{"id":"https://openalex.org/W4308648323","doi":"https://doi.org/10.1145/3540250.3558963","title":"An empirical study of log analysis at Microsoft","display_name":"An empirical study of log analysis at Microsoft","publication_year":2022,"publication_date":"2022-11-07","ids":{"openalex":"https://openalex.org/W4308648323","doi":"https://doi.org/10.1145/3540250.3558963"},"language":"en","primary_location":{"id":"doi:10.1145/3540250.3558963","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3540250.3558963","pdf_url":null,"source":{"id":"https://openalex.org/S4363608883","display_name":"Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering","raw_type":"proceedings-article"},"type":"conference-paper","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/A5078511386","display_name":"Shilin He","orcid":"https://orcid.org/0000-0002-8595-5388"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shilin He","raw_affiliation_strings":["Microsoft Research, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100437188","display_name":"Xu Zhang","orcid":"https://orcid.org/0000-0001-9080-8027"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Zhang","raw_affiliation_strings":["Microsoft Research, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101941950","display_name":"Pinjia He","orcid":"https://orcid.org/0000-0003-3377-8129"},"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":"Pinjia He","raw_affiliation_strings":["Chinese University of Hong Kong at Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese University of Hong Kong at Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100359961","display_name":"Yong Xu","orcid":"https://orcid.org/0000-0003-0530-2123"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Xu","raw_affiliation_strings":["Microsoft Research, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101627047","display_name":"Liqun Li","orcid":"https://orcid.org/0000-0003-4579-3799"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liqun Li","raw_affiliation_strings":["Microsoft Research, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043798385","display_name":"Yu Kang","orcid":"https://orcid.org/0009-0004-1735-5876"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Kang","raw_affiliation_strings":["Microsoft Research, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070950193","display_name":"Minghua Ma","orcid":"https://orcid.org/0000-0002-6303-1731"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minghua Ma","raw_affiliation_strings":["Microsoft Research, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046068012","display_name":"Yining Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yining Wei","raw_affiliation_strings":["Microsoft Azure, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Azure, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086338440","display_name":"Yingnong Dang","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yingnong Dang","raw_affiliation_strings":["Microsoft Azure, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Azure, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038088893","display_name":"Saravanakumar Rajmohan","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Saravanakumar Rajmohan","raw_affiliation_strings":["Microsoft 365, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft 365, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088646345","display_name":"Qingwei Lin","orcid":"https://orcid.org/0000-0003-2559-2383"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingwei Lin","raw_affiliation_strings":["Microsoft Research, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research, China","institution_ids":["https://openalex.org/I4210113369"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1465","last_page":"1476"},"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":0.9750999808311462,"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":0.9476000070571899,"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":0.6724461913108826},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5926774144172668},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5353041291236877},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5074986815452576},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.4867696762084961},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.48673346638679504},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.414799302816391},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.23773059248924255},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20661094784736633},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19680163264274597}],"concepts":[{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.6724461913108826},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5926774144172668},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5353041291236877},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5074986815452576},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.4867696762084961},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.48673346638679504},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.414799302816391},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.23773059248924255},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20661094784736633},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19680163264274597},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3540250.3558963","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3540250.3558963","pdf_url":null,"source":{"id":"https://openalex.org/S4363608883","display_name":"Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6399999856948853,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1969939902","https://openalex.org/W1987454953","https://openalex.org/W2039157918","https://openalex.org/W2094924503","https://openalex.org/W2096761130","https://openalex.org/W2120416238","https://openalex.org/W2142759419","https://openalex.org/W2208211896","https://openalex.org/W2391120767","https://openalex.org/W2401686019","https://openalex.org/W2405408229","https://openalex.org/W2754665629","https://openalex.org/W2767094836","https://openalex.org/W2883560233","https://openalex.org/W2903799441","https://openalex.org/W2947815220","https://openalex.org/W2948517885","https://openalex.org/W2963999143","https://openalex.org/W2981930254","https://openalex.org/W2999013495","https://openalex.org/W3004071943","https://openalex.org/W3041215671","https://openalex.org/W3043599974","https://openalex.org/W3047881323","https://openalex.org/W3085376512","https://openalex.org/W3105931142","https://openalex.org/W3138686503","https://openalex.org/W3147048975","https://openalex.org/W3159695152","https://openalex.org/W3162211386","https://openalex.org/W3162287891","https://openalex.org/W3183619936","https://openalex.org/W3194035167","https://openalex.org/W3195057108","https://openalex.org/W4246903272","https://openalex.org/W4284692184"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W3210364259","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W2912112202","https://openalex.org/W2667207928","https://openalex.org/W4300558037","https://openalex.org/W4377864969","https://openalex.org/W3030345572"],"abstract_inverted_index":{"Logs":[0],"are":[1,39,45],"crucial":[2],"to":[3],"the":[4,33,46,88,102,110,143,178,185],"management":[5],"and":[6,28,80,93,114,116,138,184,192,194],"maintenance":[7],"of":[8,49,77,96,181],"software":[9,170],"systems.":[10],"In":[11,54],"recent":[12,158],"years,":[13],"log":[14,26,50,64,97,120,134,150],"analysis":[15,51,65,121],"research":[16,137],"has":[17,153],"achieved":[18,163],"notable":[19],"progress":[20],"on":[21,63,119],"various":[22],"topics":[23],"such":[24],"as":[25],"parsing":[27],"log-based":[29],"anomaly":[30,135],"detection.":[31],"However,":[32],"real":[34,179],"voices":[35],"from":[36,71,202],"front-line":[37],"practitioners":[38,183],"seldom":[40],"heard.":[41],"For":[42],"example,":[43],"what":[44],"pain":[47,94],"points":[48,95],"in":[52,157],"practice?":[53],"this":[55,174],"work,":[56],"we":[57,108,127],"conduct":[58],"a":[59,75,129],"comprehensive":[60],"survey":[61],"study":[62],"at":[66],"Microsoft.":[67],"We":[68,86,172],"collected":[69],"feedback":[70],"105":[72],"employees":[73],"through":[74],"questionnaire":[76],"13":[78],"questions":[79],"individual":[81],"interviews":[82],"with":[83,105,122],"12":[84],"employees.":[85],"summarize":[87],"format,":[89],"scenario,":[90],"method,":[91],"tool,":[92],"analysis.":[98],"Additionally,":[99],"by":[100,164],"comparing":[101],"industrial":[103,182],"practices":[104,141],"academic":[106],"research,":[107,159],"discuss":[109],"gaps":[111],"between":[112,133,190],"academia":[113],"industry,":[115],"future":[117,197],"opportunities":[118],"four":[123],"inspiring":[124],"findings.":[125],"Particularly,":[126],"observe":[128],"huge":[130],"gap":[131,189],"exists":[132],"detection":[136],"failure":[139],"alerting":[140],"regarding":[142],"goal,":[144],"technique,":[145],"efficiency,":[146],"etc.":[147],"Moreover,":[148],"data-driven":[149],"parsing,":[151],"which":[152],"been":[154],"widely":[155],"studied":[156],"can":[160],"be":[161],"alternatively":[162],"simply":[165],"logging":[166],"template":[167],"IDs":[168],"during":[169],"development.":[171],"hope":[173],"paper":[175],"could":[176],"uncover":[177],"needs":[180],"unnoticed":[186],"yet":[187],"significant":[188],"industry":[191],"academia,":[193],"inspire":[195],"interesting":[196],"directions":[198],"that":[199],"converge":[200],"efforts":[201],"both":[203],"sides.":[204]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":5}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
