{"id":"https://openalex.org/W2078723770","doi":"https://doi.org/10.1109/tcad.2012.2190067","title":"Testability-Driven Statistical Path Selection","display_name":"Testability-Driven Statistical Path Selection","publication_year":2012,"publication_date":"2012-07-13","ids":{"openalex":"https://openalex.org/W2078723770","doi":"https://doi.org/10.1109/tcad.2012.2190067","mag":"2078723770"},"language":"en","primary_location":{"id":"doi:10.1109/tcad.2012.2190067","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcad.2012.2190067","pdf_url":null,"source":{"id":"https://openalex.org/S100835903","display_name":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems","issn_l":"0278-0070","issn":["0278-0070","1937-4151"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems","raw_type":"journal-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/A5006563419","display_name":"Jaeyong Chung","orcid":"https://orcid.org/0000-0001-5819-1995"},"institutions":[{"id":"https://openalex.org/I4210088951","display_name":"Synopsys (United States)","ror":"https://ror.org/013by2m91","country_code":"US","type":"company","lineage":["https://openalex.org/I4210088951"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jaeyong Chung","raw_affiliation_strings":["Synopsys, Inc., Mountain View, CA, USA"],"affiliations":[{"raw_affiliation_string":"Synopsys, Inc., Mountain View, CA, USA","institution_ids":["https://openalex.org/I4210088951"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030156276","display_name":"Jinjun Xiong","orcid":"https://orcid.org/0000-0002-2620-4859"},"institutions":[{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jinjun Xiong","raw_affiliation_strings":["IBM Thomas J. Watson Research Center, Yorktown Heights, NY, USA"],"affiliations":[{"raw_affiliation_string":"IBM Thomas J. Watson Research Center, Yorktown Heights, NY, USA","institution_ids":["https://openalex.org/I4210114115"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005648967","display_name":"Vladimir Zolotov","orcid":"https://orcid.org/0000-0002-3971-1163"},"institutions":[{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vladimir Zolotov","raw_affiliation_strings":["IBM Thomas J. Watson Research Center, Yorktown Heights, NY, USA"],"affiliations":[{"raw_affiliation_string":"IBM Thomas J. Watson Research Center, Yorktown Heights, NY, USA","institution_ids":["https://openalex.org/I4210114115"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068070739","display_name":"Jacob A. Abraham","orcid":"https://orcid.org/0000-0002-5336-5631"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jacob A. Abraham","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Texas, Austin, TX, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Texas, Austin, TX, USA","institution_ids":["https://openalex.org/I86519309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5006563419"],"corresponding_institution_ids":["https://openalex.org/I4210088951"],"apc_list":null,"apc_paid":null,"fwci":3.4807,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.92692524,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"31","issue":"8","first_page":"1275","last_page":"1287"},"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/T10142","display_name":"Formal Methods in Verification","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11005","display_name":"Radiation Effects in Electronics","score":0.9965999722480774,"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/testability","display_name":"Testability","score":0.7875847220420837},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.7360581755638123},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7125688791275024},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.6984656453132629},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.6780480146408081},{"id":"https://openalex.org/keywords/solver","display_name":"Solver","score":0.609304666519165},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5875775218009949},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4428520202636719},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.28194206953048706},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24191293120384216},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.167344868183136},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10621488094329834}],"concepts":[{"id":"https://openalex.org/C51234621","wikidata":"https://www.wikidata.org/wiki/Q2149495","display_name":"Testability","level":2,"score":0.7875847220420837},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.7360581755638123},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7125688791275024},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.6984656453132629},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.6780480146408081},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.609304666519165},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5875775218009949},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4428520202636719},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.28194206953048706},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24191293120384216},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.167344868183136},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10621488094329834},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcad.2012.2190067","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcad.2012.2190067","pdf_url":null,"source":{"id":"https://openalex.org/S100835903","display_name":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems","issn_l":"0278-0070","issn":["0278-0070","1937-4151"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1497632410","https://openalex.org/W1518705996","https://openalex.org/W1966741973","https://openalex.org/W1994293072","https://openalex.org/W1996808256","https://openalex.org/W2065940067","https://openalex.org/W2067549952","https://openalex.org/W2095765930","https://openalex.org/W2095804030","https://openalex.org/W2100196964","https://openalex.org/W2110134350","https://openalex.org/W2111911689","https://openalex.org/W2115483211","https://openalex.org/W2125930326","https://openalex.org/W2126324865","https://openalex.org/W2126564504","https://openalex.org/W2127513491","https://openalex.org/W2129718992","https://openalex.org/W2133527541","https://openalex.org/W2135802341","https://openalex.org/W2137012712","https://openalex.org/W2147964671","https://openalex.org/W2155151982","https://openalex.org/W2158750015","https://openalex.org/W2159006760","https://openalex.org/W2162484339","https://openalex.org/W2163262735","https://openalex.org/W2169629243","https://openalex.org/W3152387086","https://openalex.org/W4235221304","https://openalex.org/W4237955880","https://openalex.org/W4245630182","https://openalex.org/W4246922879","https://openalex.org/W6675016677","https://openalex.org/W6679878532","https://openalex.org/W6682701516"],"related_works":["https://openalex.org/W1967627035","https://openalex.org/W1506942559","https://openalex.org/W2051711022","https://openalex.org/W1589376391","https://openalex.org/W4205270981","https://openalex.org/W138634089","https://openalex.org/W2078723770","https://openalex.org/W2270806693","https://openalex.org/W2356567870","https://openalex.org/W2353623592"],"abstract_inverted_index":{"In":[0,29],"the":[1,14,33,49,64,68,78,89,109,118,135,163],"face":[2],"of":[3,24,35,70,121,134,170],"large-scale":[4],"process":[5],"variations,":[6],"statistical":[7,19,57,103,181],"timing":[8],"methodology":[9],"has":[10],"advanced":[11],"significantly":[12],"over":[13],"last":[15],"few":[16],"years,":[17],"and":[18,38,98,174],"path":[20,31,36,58,104,150,182],"selection":[21,37,105,183],"takes":[22],"advantage":[23],"it":[25],"in":[26,56,88,112],"at-speed":[27],"testing.":[28],"deterministic":[30],"selection,":[32,59],"separation":[34],"test":[39,186],"generation":[40],"is":[41,61,145],"known":[42],"to":[43,176,180],"require":[44],"time":[45],"consuming":[46],"iteration":[47],"between":[48],"two":[50],"processes.":[51],"This":[52],"paper":[53],"shows":[54],"that":[55,116,162],"this":[60,83,99,139],"not":[62],"only":[63],"case,":[65],"but":[66],"also":[67],"quality":[69,169],"results":[71,160,171],"can":[72],"be":[73],"severely":[74],"degraded":[75],"even":[76],"after":[77],"iteration.":[79],"To":[80],"deal":[81],"with":[82],"issue,":[84],"we":[85],"consider":[86],"testability":[87],"first":[90],"place":[91],"by":[92,185],"integrating":[93],"a":[94,101,113,148],"satisfiability":[95],"(SAT)":[96],"solver,":[97],"necessitates":[100],"new":[102],"method.":[106],"We":[107],"integrate":[108],"SAT":[110,123,136],"solver":[111,137],"novel":[114],"way":[115],"leverages":[117],"conflict":[119],"analysis":[120],"modern":[122],"solvers,":[124],"which":[125],"provides":[126],"more":[127],"than":[128],"4X":[129],"speedup":[130,178],"without":[131],"special":[132],"optimizations":[133],"for":[138],"particular":[140],"application.":[141],"Our":[142,158],"proposed":[143,164],"method":[144,165],"based":[146],"on":[147,172],"generalized":[149],"criticality":[151],"metric":[152],"whose":[153],"properties":[154],"allow":[155],"efficient":[156],"pruning.":[157],"experimental":[159],"show":[161],"achieves":[166],"47%":[167],"better":[168],"average,":[173],"up":[175],"361X":[177],"compared":[179],"followed":[184],"generation.":[187]},"counts_by_year":[{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
