{"id":"https://openalex.org/W4417529655","doi":"https://doi.org/10.48550/arxiv.2512.16066","title":"Cold-Start Anti-Patterns and Refactorings in Serverless Systems: An Empirical Study","display_name":"Cold-Start Anti-Patterns and Refactorings in Serverless Systems: An Empirical Study","publication_year":2025,"publication_date":"2025-12-18","ids":{"openalex":"https://openalex.org/W4417529655","doi":"https://doi.org/10.48550/arxiv.2512.16066"},"language":null,"primary_location":{"id":"pmh:oai:arXiv.org:2512.16066","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2512.16066","pdf_url":"https://arxiv.org/pdf/2512.16066","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2512.16066","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5108324208","display_name":"Syed Tariq","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Tariq, Syed Salauddin Mohammad","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034330627","display_name":"Foyzul Hassan","orcid":"https://orcid.org/0000-0003-4543-282X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hassan, Foyzul","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078536980","display_name":"Amiangshu Bosu","orcid":"https://orcid.org/0000-0002-3178-6232"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bosu, Amiangshu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5113257065","display_name":"Probir Roy","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Roy, Probir","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5108324208"],"corresponding_institution_ids":[],"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":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.3246000111103058,"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"}},"topics":[{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.3246000111103058,"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/T12127","display_name":"Software System Performance and Reliability","score":0.271699994802475,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.1509000062942505,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/empirical-research","display_name":"Empirical research","score":0.6606000065803528},{"id":"https://openalex.org/keywords/artifact","display_name":"Artifact (error)","score":0.6388000249862671},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.6220999956130981},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5774999856948853},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.5626999735832214},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5590000152587891},{"id":"https://openalex.org/keywords/code-refactoring","display_name":"Code refactoring","score":0.38989999890327454}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7746000289916992},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.6606000065803528},{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.6388000249862671},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.6220999956130981},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5774999856948853},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.5626999735832214},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5590000152587891},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.4124999940395355},{"id":"https://openalex.org/C152752567","wikidata":"https://www.wikidata.org/wiki/Q116877","display_name":"Code refactoring","level":3,"score":0.38989999890327454},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.3472000062465668},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.3321000039577484},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.33169999718666077},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.3246999979019165},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.30320000648498535},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.29840001463890076},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.29510000348091125},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.28949999809265137},{"id":"https://openalex.org/C199519371","wikidata":"https://www.wikidata.org/wiki/Q942695","display_name":"Source lines of code","level":3,"score":0.28870001435279846},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.28349998593330383},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2768000066280365},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2734000086784363},{"id":"https://openalex.org/C3018396927","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowd sourcing","level":2,"score":0.26010000705718994},{"id":"https://openalex.org/C187303228","wikidata":"https://www.wikidata.org/wiki/Q867330","display_name":"Cyclomatic complexity","level":3,"score":0.25440001487731934}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2512.16066","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2512.16066","pdf_url":"https://arxiv.org/pdf/2512.16066","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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.2512.16066","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2512.16066","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"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2512.16066","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2512.16066","pdf_url":"https://arxiv.org/pdf/2512.16066","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Serverless":[0],"computing":[1],"simplifies":[2],"deployment":[3],"and":[4,50,56,69,94,112,138],"scaling,":[5],"yet":[6],"cold-start":[7,123],"latency":[8],"remains":[9],"a":[10,21,29,66,71,105],"major":[11],"performance":[12],"bottleneck.":[13],"Unlike":[14],"prior":[15,102],"work":[16],"that":[17],"treats":[18],"mitigation":[19,124],"as":[20,28],"black-box":[22],"optimization,":[23],"we":[24,42,63],"study":[25,107],"cold":[26],"starts":[27],"developer-visible":[30],"design":[31],"problem.":[32],"From":[33],"81":[34],"adjudicated":[35],"issue":[36],"reports":[37],"across":[38],"open-source":[39],"serverless":[40,126],"systems,":[41],"derive":[43],"taxonomies":[44],"of":[45],"initialization":[46],"anti-patterns,":[47],"remediation":[48],"strategies,":[49],"diagnostic":[51,96],"challenges":[52],"spanning":[53],"design,":[54],"packaging,":[55],"runtime":[57],"layers.":[58],"Building":[59],"on":[60],"these":[61,116],"insights,":[62],"introduce":[64],"SCABENCH,":[65,85],"reproducible":[67],"benchmark,":[68],"INITSCOPE,":[70],"lightweight":[72],"analysis":[73],"framework":[74],"linking":[75],"what":[76,81],"code":[77],"is":[78,82,132],"loaded":[79],"with":[80,101],"executed.":[83],"On":[84],"INITSCOPE":[86],"improved":[87],"localization":[88],"accuracy":[89,111],"by":[90,98],"up":[91],"to":[92],"40%":[93],"reduced":[95],"effort":[97],"64%":[99],"compared":[100],"tools,":[103],"while":[104],"developer":[106],"showed":[108],"higher":[109],"task":[110],"faster":[113],"diagnosis.":[114],"Together,":[115],"results":[117],"advance":[118],"evidence-driven,":[119],"performance-aware":[120],"practices":[121],"for":[122,135],"in":[125],"design.":[127],"Availability:":[128],"The":[129],"research":[130],"artifact":[131],"publicly":[133],"accessible":[134],"future":[136],"studies":[137],"improvements.":[139]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-12-21T00:00:00"}