{"id":"https://openalex.org/W2782519681","doi":"https://doi.org/10.1109/test.2017.8242049","title":"Test reordering for improved scan chain diagnosis using an enhanced defect diagnosis procedure","display_name":"Test reordering for improved scan chain diagnosis using an enhanced defect diagnosis procedure","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2782519681","doi":"https://doi.org/10.1109/test.2017.8242049","mag":"2782519681"},"language":"en","primary_location":{"id":"doi:10.1109/test.2017.8242049","is_oa":false,"landing_page_url":"https://doi.org/10.1109/test.2017.8242049","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Test Conference (ITC)","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/A5100896813","display_name":"Srikanth Venkataraman","orcid":null},"institutions":[{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Srikanth Venkataraman","raw_affiliation_strings":["Intel Corporation, Hillsboro, Oregon"],"affiliations":[{"raw_affiliation_string":"Intel Corporation, Hillsboro, Oregon","institution_ids":["https://openalex.org/I1343180700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032651920","display_name":"Irith Pomeranz","orcid":"https://orcid.org/0000-0002-5491-7282"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Irith Pomeranz","raw_affiliation_strings":["School of Electrical and Computer Engineering, Purdue University, Indiana"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Purdue University, Indiana","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001421612","display_name":"Shraddha Bodhe","orcid":"https://orcid.org/0000-0003-3808-2796"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shraddha Bodhe","raw_affiliation_strings":["School of Electrical and Computer Engineering, Purdue University, Indiana"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Purdue University, Indiana","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038248556","display_name":"M. Enamul Amyeen","orcid":null},"institutions":[{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M. Enamul Amyeen","raw_affiliation_strings":["Intel Corporation, Hillsboro, Oregon"],"affiliations":[{"raw_affiliation_string":"Intel Corporation, Hillsboro, Oregon","institution_ids":["https://openalex.org/I1343180700"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100896813"],"corresponding_institution_ids":["https://openalex.org/I1343180700"],"apc_list":null,"apc_paid":null,"fwci":0.6759,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.71067984,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"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":1.0,"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/T10472","display_name":"Semiconductor materials and devices","score":0.9954000115394592,"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/scan-chain","display_name":"Scan chain","score":0.9127297401428223},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7304915189743042},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6305205225944519},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5387891530990601},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5299018025398254},{"id":"https://openalex.org/keywords/automatic-test-pattern-generation","display_name":"Automatic test pattern generation","score":0.48243698477745056},{"id":"https://openalex.org/keywords/test-data","display_name":"Test data","score":0.482231467962265},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.442394882440567},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.4388812482357025},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.43341439962387085},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.4260627031326294},{"id":"https://openalex.org/keywords/chain","display_name":"Chain (unit)","score":0.4119374752044678},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34715574979782104},{"id":"https://openalex.org/keywords/electronic-circuit","display_name":"Electronic circuit","score":0.3163096606731415},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21019229292869568},{"id":"https://openalex.org/keywords/integrated-circuit","display_name":"Integrated circuit","score":0.1436629295349121},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11185729503631592}],"concepts":[{"id":"https://openalex.org/C150012182","wikidata":"https://www.wikidata.org/wiki/Q225990","display_name":"Scan chain","level":3,"score":0.9127297401428223},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7304915189743042},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6305205225944519},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5387891530990601},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5299018025398254},{"id":"https://openalex.org/C17626397","wikidata":"https://www.wikidata.org/wiki/Q837455","display_name":"Automatic test pattern generation","level":3,"score":0.48243698477745056},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.482231467962265},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.442394882440567},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.4388812482357025},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.43341439962387085},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.4260627031326294},{"id":"https://openalex.org/C199185054","wikidata":"https://www.wikidata.org/wiki/Q552299","display_name":"Chain (unit)","level":2,"score":0.4119374752044678},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34715574979782104},{"id":"https://openalex.org/C134146338","wikidata":"https://www.wikidata.org/wiki/Q1815901","display_name":"Electronic circuit","level":2,"score":0.3163096606731415},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21019229292869568},{"id":"https://openalex.org/C530198007","wikidata":"https://www.wikidata.org/wiki/Q80831","display_name":"Integrated circuit","level":2,"score":0.1436629295349121},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11185729503631592},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/test.2017.8242049","is_oa":false,"landing_page_url":"https://doi.org/10.1109/test.2017.8242049","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Test Conference (ITC)","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/W1487528602","https://openalex.org/W1537503911","https://openalex.org/W2009698782","https://openalex.org/W2016711808","https://openalex.org/W2031335280","https://openalex.org/W2037589385","https://openalex.org/W2111599933","https://openalex.org/W2111702018","https://openalex.org/W2112723826","https://openalex.org/W2117889864","https://openalex.org/W2123072391","https://openalex.org/W2138735239","https://openalex.org/W2144727130","https://openalex.org/W2151443931","https://openalex.org/W2153923571","https://openalex.org/W2160713416","https://openalex.org/W2161229078","https://openalex.org/W2171484465","https://openalex.org/W2408450234","https://openalex.org/W2559909657","https://openalex.org/W2564872756","https://openalex.org/W6678015086","https://openalex.org/W6683494264"],"related_works":["https://openalex.org/W1974621628","https://openalex.org/W2118952760","https://openalex.org/W2075356617","https://openalex.org/W2274367941","https://openalex.org/W2390529848","https://openalex.org/W2408214455","https://openalex.org/W2134369540","https://openalex.org/W2035832568","https://openalex.org/W2187490799","https://openalex.org/W2363004085"],"abstract_inverted_index":{"A":[0],"test":[1,63],"reordering":[2,101],"algorithm":[3],"is":[4,21,121],"presented":[5],"to":[6,40],"improve":[7],"the":[8,24,41,62,67,90,108,124],"results":[9,84],"of":[10,18,54,77,92,110,118],"scan":[11,45,96,111],"chain":[12,97,112],"diagnosis":[13,38,53,76,113],"when":[14,114],"a":[15,115],"limited":[16,116],"amount":[17,117],"fail":[19,119],"data":[20,120],"collected":[22,85,122],"by":[23,33,123],"tester.":[25,125],"Tests":[26,47],"are":[27,49,58],"reordered":[28],"based":[29,65,103],"on":[30,66,104],"information":[31,106],"derived":[32],"applying":[34],"an":[35],"enhanced":[36],"defect":[37],"procedure":[39],"faulty":[42,56,79],"units":[43,57,80],"with":[44],"defects.":[46],"that":[48,69,100],"found":[50],"important":[51],"for":[52,75,86],"more":[55],"placed":[59],"earlier":[60],"in":[61,89],"set":[64],"expectation":[68],"these":[70],"tests":[71,102],"will":[72],"be":[73],"useful":[74],"other":[78],"as":[81],"well.":[82],"Experimental":[83],"benchmark":[87],"circuits":[88],"presence":[91],"single":[93],"and":[94],"multiple":[95],"defects":[98],"indicate":[99],"diagnostic":[105],"improves":[107],"quality":[109]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
