{"id":"https://openalex.org/W2147916294","doi":"https://doi.org/10.1145/1629911.1630098","title":"Adaptive test elimination for analog/RF circuits","display_name":"Adaptive test elimination for analog/RF circuits","publication_year":2009,"publication_date":"2009-07-26","ids":{"openalex":"https://openalex.org/W2147916294","doi":"https://doi.org/10.1145/1629911.1630098","mag":"2147916294"},"language":"en","primary_location":{"id":"doi:10.1145/1629911.1630098","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1629911.1630098","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 46th Annual Design Automation 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/A5108524932","display_name":"Ender Y\u0131lmaz","orcid":"https://orcid.org/0009-0004-0254-5845"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ender Yilmaz","raw_affiliation_strings":["Arizona State University, Tempe, AZ"],"affiliations":[{"raw_affiliation_string":"Arizona State University, Tempe, AZ","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058946013","display_name":"Sule Ozev","orcid":"https://orcid.org/0000-0002-3636-715X"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sule Ozev","raw_affiliation_strings":["Arizona State University, Tempe, AZ"],"affiliations":[{"raw_affiliation_string":"Arizona State University, Tempe, AZ","institution_ids":["https://openalex.org/I55732556"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5108524932"],"corresponding_institution_ids":["https://openalex.org/I55732556"],"apc_list":null,"apc_paid":null,"fwci":2.6382,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.90823878,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"720","last_page":"725"},"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/T11522","display_name":"VLSI and FPGA Design Techniques","score":0.9940000176429749,"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/T11338","display_name":"Advancements in Photolithography Techniques","score":0.986299991607666,"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/automatic-test-pattern-generation","display_name":"Automatic test pattern generation","score":0.7475481033325195},{"id":"https://openalex.org/keywords/test-compression","display_name":"Test compression","score":0.7210209369659424},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.706255316734314},{"id":"https://openalex.org/keywords/computerized-adaptive-testing","display_name":"Computerized adaptive testing","score":0.6503559947013855},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.6283278465270996},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.6016815304756165},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.5823609232902527},{"id":"https://openalex.org/keywords/dropout","display_name":"Dropout (neural networks)","score":0.5217776894569397},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5151928067207336},{"id":"https://openalex.org/keywords/analogue-electronics","display_name":"Analogue electronics","score":0.4592457115650177},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.42359888553619385},{"id":"https://openalex.org/keywords/electronic-circuit","display_name":"Electronic circuit","score":0.42284324765205383},{"id":"https://openalex.org/keywords/mixed-signal-integrated-circuit","display_name":"Mixed-signal integrated circuit","score":0.4218011498451233},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.3587265610694885},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32269105315208435},{"id":"https://openalex.org/keywords/integrated-circuit","display_name":"Integrated circuit","score":0.2798483073711395},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18095263838768005},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17098569869995117},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.16460299491882324},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13489887118339539},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11334234476089478},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.0790124237537384}],"concepts":[{"id":"https://openalex.org/C17626397","wikidata":"https://www.wikidata.org/wiki/Q837455","display_name":"Automatic test pattern generation","level":3,"score":0.7475481033325195},{"id":"https://openalex.org/C29652920","wikidata":"https://www.wikidata.org/wiki/Q7705757","display_name":"Test compression","level":4,"score":0.7210209369659424},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.706255316734314},{"id":"https://openalex.org/C144352353","wikidata":"https://www.wikidata.org/wiki/Q2920411","display_name":"Computerized adaptive testing","level":3,"score":0.6503559947013855},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.6283278465270996},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.6016815304756165},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.5823609232902527},{"id":"https://openalex.org/C2776145597","wikidata":"https://www.wikidata.org/wiki/Q25339462","display_name":"Dropout (neural networks)","level":2,"score":0.5217776894569397},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5151928067207336},{"id":"https://openalex.org/C29074008","wikidata":"https://www.wikidata.org/wiki/Q174925","display_name":"Analogue electronics","level":3,"score":0.4592457115650177},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.42359888553619385},{"id":"https://openalex.org/C134146338","wikidata":"https://www.wikidata.org/wiki/Q1815901","display_name":"Electronic circuit","level":2,"score":0.42284324765205383},{"id":"https://openalex.org/C62907940","wikidata":"https://www.wikidata.org/wiki/Q1541329","display_name":"Mixed-signal integrated circuit","level":3,"score":0.4218011498451233},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.3587265610694885},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32269105315208435},{"id":"https://openalex.org/C530198007","wikidata":"https://www.wikidata.org/wiki/Q80831","display_name":"Integrated circuit","level":2,"score":0.2798483073711395},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18095263838768005},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17098569869995117},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.16460299491882324},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13489887118339539},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11334234476089478},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0790124237537384},{"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/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/C171606756","wikidata":"https://www.wikidata.org/wiki/Q506132","display_name":"Psychometrics","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1629911.1630098","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1629911.1630098","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 46th Annual Design Automation Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2780924870","display_name":null,"funder_award_id":"1836.012","funder_id":"https://openalex.org/F4320306087","funder_display_name":"Semiconductor Research Corporation"},{"id":"https://openalex.org/G3942705500","display_name":null,"funder_award_id":"917766","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306087","display_name":"Semiconductor Research Corporation","ror":"https://ror.org/047z4n946"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1686846969","https://openalex.org/W1723333647","https://openalex.org/W1911475913","https://openalex.org/W1988192422","https://openalex.org/W2024465941","https://openalex.org/W2104972179","https://openalex.org/W2105583569","https://openalex.org/W2116555368","https://openalex.org/W2131610230","https://openalex.org/W2136007135","https://openalex.org/W2139497890","https://openalex.org/W2156227942","https://openalex.org/W2161332022","https://openalex.org/W2171440868","https://openalex.org/W2752885492","https://openalex.org/W2950090773","https://openalex.org/W3145128584","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W4285708951","https://openalex.org/W2147986372","https://openalex.org/W2786111245","https://openalex.org/W1979305473","https://openalex.org/W3009953521","https://openalex.org/W4234763172","https://openalex.org/W2992024382","https://openalex.org/W1950483953","https://openalex.org/W2110962837","https://openalex.org/W4235748303"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4,68],"an":[5,109],"adaptive":[6],"test":[7,12,28,59,105,115,121,125,131],"strategy":[8],"that":[9,82],"tailors":[10],"the":[11,17,27,32,39,45,52,58,71,75,93,119,129],"sequence":[13],"with":[14,101],"respect":[15],"to":[16,69,85],"properties":[18],"of":[19,23,74],"each":[20],"individual":[21],"instance":[22],"a":[24],"circuit.":[25],"Reducing":[26],"set":[29,60],"by":[30],"analyzing":[31],"dropout":[33],"patterns":[34],"during":[35],"characterization":[36],"and":[37,78,112],"eliminating":[38],"unnecessary":[40,87],"tests":[41,81],"has":[42],"always":[43],"been":[44],"approach":[46],"for":[47,64,108,118,128],"high":[48],"volume":[49],"production":[50],"in":[51],"analog":[53],"domain.":[54],"However,":[55],"once":[56],"determined,":[57],"remains":[61],"typically":[62],"fixed":[63],"all":[65],"devices.":[66],"We":[67,97],"exploit":[70],"statistical":[72],"diversity":[73],"manufactured":[76],"devices":[77],"adaptively":[79],"eliminate":[80],"are":[83],"determined":[84],"be":[86],"based":[88],"on":[89,92],"information":[90],"obtained":[91],"circuit":[94,111],"under":[95],"test.":[96],"compare":[98],"our":[99],"results":[100],"other":[102],"similar":[103],"specification-based":[104],"reduction":[106,127],"techniques":[107],"LNA":[110],"observe":[113],"90%":[114],"quality":[116],"improvement":[117],"same":[120,130],"time":[122,126],"or":[123],"24%":[124],"quality.":[132]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
