{"id":"https://openalex.org/W4391491213","doi":"https://doi.org/10.1109/tr.2023.3340020","title":"Revisiting Log Parsing: The Present, the Future, and the Uncertainties","display_name":"Revisiting Log Parsing: The Present, the Future, and the Uncertainties","publication_year":2024,"publication_date":"2024-01-09","ids":{"openalex":"https://openalex.org/W4391491213","doi":"https://doi.org/10.1109/tr.2023.3340020"},"language":"en","primary_location":{"id":"doi:10.1109/tr.2023.3340020","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tr.2023.3340020","pdf_url":null,"source":{"id":"https://openalex.org/S87725633","display_name":"IEEE Transactions on Reliability","issn_l":"0018-9529","issn":["0018-9529","1558-1721"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Reliability","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022275027","display_name":"Zhijing Li","orcid":"https://orcid.org/0000-0002-2066-9874"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhijing Li","raw_affiliation_strings":["School of Data Science, Chinese University of Hong Kong, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-2066-9874","affiliations":[{"raw_affiliation_string":"School of Data Science, Chinese University of Hong Kong, Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028701506","display_name":"Qiuai Fu","orcid":"https://orcid.org/0000-0002-2420-955X"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiuai Fu","raw_affiliation_strings":["Huawei Cloud Computing Technologies Company Ltd., Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei Cloud Computing Technologies Company Ltd., Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101559480","display_name":"Zhijun Huang","orcid":"https://orcid.org/0000-0002-3393-1915"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhijun Huang","raw_affiliation_strings":["School of Data Science, Chinese University of Hong Kong, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-3393-1915","affiliations":[{"raw_affiliation_string":"School of Data Science, Chinese University of Hong Kong, Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102362221","display_name":"Jianbo Yu","orcid":"https://orcid.org/0009-0002-2381-8780"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianbo Yu","raw_affiliation_strings":["School of Data Science, Chinese University of Hong Kong, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Data Science, Chinese University of Hong Kong, Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076727766","display_name":"Yiqian Li","orcid":null},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiqian Li","raw_affiliation_strings":["School of Data Science, Chinese University of Hong Kong, Shenzhen, China"],"raw_orcid":"https://orcid.org/0009-0003-6132-7533","affiliations":[{"raw_affiliation_string":"School of Data Science, Chinese University of Hong Kong, Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018790130","display_name":"Yuanhao Lai","orcid":"https://orcid.org/0000-0002-9154-5668"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanhao Lai","raw_affiliation_strings":["Service Lab, Huawei Technologies, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Service Lab, Huawei Technologies, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048525009","display_name":"Yuchi Ma","orcid":"https://orcid.org/0009-0002-3304-1389"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuchi Ma","raw_affiliation_strings":["Huawei Cloud Computing Technologies Company Ltd., Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei Cloud Computing Technologies Company Ltd., Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8733,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.85395068,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"73","issue":"3","first_page":"1459","last_page":"1472"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12127","display_name":"Software System Performance and Reliability","score":0.9998999834060669,"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":0.9998999834060669,"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/T10260","display_name":"Software Engineering Research","score":0.9528999924659729,"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/T12423","display_name":"Software Reliability and Analysis Research","score":0.9036999940872192,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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/parsing","display_name":"Parsing","score":0.8859362006187439},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.8196293115615845},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7897223830223083},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5250667929649353},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.4758738577365875},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.46609628200531006},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.4654247462749481},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.42522525787353516},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41905394196510315},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36550337076187134},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.13725751638412476}],"concepts":[{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.8859362006187439},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.8196293115615845},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7897223830223083},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5250667929649353},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4758738577365875},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.46609628200531006},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.4654247462749481},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.42522525787353516},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41905394196510315},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36550337076187134},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.13725751638412476},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tr.2023.3340020","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tr.2023.3340020","pdf_url":null,"source":{"id":"https://openalex.org/S87725633","display_name":"IEEE Transactions on Reliability","issn_l":"0018-9529","issn":["0018-9529","1558-1721"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Reliability","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6997327350","display_name":null,"funder_award_id":"CCF-HuaweiSE2021007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8710987931","display_name":null,"funder_award_id":"62102340","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1661413208","https://openalex.org/W1994625872","https://openalex.org/W2015979301","https://openalex.org/W2035383614","https://openalex.org/W2076809217","https://openalex.org/W2098695822","https://openalex.org/W2102632804","https://openalex.org/W2107263349","https://openalex.org/W2115056012","https://openalex.org/W2153470728","https://openalex.org/W2208211896","https://openalex.org/W2527994611","https://openalex.org/W2536393303","https://openalex.org/W2560021099","https://openalex.org/W2577236676","https://openalex.org/W2583874385","https://openalex.org/W2754665629","https://openalex.org/W2755402962","https://openalex.org/W2909880748","https://openalex.org/W2963999143","https://openalex.org/W2966971704","https://openalex.org/W2966979768","https://openalex.org/W2999799926","https://openalex.org/W3041215671","https://openalex.org/W3053157454","https://openalex.org/W3089662691","https://openalex.org/W3100214273","https://openalex.org/W3108201674","https://openalex.org/W3117426595","https://openalex.org/W3128928262","https://openalex.org/W3130909071","https://openalex.org/W3139126460","https://openalex.org/W3162654878","https://openalex.org/W3163667769","https://openalex.org/W4221079409","https://openalex.org/W4226164906","https://openalex.org/W4284688717","https://openalex.org/W4284692184","https://openalex.org/W4367146761","https://openalex.org/W6732386721","https://openalex.org/W6749336956","https://openalex.org/W6810672456"],"related_works":["https://openalex.org/W2989490741","https://openalex.org/W3092506759","https://openalex.org/W2367545121","https://openalex.org/W4248881655","https://openalex.org/W2482165163","https://openalex.org/W3010890513","https://openalex.org/W120741642","https://openalex.org/W138569904","https://openalex.org/W2390914021","https://openalex.org/W2389417819"],"abstract_inverted_index":{"In":[0,29,151,161],"the":[1,4,30,56,86,101,140,159,178,190,203,234,256,259,273,288],"recent":[2,64],"decade,":[3],"amount":[5],"of":[6,17,33,89,119,142,180,296],"software":[7],"runtime":[8],"logs":[9,45],"has":[10],"increased":[11],"rapidly":[12],"and":[13,81,93,196,291],"spawned":[14],"a":[15,170,220,225,263],"line":[16],"automated":[18],"log":[19,34,36,90,113,126,143,217,260,269,275],"analysis":[20],"research":[21,65,92],"using":[22],"machine":[23],"learning":[24],"or":[25,43],"data":[26],"mining":[27],"algorithms.":[28,54],"typical":[31],"workflow":[32],"analysis,":[35],"parsing,":[37],"which":[38,206,301],"aims":[39],"to":[40,51,98,111,198,201,208,254],"transform":[41],"unstructured":[42],"semistructured":[44],"into":[46],"structured":[47],"logs,":[48,205],"is":[49,224],"crucial":[50],"various":[52],"downstream":[53],"While":[55],"state-of-the-art":[57],"(SOTA)":[58],"parsers":[59,69,121,144],"achieve":[60],"extremely":[61],"high":[62],"accuracy,":[63,176],"shows":[66],"that":[67,139,215,233],"these":[68],"are":[70,83],"far":[71],"from":[72],"being":[73],"useful":[74],"under":[75,128,147],"stricter":[76],"evaluation":[77,130,149],"metrics.":[78,150],"Thus,":[79],"researchers":[80],"practitioners":[82],"unclear":[84],"about":[85],"current":[87],"state":[88],"parsing":[91,114,185,218,270],"what":[94],"might":[95],"be":[96],"important":[97,156],"explore":[99],"in":[100,158,174,184,194,258],"future.":[102],"To":[103,244],"this":[104,246],"end,":[105],"we":[106,230,248],"conduct":[107],"an":[108,155,250,292],"empirical":[109],"study":[110],"revisit":[112],"by":[115],"running":[116],"extensive":[117,251],"experiments":[118],"SOTA":[120],"on":[122,287,298],"16":[123,299],"widely":[124,236],"used":[125,237],"datasets":[127],"five":[129],"metrics":[131],"with":[132,164],"different":[133,148],"preprocessing":[134,153,163,182,195],"settings.":[135],"Our":[136],"results":[137,213],"show":[138],"performance":[141,172],"varies":[145],"significantly":[146],"addition,":[152],"plays":[154],"role":[157],"evaluation.":[160],"particular,":[162],"common":[165],"regular":[166,192,281],"expressions":[167,193],"can":[168],"cause":[169],"0.38":[171],"difference":[173],"group":[175],"highlighting":[177],"importance":[179],"reporting":[181],"details":[183],"research.":[186,271],"We":[187],"also":[188],"generalize":[189],"word-level":[191,221],"try":[197],"use":[199],"them":[200],"parse":[202],"whole":[204],"leads":[207],"surprisingly":[209],"decent":[210],"accuracy.":[211],"These":[212],"imply":[214],"formulating":[216],"as":[219],"classification":[222],"task":[223],"feasible":[226],"future":[227,268],"direction.":[228],"Moreover,":[229],"find":[231],"out":[232],"most":[235],"dataset":[238,290],"(i.e.,":[239],"LogHub)":[240],"contains":[241],"labeling":[242],"errors.":[243],"address":[245],"issue,":[247],"make":[249],"manual":[252],"effort":[253],"fix":[255],"errors":[257],"dataset,":[261,276],"providing":[262],"revised":[264,274],"ground":[265],"truth":[266],"for":[267],"On":[272],"our":[277],"simple":[278],"parser":[279],"(word-level":[280],"expression-based)":[282],"achieves":[283],"0.97":[284],"precision-template":[285],"accuracy":[286,295],"Spark":[289],"average":[293],"recall-template":[294],"0.93":[297],"datasets,":[300],"outperforms":[302],"all":[303],"existing":[304],"parsers.":[305]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}