{"id":"https://openalex.org/W3167711563","doi":"https://doi.org/10.1109/vts50974.2021.9441003","title":"Memory-Efficient Adaptive Test Pattern Reordering for Accurate Diagnosis","display_name":"Memory-Efficient Adaptive Test Pattern Reordering for Accurate Diagnosis","publication_year":2021,"publication_date":"2021-04-25","ids":{"openalex":"https://openalex.org/W3167711563","doi":"https://doi.org/10.1109/vts50974.2021.9441003","mag":"3167711563"},"language":"en","primary_location":{"id":"doi:10.1109/vts50974.2021.9441003","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vts50974.2021.9441003","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 39th VLSI Test Symposium (VTS)","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/A5079176809","display_name":"Chenlei Fang","orcid":"https://orcid.org/0000-0002-0518-6348"},"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":"Chenlei Fang","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103119441","display_name":"Qicheng Huang","orcid":"https://orcid.org/0000-0003-2891-6662"},"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":"Qicheng Huang","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, 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. Shawn Blanton","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5079176809"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":0.2303,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.46418429,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11032","display_name":"VLSI and Analog Circuit Testing","score":0.9998999834060669,"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":0.9998999834060669,"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/T11522","display_name":"VLSI and FPGA Design Techniques","score":0.9983000159263611,"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/T10743","display_name":"Software Testing and Debugging Techniques","score":0.9958000183105469,"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":0.7445030808448792},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.5915004014968872},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.41367191076278687},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3597359359264374},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34458473324775696}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7445030808448792},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.5915004014968872},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.41367191076278687},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3597359359264374},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34458473324775696},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vts50974.2021.9441003","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vts50974.2021.9441003","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 39th VLSI Test Symposium (VTS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.47999998927116394,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1531696936","https://openalex.org/W1554885925","https://openalex.org/W1864256460","https://openalex.org/W1967318117","https://openalex.org/W1968659326","https://openalex.org/W2021463588","https://openalex.org/W2031335280","https://openalex.org/W2033291878","https://openalex.org/W2042281163","https://openalex.org/W2067067399","https://openalex.org/W2110325612","https://openalex.org/W2139038023","https://openalex.org/W2142551277","https://openalex.org/W2143990893","https://openalex.org/W2150593711","https://openalex.org/W2151443931","https://openalex.org/W2158703410","https://openalex.org/W2161229078","https://openalex.org/W2165162946","https://openalex.org/W2183098680","https://openalex.org/W2283559063","https://openalex.org/W2462887203","https://openalex.org/W2559909657","https://openalex.org/W2614304656","https://openalex.org/W2614330301","https://openalex.org/W2786425771","https://openalex.org/W2805583943","https://openalex.org/W2902756944","https://openalex.org/W2950332743","https://openalex.org/W3094264590","https://openalex.org/W4302458519","https://openalex.org/W6719005931","https://openalex.org/W6756535891"],"related_works":["https://openalex.org/W1604898313","https://openalex.org/W2117014006","https://openalex.org/W4233815414","https://openalex.org/W2372170743","https://openalex.org/W1491899005","https://openalex.org/W1558545464","https://openalex.org/W2172791042","https://openalex.org/W2074301136","https://openalex.org/W1502414128","https://openalex.org/W1984303163"],"abstract_inverted_index":{"Logic":[0],"diagnosis":[1,28],"is":[2,19,79],"a":[3,30,37,51,76],"software-based":[4],"methodology":[5],"to":[6,45,67,90,108,125],"identify":[7],"the":[8,56,84,102,105,111],"behavior":[9],"and":[10],"location":[11],"of":[12,33,58,104,122],"defects":[13],"in":[14,23,70,93,114],"failing":[15,34,127],"integrated":[16],"circuits,":[17],"which":[18,65],"an":[20],"essential":[21],"step":[22],"yield":[24],"learning.":[25],"Conventionally,":[26],"accurate":[27],"requires":[29],"sufficient":[31],"amount":[32],"data,":[35],"indicating":[36],"high":[38],"test":[39,71,85],"cost.":[40,72,95],"Prior":[41],"work":[42,116],"that":[43,88],"attempt":[44],"solve":[46],"this":[47,74,115],"problem":[48],"either":[49],"use":[50],"fixed":[52],"pattern":[53,86],"order,":[54],"ignoring":[55],"characteristics":[57],"each":[59],"chip,":[60],"or":[61],"require":[62],"significant":[63,91],"memory":[64,94],"leads":[66,89],"unacceptable":[68],"increases":[69],"In":[73],"work,":[75,110],"new":[77],"algorithm":[78,112],"described":[80,113],"for":[81],"dynamically":[82],"selecting":[83],"order":[87],"reduction":[92],"Experiments":[96],"using":[97],"two":[98],"industrial":[99],"chips":[100],"demonstrate":[101],"efficacy":[103],"approach.":[106],"Compared":[107],"prior":[109],"uses":[117],"as":[118,120],"little":[119],"1/500":[121],"tester":[123],"space":[124],"store":[126],"data.":[128]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
