{"id":"https://openalex.org/W2736817226","doi":"https://doi.org/10.1109/test.2017.8242038","title":"RTL functional test generation using factored concolic execution","display_name":"RTL functional test generation using factored concolic execution","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2736817226","doi":"https://doi.org/10.1109/test.2017.8242038","mag":"2736817226"},"language":"en","primary_location":{"id":"doi:10.1109/test.2017.8242038","is_oa":false,"landing_page_url":"https://doi.org/10.1109/test.2017.8242038","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":true,"oa_status":"green","oa_url":"https://vtechworks.lib.vt.edu/bitstreams/5ad39669-562a-4e4d-864f-b7e6b2b8e3e4/download","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054674522","display_name":"Sonal Pinto","orcid":null},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sonal Pinto","raw_affiliation_strings":["Bradley Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, Blacksburg, Virginia"],"affiliations":[{"raw_affiliation_string":"Bradley Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, Blacksburg, Virginia","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108516165","display_name":"Michael S. Hsiao","orcid":null},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael S. Hsiao","raw_affiliation_strings":["Bradley Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, Blacksburg, Virginia"],"affiliations":[{"raw_affiliation_string":"Bradley Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, Blacksburg, Virginia","institution_ids":["https://openalex.org/I859038795"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5054674522"],"corresponding_institution_ids":["https://openalex.org/I859038795"],"apc_list":null,"apc_paid":null,"fwci":0.704,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.73103723,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10743","display_name":"Software Testing and Debugging Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10743","display_name":"Software Testing and Debugging Techniques","score":0.9998999834060669,"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"}},{"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/T11005","display_name":"Radiation Effects in Electronics","score":0.9980000257492065,"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/concolic-testing","display_name":"Concolic testing","score":0.847172737121582},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7880979776382446},{"id":"https://openalex.org/keywords/control-flow","display_name":"Control flow","score":0.612216591835022},{"id":"https://openalex.org/keywords/control-flow-graph","display_name":"Control flow graph","score":0.5798137784004211},{"id":"https://openalex.org/keywords/trace","display_name":"TRACE (psycholinguistics)","score":0.5591931939125061},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.525210440158844},{"id":"https://openalex.org/keywords/symbolic-execution","display_name":"Symbolic execution","score":0.5231077671051025},{"id":"https://openalex.org/keywords/code-coverage","display_name":"Code coverage","score":0.4718732237815857},{"id":"https://openalex.org/keywords/test-case","display_name":"Test case","score":0.449008971452713},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4186771810054779},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.4024549722671509},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.397434264421463},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3425575792789459},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.12593019008636475},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.09682473540306091},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09604421257972717}],"concepts":[{"id":"https://openalex.org/C11219265","wikidata":"https://www.wikidata.org/wiki/Q5158734","display_name":"Concolic testing","level":4,"score":0.847172737121582},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7880979776382446},{"id":"https://openalex.org/C160191386","wikidata":"https://www.wikidata.org/wiki/Q868299","display_name":"Control flow","level":2,"score":0.612216591835022},{"id":"https://openalex.org/C27458966","wikidata":"https://www.wikidata.org/wiki/Q1187693","display_name":"Control flow graph","level":2,"score":0.5798137784004211},{"id":"https://openalex.org/C75291252","wikidata":"https://www.wikidata.org/wiki/Q1315756","display_name":"TRACE (psycholinguistics)","level":2,"score":0.5591931939125061},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.525210440158844},{"id":"https://openalex.org/C2779639559","wikidata":"https://www.wikidata.org/wiki/Q7661178","display_name":"Symbolic execution","level":3,"score":0.5231077671051025},{"id":"https://openalex.org/C53942775","wikidata":"https://www.wikidata.org/wiki/Q1211721","display_name":"Code coverage","level":3,"score":0.4718732237815857},{"id":"https://openalex.org/C128942645","wikidata":"https://www.wikidata.org/wiki/Q1568346","display_name":"Test case","level":3,"score":0.449008971452713},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4186771810054779},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.4024549722671509},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.397434264421463},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3425575792789459},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.12593019008636475},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.09682473540306091},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09604421257972717},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/test.2017.8242038","is_oa":false,"landing_page_url":"https://doi.org/10.1109/test.2017.8242038","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"},{"id":"pmh:oai:vtechworks.lib.vt.edu:10919/78397","is_oa":true,"landing_page_url":"http://hdl.handle.net/10919/78397","pdf_url":"https://vtechworks.lib.vt.edu/bitstreams/5ad39669-562a-4e4d-864f-b7e6b2b8e3e4/download","source":{"id":"https://openalex.org/S4306400248","display_name":"VTechWorks (Virginia Tech)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I859038795","host_organization_name":"Virginia Tech","host_organization_lineage":["https://openalex.org/I859038795"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Thesis"}],"best_oa_location":{"id":"pmh:oai:vtechworks.lib.vt.edu:10919/78397","is_oa":true,"landing_page_url":"http://hdl.handle.net/10919/78397","pdf_url":"https://vtechworks.lib.vt.edu/bitstreams/5ad39669-562a-4e4d-864f-b7e6b2b8e3e4/download","source":{"id":"https://openalex.org/S4306400248","display_name":"VTechWorks (Virginia Tech)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I859038795","host_organization_name":"Virginia Tech","host_organization_lineage":["https://openalex.org/I859038795"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Thesis"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.6200000047683716}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2736817226.pdf","grobid_xml":"https://content.openalex.org/works/W2736817226.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W127224647","https://openalex.org/W1492234545","https://openalex.org/W1537124481","https://openalex.org/W1710734607","https://openalex.org/W2009489720","https://openalex.org/W2023730632","https://openalex.org/W2079893838","https://openalex.org/W2096449544","https://openalex.org/W2102691476","https://openalex.org/W2111979321","https://openalex.org/W2119441703","https://openalex.org/W2124618076","https://openalex.org/W2127637733","https://openalex.org/W2135931142","https://openalex.org/W2153604137","https://openalex.org/W2400905709","https://openalex.org/W4230587734","https://openalex.org/W4237492309","https://openalex.org/W6676590341"],"related_works":["https://openalex.org/W49527103","https://openalex.org/W2020667931","https://openalex.org/W2294472655","https://openalex.org/W2440985157","https://openalex.org/W2893175923","https://openalex.org/W223068689","https://openalex.org/W1968929858","https://openalex.org/W51612467","https://openalex.org/W2274607126","https://openalex.org/W2056183852"],"abstract_inverted_index":{"In":[0],"this":[1,99,121],"paper,":[2],"we":[3,74,194],"present":[4],"CORT,":[5],"a":[6,51,129,134,151],"factored":[7],"concolic":[8],"execution":[9,84],"based":[10,208],"methodology":[11],"for":[12,47,60,137,172],"high-level":[13],"functional":[14,55,170],"test":[15,18,139],"generation.":[16],"Our":[17],"generation":[19,140],"effort":[20],"is":[21,58,101,164],"visualized":[22],"as":[23,128],"the":[24,28,32,41,48,68,82,88,94,108,112,125,138,183],"systematic":[25],"unraveling":[26],"of":[27,31,93,98,111,186,197],"control-flow":[29,126],"response":[30,127],"design":[33,49,69],"over":[34,81],"multiple":[35],"explorations.":[36],"We":[37,123],"begin":[38,144],"by":[39,66,114],"transforming":[40],"Register":[42],"Transfer":[43],"Level":[44],"(RTL)":[45],"source":[46],"into":[50],"high-performance":[52],"C++":[53],"compiled":[54],"simulator":[56],"which":[57,155],"instrumented":[59],"branch":[61,180],"coverage.":[62],"An":[63],"exploration":[64,163],"begins":[65],"simulating":[67],"with":[70],"concrete":[71,83,204],"stimuli.":[72],"Then,":[73],"perform":[75],"an":[76,162],"interleaved":[77],"cycle-by-cycle":[78],"symbolic":[79,206],"evaluation":[80],"trace":[85],"extracted":[86],"from":[87,150,161],"Control":[89],"Flow":[90],"Graph":[91],"(CFG)":[92],"design.":[95],"The":[96],"purpose":[97],"task":[100],"to":[102,106,201],"dynamically":[103],"discover":[104],"means":[105],"divert":[107],"control":[109,118],"flow":[110],"system,":[113],"mutating":[115],"primary-input":[116],"stimulated":[117],"statements":[119],"in":[120],"trace.":[122],"record":[124],"Test":[130],"Decision":[131],"Tree":[132],"(TDT),":[133],"novel":[135],"representation":[136],"effort.":[141],"Successive":[142],"explorations":[143],"at":[145,168],"system":[146],"states":[147],"heuristically":[148],"selected":[149],"global":[152],"TDT,":[153],"onto":[154],"each":[156],"new":[157],"decision":[158],"tree":[159],"resultant":[160],"stitched.":[165],"CORT":[166],"succeeds":[167],"constructing":[169],"tests":[171],"ITC99":[173],"and":[174,205],"IWLS-2005":[175],"benchmarks":[176],"that":[177],"achieve":[178,195],"high":[179],"coverage":[181],"using":[182],"fewest":[184],"number":[185],"input":[187],"vectors,":[188],"faster":[189],"than":[190],"existing":[191],"methods.":[192],"Furthermore,":[193],"orders":[196],"magnitude":[198],"speedup":[199],"compared":[200],"previous":[202],"hybrid":[203],"simulation":[207],"techniques.":[209]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
