{"id":"https://openalex.org/W1988211140","doi":"https://doi.org/10.1109/test.2008.4700595","title":"An Effective and Flexible Multiple Defect Diagnosis Methodology Using Error Propagation Analysis","display_name":"An Effective and Flexible Multiple Defect Diagnosis Methodology Using Error Propagation Analysis","publication_year":2008,"publication_date":"2008-10-01","ids":{"openalex":"https://openalex.org/W1988211140","doi":"https://doi.org/10.1109/test.2008.4700595","mag":"1988211140"},"language":"en","primary_location":{"id":"doi:10.1109/test.2008.4700595","is_oa":false,"landing_page_url":"https://doi.org/10.1109/test.2008.4700595","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Test Conference","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/A5036938235","display_name":"Xiaochun Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xiaochun Yu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA","Dept. of Electr. & Comput. Eng., Carnegie-Mellon Univ., Pittsburgh, PA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Carnegie-Mellon Univ., Pittsburgh, PA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111967389","display_name":"R.D. Blanton","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"R.D. Blanton","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA","Dept. of Electr. & Comput. Eng., Carnegie-Mellon Univ., Pittsburgh, PA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Carnegie-Mellon Univ., Pittsburgh, PA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5036938235"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":3.32517675,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.95431925,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11032","display_name":"VLSI and Analog Circuit Testing","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T11032","display_name":"VLSI and Analog Circuit Testing","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T14117","display_name":"Integrated Circuits and Semiconductor Failure Analysis","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T11522","display_name":"VLSI and FPGA Design Techniques","score":0.9937999844551086,"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/identification","display_name":"Identification (biology)","score":0.5711271166801453},{"id":"https://openalex.org/keywords/electronic-circuit","display_name":"Electronic circuit","score":0.562787652015686},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.5616269111633301},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5379766225814819},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5378085970878601},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.49529829621315},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4816083610057831},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.42289841175079346},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3280421793460846},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25516510009765625},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.25281578302383423},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24666059017181396},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1559019684791565},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.08207190036773682}],"concepts":[{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5711271166801453},{"id":"https://openalex.org/C134146338","wikidata":"https://www.wikidata.org/wiki/Q1815901","display_name":"Electronic circuit","level":2,"score":0.562787652015686},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.5616269111633301},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5379766225814819},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5378085970878601},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.49529829621315},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4816083610057831},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.42289841175079346},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3280421793460846},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25516510009765625},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.25281578302383423},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24666059017181396},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1559019684791565},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.08207190036773682},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/test.2008.4700595","is_oa":false,"landing_page_url":"https://doi.org/10.1109/test.2008.4700595","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Test Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.46000000834465027}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1864256460","https://openalex.org/W1951780703","https://openalex.org/W2009138312","https://openalex.org/W2021463588","https://openalex.org/W2095725913","https://openalex.org/W2099637476","https://openalex.org/W2118910735","https://openalex.org/W2122459133","https://openalex.org/W2142519941","https://openalex.org/W2152406824","https://openalex.org/W2152489029","https://openalex.org/W2587271961","https://openalex.org/W3141183454","https://openalex.org/W4246237793","https://openalex.org/W4246643819","https://openalex.org/W6682357834"],"related_works":["https://openalex.org/W2188500270","https://openalex.org/W2303858293","https://openalex.org/W4236696095","https://openalex.org/W3143779693","https://openalex.org/W2626808643","https://openalex.org/W2004064826","https://openalex.org/W2915512527","https://openalex.org/W51364034","https://openalex.org/W3103727510","https://openalex.org/W1494981348"],"abstract_inverted_index":{"A":[0],"multiple":[1],"defect":[2,8,16,22,39,154],"diagnosis":[3,34,60],"methodology":[4],"consisting":[5],"of":[6,32,58,69,98,100,116,121,148],"a":[7,14,21,92],"site":[9,17,23,127],"identification":[10],"and":[11,20,25,41,76,118,143],"elimination":[12,18],"method,":[13,19],"path-based":[15],"selection":[24],"ranking":[26],"method":[27,35,61,83,113],"is":[28,46],"described.":[29],"The":[30],"flexibility":[31],"the":[33,55,59,67,119],"in":[36],"handling":[37],"various":[38,101],"behaviors":[40],"arbitrary":[42],"failing":[43,78],"pattern":[44],"characteristics":[45],"demonstrated":[47],"through":[48],"extensive":[49],"simulations.":[50],"Unlike":[51],"some":[52],"competing":[53],"approaches,":[54],"search":[56],"space":[57],"does":[62],"not":[63],"grow":[64],"exponentially":[65],"with":[66,107],"number":[68,97,120],"defects.":[70],"Results":[71],"from":[72],"over":[73],"1700":[74],"simulated":[75],"131":[77],"ICs":[79],"show":[80],"that":[81,88],"this":[82],"can":[84],"effectively":[85],"diagnose":[86],"circuits":[87,106,133],"are":[89,152],"affected":[90,134],"by":[91,135],"large":[93],"(>20)":[94],"or":[95],"small":[96],"defects":[99],"types.":[102],"Specifically,":[103],"when":[104],"diagnosing":[105],"more":[108],"than":[109],"20":[110],"defects,":[111,137],"our":[112,149],"identifies":[114],"65%":[115],"them,":[117],"sites":[122,151],"reported":[123],"per":[124],"actual":[125,153],"defective":[126],"is,":[128],"on":[129],"average,":[130],"1.17.":[131],"For":[132],"two":[136],"these":[138],"numbers":[139],"change":[140],"to":[141],"86%":[142],"1.85,":[144],"respectively.":[145],"Finally,":[146],"84%":[147],"top-ranked":[150],"sites.":[155]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
