{"id":"https://openalex.org/W4404564309","doi":"https://doi.org/10.1109/dft63277.2024.10753560","title":"Using High-Level Profiling Data to Early Assess the Robustness of Digital Systems","display_name":"Using High-Level Profiling Data to Early Assess the Robustness of Digital Systems","publication_year":2024,"publication_date":"2024-10-08","ids":{"openalex":"https://openalex.org/W4404564309","doi":"https://doi.org/10.1109/dft63277.2024.10753560"},"language":"en","primary_location":{"id":"doi:10.1109/dft63277.2024.10753560","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dft63277.2024.10753560","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT)","raw_type":"proceedings-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/A5005158910","display_name":"Luc Noizette","orcid":"https://orcid.org/0000-0002-7686-1814"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I899635006","display_name":"Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/02rx3b187","country_code":"FR","type":"education","lineage":["https://openalex.org/I899635006"]},{"id":"https://openalex.org/I106785703","display_name":"Institut polytechnique de Grenoble","ror":"https://ror.org/05sbt2524","country_code":"FR","type":"education","lineage":["https://openalex.org/I106785703","https://openalex.org/I899635006"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Luc Noizette","raw_affiliation_strings":["Univ. Grenoble Alpes, CNRS, Grenoble INP*, TIMA,Grenoble,France,38000"],"affiliations":[{"raw_affiliation_string":"Univ. Grenoble Alpes, CNRS, Grenoble INP*, TIMA,Grenoble,France,38000","institution_ids":["https://openalex.org/I106785703","https://openalex.org/I899635006","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075419658","display_name":"F. Miller","orcid":null},"institutions":[{"id":"https://openalex.org/I4210130528","display_name":"LFB (France)","ror":"https://ror.org/03af82z38","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210130528"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Florent Miller","raw_affiliation_strings":["Nucletudes,Les-Ulis,France"],"affiliations":[{"raw_affiliation_string":"Nucletudes,Les-Ulis,France","institution_ids":["https://openalex.org/I4210130528"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015165635","display_name":"Youri Helen","orcid":"https://orcid.org/0009-0007-9223-7759"},"institutions":[{"id":"https://openalex.org/I2799681489","display_name":"Minist\u00e8re des Arm\u00e9es","ror":"https://ror.org/025er3q23","country_code":"FR","type":"funder","lineage":["https://openalex.org/I2799681489","https://openalex.org/I2802818602"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Youri Helen","raw_affiliation_strings":["French Ministry of Defense,Bruz,France"],"affiliations":[{"raw_affiliation_string":"French Ministry of Defense,Bruz,France","institution_ids":["https://openalex.org/I2799681489"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007953332","display_name":"R. Leveugle","orcid":"https://orcid.org/0000-0001-8664-412X"},"institutions":[{"id":"https://openalex.org/I899635006","display_name":"Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/02rx3b187","country_code":"FR","type":"education","lineage":["https://openalex.org/I899635006"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I106785703","display_name":"Institut polytechnique de Grenoble","ror":"https://ror.org/05sbt2524","country_code":"FR","type":"education","lineage":["https://openalex.org/I106785703","https://openalex.org/I899635006"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"R\u00e9gis Leveugle","raw_affiliation_strings":["Univ. Grenoble Alpes, CNRS, Grenoble INP*, TIMA,Grenoble,France,38000"],"affiliations":[{"raw_affiliation_string":"Univ. Grenoble Alpes, CNRS, Grenoble INP*, TIMA,Grenoble,France,38000","institution_ids":["https://openalex.org/I106785703","https://openalex.org/I899635006","https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5005158910"],"corresponding_institution_ids":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I899635006"],"apc_list":null,"apc_paid":null,"fwci":0.3869,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.6309895,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14306","display_name":"Technology Assessment and Management","score":0.9537000060081482,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T14306","display_name":"Technology Assessment and Management","score":0.9537000060081482,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9441999793052673,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11159","display_name":"Manufacturing Process and Optimization","score":0.9075000286102295,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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":0.6962548494338989},{"id":"https://openalex.org/keywords/profiling","display_name":"Profiling (computer programming)","score":0.662668764591217},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6225987076759338},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.353965163230896},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.0744638442993164}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6962548494338989},{"id":"https://openalex.org/C187191949","wikidata":"https://www.wikidata.org/wiki/Q1138496","display_name":"Profiling (computer programming)","level":2,"score":0.662668764591217},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6225987076759338},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.353965163230896},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0744638442993164},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dft63277.2024.10753560","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dft63277.2024.10753560","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1619770058","https://openalex.org/W1935809293","https://openalex.org/W1973130424","https://openalex.org/W2056316291","https://openalex.org/W2088285489","https://openalex.org/W2103006842","https://openalex.org/W2107822077","https://openalex.org/W2148156265","https://openalex.org/W2201265203","https://openalex.org/W2735847117","https://openalex.org/W2753154441","https://openalex.org/W2790442549","https://openalex.org/W2883183116","https://openalex.org/W2971478958","https://openalex.org/W3149134903","https://openalex.org/W3156657864","https://openalex.org/W3214360577","https://openalex.org/W4206220365","https://openalex.org/W4229484812","https://openalex.org/W4232751114","https://openalex.org/W4285032861","https://openalex.org/W4312714658","https://openalex.org/W4362600422"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Complex":[0],"digital":[1],"components":[2],"such":[3,32],"as":[4],"high":[5],"performance":[6],"CPUs":[7],"are":[8,28,122,144],"increasingly":[9],"used":[10],"in":[11],"embedded":[12],"systems":[13,33],"with":[14,146],"major":[15],"robustness":[16,19,86,96],"requirements.":[17],"Early":[18],"evaluations,":[20],"and":[21,52,81,110,138],"evaluations":[22,43,70],"all":[23],"along":[24],"the":[25,38,49,53,61,78,85,119,134,147,156,159,163,166],"development":[26],"phases,":[27],"necessary":[29],"when":[30,60,141],"designing":[31],"to":[34,112,125],"quickly":[35],"converge":[36],"towards":[37],"expected":[39,75],"dependability":[40],"level.":[41],"These":[42],"must":[44,71],"take":[45],"into":[46],"account":[47],"both":[48],"hardware":[50,136],"platform":[51],"application":[54,63],"software,":[55],"but":[56],"at":[57],"a":[58,95,101],"time":[59],"real":[62],"software":[64,80,108],"is":[65],"not":[66],"yet":[67],"available.":[68],"First":[69],"therefore":[72],"rely":[73],"on":[74,100,133,162],"characteristics":[76],"of":[77,87,103,150,158,165],"target":[79],"some":[82],"knowledge":[83],"about":[84],"similar":[88],"programs.":[89],"In":[90],"this":[91],"context,":[92],"we":[93],"propose":[94],"evaluation":[97],"methodology":[98],"based":[99],"set":[102],"metrics":[104,143],"quantified":[105],"using":[106],"high-level":[107],"profiling":[109],"exploited":[111],"compute":[113],"derating":[114],"factors.":[115],"We":[116,153],"show":[117],"that":[118],"early":[120],"predictions":[121],"very":[123],"close":[124],"results":[126],"obtained":[127],"from":[128],"lengthy":[129],"fault":[130],"injections":[131],"performed":[132],"actual":[135],"platform,":[137],"still":[139],"better":[140],"several":[142],"combined":[145],"usual":[148],"consideration":[149],"data":[151],"lifetime.":[152],"also":[154],"discuss":[155],"impact":[157],"compilation":[160],"options":[161],"quality":[164],"evaluations.":[167]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}
