{"id":"https://openalex.org/W4387700581","doi":"https://doi.org/10.1145/3615366.3615423","title":"Leveraging Time Series Autocorrelation Through Numerical Differentiation for Improving Failure Prediction","display_name":"Leveraging Time Series Autocorrelation Through Numerical Differentiation for Improving Failure Prediction","publication_year":2023,"publication_date":"2023-10-16","ids":{"openalex":"https://openalex.org/W4387700581","doi":"https://doi.org/10.1145/3615366.3615423"},"language":"en","primary_location":{"id":"doi:10.1145/3615366.3615423","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3615366.3615423","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3615366.3615423","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"12th Latin-American Symposium on Dependable and Secure Computing","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/10.1145/3615366.3615423","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045188001","display_name":"Jo\u00e3o R. Campos","orcid":"https://orcid.org/0000-0002-4623-764X"},"institutions":[{"id":"https://openalex.org/I76903346","display_name":"University of Coimbra","ror":"https://ror.org/04z8k9a98","country_code":"PT","type":"education","lineage":["https://openalex.org/I76903346"]}],"countries":["PT"],"is_corresponding":true,"raw_author_name":"Jo\u00e3o R. Campos","raw_affiliation_strings":["University of Coimbra, Centre for Informatics and Systems of the University of Coimbra, Department of Informatics Engineering, University of Coimbra, Portugal"],"raw_orcid":"https://orcid.org/0000-0002-4623-764X","affiliations":[{"raw_affiliation_string":"University of Coimbra, Centre for Informatics and Systems of the University of Coimbra, Department of Informatics Engineering, University of Coimbra, Portugal","institution_ids":["https://openalex.org/I76903346"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101627511","display_name":"Rodrigo Machado","orcid":"https://orcid.org/0000-0002-5409-6242"},"institutions":[{"id":"https://openalex.org/I76903346","display_name":"University of Coimbra","ror":"https://ror.org/04z8k9a98","country_code":"PT","type":"education","lineage":["https://openalex.org/I76903346"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Rodrigo Machado","raw_affiliation_strings":["University of Coimbra, Centre for Informatics and Systems of the University of Coimbra, Department of Informatics Engineering, University of Coimbra, Portugal"],"raw_orcid":"https://orcid.org/0000-0002-5409-6242","affiliations":[{"raw_affiliation_string":"University of Coimbra, Centre for Informatics and Systems of the University of Coimbra, Department of Informatics Engineering, University of Coimbra, Portugal","institution_ids":["https://openalex.org/I76903346"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016622594","display_name":"Marco Vieira","orcid":"https://orcid.org/0000-0001-5103-8541"},"institutions":[{"id":"https://openalex.org/I76903346","display_name":"University of Coimbra","ror":"https://ror.org/04z8k9a98","country_code":"PT","type":"education","lineage":["https://openalex.org/I76903346"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Marco Vieira","raw_affiliation_strings":["University of Coimbra, Centre for Informatics and Systems of the University of Coimbra, Department of Informatics Engineering, University of Coimbra, Portugal"],"raw_orcid":"https://orcid.org/0000-0001-5103-8541","affiliations":[{"raw_affiliation_string":"University of Coimbra, Centre for Informatics and Systems of the University of Coimbra, Department of Informatics Engineering, University of Coimbra, Portugal","institution_ids":["https://openalex.org/I76903346"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5045188001"],"corresponding_institution_ids":["https://openalex.org/I76903346"],"apc_list":null,"apc_paid":null,"fwci":0.1968,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.52123619,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"70","last_page":"79"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12127","display_name":"Software System Performance and Reliability","score":0.9995999932289124,"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":0.9995999932289124,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.992900013923645,"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/computer-science","display_name":"Computer science","score":0.7643693089485168},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6392858028411865},{"id":"https://openalex.org/keywords/dependability","display_name":"Dependability","score":0.6354281306266785},{"id":"https://openalex.org/keywords/autocorrelation","display_name":"Autocorrelation","score":0.5158280730247498},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5069051384925842},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.4925025403499603},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4873236119747162},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.476898193359375},{"id":"https://openalex.org/keywords/sliding-window-protocol","display_name":"Sliding window protocol","score":0.461515873670578},{"id":"https://openalex.org/keywords/performance-metric","display_name":"Performance metric","score":0.42817267775535583},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.4169835150241852},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3588430881500244},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.33867812156677246},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32759857177734375},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1200176477432251},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.10195684432983398}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7643693089485168},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6392858028411865},{"id":"https://openalex.org/C77019957","wikidata":"https://www.wikidata.org/wiki/Q2689057","display_name":"Dependability","level":2,"score":0.6354281306266785},{"id":"https://openalex.org/C5297727","wikidata":"https://www.wikidata.org/wiki/Q786970","display_name":"Autocorrelation","level":2,"score":0.5158280730247498},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5069051384925842},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.4925025403499603},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4873236119747162},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.476898193359375},{"id":"https://openalex.org/C102392041","wikidata":"https://www.wikidata.org/wiki/Q592860","display_name":"Sliding window protocol","level":3,"score":0.461515873670578},{"id":"https://openalex.org/C2780898871","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Performance metric","level":2,"score":0.42817267775535583},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.4169835150241852},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3588430881500244},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.33867812156677246},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32759857177734375},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1200176477432251},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.10195684432983398},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3615366.3615423","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3615366.3615423","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3615366.3615423","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"12th Latin-American Symposium on Dependable and Secure Computing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3615366.3615423","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3615366.3615423","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3615366.3615423","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"12th Latin-American Symposium on Dependable and Secure Computing","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1779328845","display_name":null,"funder_award_id":"UIDB/00326/2020","funder_id":"https://openalex.org/F4320334779","funder_display_name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia"},{"id":"https://openalex.org/G2004835840","display_name":null,"funder_award_id":"UIDB/00326/2020,UIDP/00326/2020","funder_id":"https://openalex.org/F4320330374","funder_display_name":"Foundation for Science and Technology"},{"id":"https://openalex.org/G433596833","display_name":null,"funder_award_id":"UIDP/00326/2020","funder_id":"https://openalex.org/F4320334779","funder_display_name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia"},{"id":"https://openalex.org/G4811366021","display_name":null,"funder_award_id":"00326","funder_id":"https://openalex.org/F4320334779","funder_display_name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia"},{"id":"https://openalex.org/G7892808162","display_name":null,"funder_award_id":"02/C05-i01/2022","funder_id":"https://openalex.org/F4320334779","funder_display_name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia"},{"id":"https://openalex.org/G8596655568","display_name":null,"funder_award_id":"UIDP/00326/2020","funder_id":"https://openalex.org/F4320323642","funder_display_name":"Minist\u00e9rio da Ci\u00eancia, Tecnologia e Ensino Superior"}],"funders":[{"id":"https://openalex.org/F4320323642","display_name":"Minist\u00e9rio da Ci\u00eancia, Tecnologia e Ensino Superior","ror":"https://ror.org/045b9pr88"},{"id":"https://openalex.org/F4320330374","display_name":"Foundation for Science and Technology","ror":null},{"id":"https://openalex.org/F4320334779","display_name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia","ror":"https://ror.org/00snfqn58"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387700581.pdf","grobid_xml":"https://content.openalex.org/works/W4387700581.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W1496557148","https://openalex.org/W1547333707","https://openalex.org/W1581659492","https://openalex.org/W2020233561","https://openalex.org/W2030826766","https://openalex.org/W2040395995","https://openalex.org/W2053391937","https://openalex.org/W2097240459","https://openalex.org/W2117829824","https://openalex.org/W2145071552","https://openalex.org/W2164463086","https://openalex.org/W2249595199","https://openalex.org/W2592735969","https://openalex.org/W2738710562","https://openalex.org/W2787894218","https://openalex.org/W2811327923","https://openalex.org/W2907193918","https://openalex.org/W3005820278","https://openalex.org/W3016129047","https://openalex.org/W3021969544","https://openalex.org/W3046220160","https://openalex.org/W3089862415","https://openalex.org/W3099667931","https://openalex.org/W3102631786","https://openalex.org/W3116366071","https://openalex.org/W3183619936","https://openalex.org/W3216686652","https://openalex.org/W4286373840","https://openalex.org/W4288048334","https://openalex.org/W4301868749","https://openalex.org/W4306811492","https://openalex.org/W4317893222","https://openalex.org/W4367310673"],"related_works":["https://openalex.org/W4252527915","https://openalex.org/W2409287660","https://openalex.org/W2233357156","https://openalex.org/W1976489385","https://openalex.org/W4256317220","https://openalex.org/W1506225852","https://openalex.org/W2141414364","https://openalex.org/W2376514150","https://openalex.org/W1523265213","https://openalex.org/W2363668972"],"abstract_inverted_index":{"Given":[0],"the":[1,28,52,60,64,88,103,147,153,165,174,209],"complexity":[2],"of":[3,63,71,79,84,105,149,168,176,211],"modern":[4,67],"software":[5],"systems,":[6],"it":[7],"is":[8,41,113],"no":[9],"longer":[10],"possible":[11],"to":[12,23,48,115,161,172,207],"detect":[13],"every":[14],"fault":[15,195],"before":[16],"deployment.":[17],"Such":[18],"faults":[19],"can":[20,95,202],"eventually":[21],"lead":[22],"failures":[24,50],"at":[25,109],"runtime,":[26],"compromising":[27],"business":[29],"process":[30],"and":[31,59,74,155],"causing":[32],"significant":[33],"risk":[34],"or":[35,134],"losses.":[36],"Online":[37],"Failure":[38],"Prediction":[39],"(OFP)":[40],"a":[42,76,106,110,159,183,187,204],"complementary":[43],"fault-tolerance":[44],"technique":[45],"that":[46,191,199],"tries":[47],"predict":[49],"in":[51],"near":[53],"future,":[54],"by":[55],"using":[56,186],"past":[57],"data":[58,94],"current":[61],"state":[62,81],"system.":[65],"However,":[66],"systems":[68],"are":[69,128],"comprised":[70],"many":[72],"components":[73],"thus":[75],"proper":[77],"characterization":[78],"its":[80,116],"requires":[82],"hundreds":[83],"system":[85,89,107,170],"metrics.":[86],"As":[87],"evolves":[90],"through":[91,194],"time,":[92],"these":[93],"be":[96,203],"seen":[97],"as":[98,158],"multivariate":[99],"time":[100,112],"series,":[101],"where":[102],"value":[104],"metric":[108,171],"given":[111],"related":[114],"previous":[117],"value.":[118],"Although":[119],"various":[120],"techniques":[121],"exist":[122],"for":[123,179,216],"leveraging":[124],"this":[125,143],"autocorrelation,":[126],"they":[127],"often":[129],"either":[130],"simplistic":[131],"(e.g.,":[132,137,223],"sliding-window),":[133],"too":[135],"complex":[136],"Long-Short":[138],"Term":[139],"Memory":[140],"(LSTM)).":[141],"In":[142],"paper":[144],"we":[145],"propose":[146],"use":[148],"numerical":[150,200],"differentiation,":[151],"computing":[152],"first":[154],"second":[156],"derivative,":[157],"means":[160],"extract":[162],"information":[163],"concerning":[164],"underlying":[166],"function":[167],"each":[169],"support":[173],"development":[175],"predictive":[177],"models":[178,215],"OFP.":[180],"We":[181],"conduct":[182],"comprehensive":[184],"case":[185],"Linux":[188],"failure":[189],"dataset":[190],"was":[192],"generated":[193],"injection.":[196],"Results":[197],"suggest":[198],"differentiation":[201],"promising":[205],"approach":[206],"improve":[208],"performance":[210],"Machine":[212],"Learning":[213],"(ML)":[214],"dependability-related":[217],"problems":[218],"with":[219],"similar":[220],"sequential":[221],"characteristics":[222],"intrusion":[224],"detection).":[225]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
