{"id":"https://openalex.org/W4398239312","doi":"https://doi.org/10.1145/3639478.3643112","title":"High-precision Online Log Parsing with Large Language Models","display_name":"High-precision Online Log Parsing with Large Language Models","publication_year":2024,"publication_date":"2024-04-14","ids":{"openalex":"https://openalex.org/W4398239312","doi":"https://doi.org/10.1145/3639478.3643112"},"language":"en","primary_location":{"id":"doi:10.1145/3639478.3643112","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3639478.3643112","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3639478.3643112","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3639478.3643112","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078782701","display_name":"Xiaolei Chen","orcid":"https://orcid.org/0009-0000-6136-982X"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaolei Chen","raw_affiliation_strings":["Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086067864","display_name":"Jie Shi","orcid":"https://orcid.org/0009-0007-7413-6735"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Shi","raw_affiliation_strings":["Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100416013","display_name":"Jia Chen","orcid":"https://orcid.org/0000-0001-9883-6356"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Chen","raw_affiliation_strings":["Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100396080","display_name":"Peng Wang","orcid":"https://orcid.org/0000-0002-8136-9621"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Wang","raw_affiliation_strings":["Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100392156","display_name":"Wei Wang","orcid":"https://orcid.org/0000-0003-0264-788X"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Wang","raw_affiliation_strings":["Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5078782701"],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":null,"apc_paid":null,"fwci":2.094,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.8738697,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"354","last_page":"355"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12127","display_name":"Software System Performance and Reliability","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T12127","display_name":"Software System Performance and Reliability","score":0.9998000264167786,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9811999797821045,"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/T10409","display_name":"Fuel Cells and Related Materials","score":0.9534000158309937,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7870566248893738},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.7485289573669434},{"id":"https://openalex.org/keywords/bottom-up-parsing","display_name":"Bottom-up parsing","score":0.4674936830997467},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4617130756378174},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4302799105644226},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.3852630853652954},{"id":"https://openalex.org/keywords/top-down-parsing","display_name":"Top-down parsing","score":0.2679237425327301}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7870566248893738},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.7485289573669434},{"id":"https://openalex.org/C60690694","wikidata":"https://www.wikidata.org/wiki/Q894902","display_name":"Bottom-up parsing","level":4,"score":0.4674936830997467},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4617130756378174},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4302799105644226},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.3852630853652954},{"id":"https://openalex.org/C42560504","wikidata":"https://www.wikidata.org/wiki/Q15419395","display_name":"Top-down parsing","level":3,"score":0.2679237425327301}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3639478.3643112","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3639478.3643112","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3639478.3643112","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3639478.3643112","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3639478.3643112","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3639478.3643112","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4398239312.pdf"},"referenced_works_count":5,"referenced_works":["https://openalex.org/W2754665629","https://openalex.org/W2895810692","https://openalex.org/W2900112551","https://openalex.org/W4284692184","https://openalex.org/W4367146761"],"related_works":["https://openalex.org/W2619584063","https://openalex.org/W2952780262","https://openalex.org/W3088470625","https://openalex.org/W2142145894","https://openalex.org/W3035970863","https://openalex.org/W6643695","https://openalex.org/W3143982968","https://openalex.org/W332673702","https://openalex.org/W2152451097","https://openalex.org/W4381248170"],"abstract_inverted_index":{"System":[0],"logs":[1,13,26],"are":[2],"vital":[3],"for":[4,84],"diagnosing":[5],"system":[6],"failures,":[7],"with":[8],"log":[9,67],"parsing":[10,68,103],"converting":[11],"unstructured":[12],"into":[14,20],"structured":[15],"data.":[16,53],"Existing":[17],"methods":[18],"fall":[19],"two":[21],"categories:":[22],"non-deep-learning":[23],"approaches":[24,40],"cluster":[25],"based":[27],"on":[28,114],"stats":[29],"but":[30,47],"often":[31,48],"miss":[32],"semantic":[33],"information,":[34],"resulting":[35],"in":[36],"poor":[37],"performance.":[38],"Deep-learning":[39],"excel":[41],"at":[42],"identifying":[43],"variables":[44],"and":[45,86],"constants":[46],"lack":[49],"generalizability":[50],"beyond":[51],"training":[52],"And":[54],"they":[55],"always":[56],"suffer":[57],"from":[58],"low":[59],"efficiency.":[60,104],"This":[61],"paper":[62],"proposes":[63],"a":[64,77,96],"novel":[65],"LLM-based":[66],"approach,":[69],"named":[70],"Hooglle,":[71],"to":[72],"address":[73],"these":[74],"challenges.":[75],"Leveraging":[76],"large":[78],"language":[79],"model,":[80],"Hooglle":[81],"extracts":[82],"templates":[83],"precise":[85],"generalized":[87],"parsing.":[88],"To":[89],"overcome":[90],"the":[91],"efficiency":[92],"issue,":[93],"we":[94],"propose":[95],"prefix-tree-based":[97],"full-matching":[98],"strategy":[99],"which":[100],"significantly":[101],"improves":[102],"Extensive":[105],"evaluation":[106],"across":[107],"real-world":[108],"datasets":[109],"showcases":[110],"Hooglle's":[111],"superior":[112],"performance":[113],"16":[115],"public":[116],"benchmark":[117],"datasets.":[118]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
