open source","level":3,"score":0.49875473976135254},{"id":"https://openalex.org/C162376815","wikidata":"https://www.wikidata.org/wiki/Q2158281","display_name":"Frequentist inference","level":4,"score":0.4960499703884125},{"id":"https://openalex.org/C41458344","wikidata":"https://www.wikidata.org/wiki/Q732577","display_name":"Publication","level":2,"score":0.4922424852848053},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.4814276397228241},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4774903953075409},{"id":"https://openalex.org/C10515644","wikidata":"https://www.wikidata.org/wiki/Q543310","display_name":"Survival analysis","level":2,"score":0.47032320499420166},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.44899433851242065},{"id":"https://openalex.org/C50382708","wikidata":"https://www.wikidata.org/wiki/Q223218","display_name":"Proportional hazards model","level":2,"score":0.4265366792678833},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3533501923084259},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.25501251220703125},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.2458365559577942},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1276511549949646},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.09293004870414734},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.09199708700180054},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/3524610.3527871","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3524610.3527871","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2203.08320","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2203.08320","pdf_url":"https://arxiv.org/pdf/2203.08320","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":"doi:10.48550/arxiv.2203.08320","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2203.08320","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"},{"id":"doi:10.5281/zenodo.6040656","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.6040656","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":""}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2203.08320","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2203.08320","pdf_url":"https://arxiv.org/pdf/2203.08320","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/W1483775273","https://openalex.org/W1992074508","https://openalex.org/W2079395076","https://openalex.org/W2094707807","https://openalex.org/W2114568887","https://openalex.org/W2134843410","https://openalex.org/W2170341928","https://openalex.org/W2410342995","https://openalex.org/W2735681515","https://openalex.org/W2954266827","https://openalex.org/W3032366322","https://openalex.org/W3090307605","https://openalex.org/W3144106047","https://openalex.org/W3147894994","https://openalex.org/W3203087915","https://openalex.org/W4220985286","https://openalex.org/W4293241248"],"related_works":["https://openalex.org/W2803371","https://openalex.org/W253177","https://openalex.org/W836998","https://openalex.org/W9200278","https://openalex.org/W8035176","https://openalex.org/W14880149","https://openalex.org/W1101424","https://openalex.org/W17589008","https://openalex.org/W1405581","https://openalex.org/W536548"],"abstract_inverted_index":{"A":[0],"recent":[1],"study":[2],"applied":[3,47],"frequentist":[4],"survival":[5,43,76,101,141],"analysis":[6,44],"methods":[7,45],"to":[8,27,48,59,150],"a":[9,62,127,137,155],"subset":[10],"of":[11,20,37,71,77,99,107,130,140],"the":[12,49,69,75,90,97,108,143,151],"Software":[13],"Heritage":[14],"Graph":[15],"and":[16,52,96,132],"determined":[17],"which":[18,116],"attributes":[19,73],"an":[21,34,53],"open":[22],"source":[23],"software":[24,79],"project":[25,55,109],"contribute":[26],"its":[28],"health.":[29],"This":[30],"paper":[31],"serves":[32],"as":[33,61,81,89],"exact":[35],"replication":[36],"that":[38,114],"study.":[39],"In":[40],"addition,":[41],"Bayesian":[42],"were":[46,103,148],"same":[50],"dataset,":[51],"additional":[54],"attribute":[56],"was":[57],"studied":[58],"serve":[60],"conceptual":[63],"replication.":[64],"Both":[65],"analyses":[66],"focus":[67],"on":[68,74,122],"effects":[70],"certain":[72],"open-source":[78],"projects":[80,115],"measured":[82],"by":[83],"their":[84],"revision":[85],"activity.":[86],"Methods":[87],"such":[88],"Kaplan-Meier":[91],"estimator,":[92],"Cox":[93],"Proportional-Hazards":[94],"model,":[95],"visualization":[98],"posterior":[100],"functions":[102],"used":[104],"for":[105],"each":[106],"attributes.":[110],"The":[111,146],"results":[112],"show":[113],"publish":[117],"major":[118],"releases,":[119],"have":[120,136],"repositories":[121],"multiple":[123],"hosting":[124],"services,":[125],"possess":[126],"large":[128],"team":[129],"developers,":[131],"make":[133],"frequent":[134],"revisions":[135],"higher":[138],"likelihood":[139],"in":[142],"long":[144],"run.":[145],"findings":[147],"similar":[149],"original":[152],"study;":[153],"however,":[154],"deeper":[156],"look":[157],"revealed":[158],"quantitative":[159],"inconsistencies.":[160]},"counts_by_year":[],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2022-04-03T00:00:00"}
