{"id":"https://openalex.org/W1937808449","doi":"https://doi.org/10.1109/icst.2015.7102590","title":"Generating Succinct Test Cases Using Don't Care Analysis","display_name":"Generating Succinct Test Cases Using Don't Care Analysis","publication_year":2015,"publication_date":"2015-04-01","ids":{"openalex":"https://openalex.org/W1937808449","doi":"https://doi.org/10.1109/icst.2015.7102590","mag":"1937808449"},"language":"en","primary_location":{"id":"doi:10.1109/icst.2015.7102590","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icst.2015.7102590","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 8th International Conference on Software Testing, Verification and Validation (ICST)","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/A5100602096","display_name":"Cuong Duc Nguyen","orcid":"https://orcid.org/0000-0003-4176-1562"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Cuong Nguyen","raw_affiliation_strings":["Department of Computer Science, University of California, Berkeley, CA, USA","[Department of Computer Science, University of California Berkeley, Berkeley, CA, USA]"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of California, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]},{"raw_affiliation_string":"[Department of Computer Science, University of California Berkeley, Berkeley, CA, USA]","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073098982","display_name":"Hiroaki Yoshida","orcid":"https://orcid.org/0000-0002-5370-7451"},"institutions":[{"id":"https://openalex.org/I4210094759","display_name":"Fujitsu (United States)","ror":"https://ror.org/0073whr05","country_code":"US","type":"company","lineage":["https://openalex.org/I2252096349","https://openalex.org/I4210094759"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hiroaki Yoshida","raw_affiliation_strings":["Fujitsu Laboratories of America Inc, Sunnyvale, CA, USA","Fujitsu Laboratories of America Inc., Sunnyvale, CA, USA"],"affiliations":[{"raw_affiliation_string":"Fujitsu Laboratories of America Inc, Sunnyvale, CA, USA","institution_ids":["https://openalex.org/I4210094759"]},{"raw_affiliation_string":"Fujitsu Laboratories of America Inc., Sunnyvale, CA, USA","institution_ids":["https://openalex.org/I4210094759"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101870966","display_name":"Mukul R. Prasad","orcid":null},"institutions":[{"id":"https://openalex.org/I4210094759","display_name":"Fujitsu (United States)","ror":"https://ror.org/0073whr05","country_code":"US","type":"company","lineage":["https://openalex.org/I2252096349","https://openalex.org/I4210094759"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mukul Prasad","raw_affiliation_strings":["Fujitsu Laboratories of America Inc, Sunnyvale, CA, USA","Fujitsu Laboratories of America Inc., Sunnyvale, CA, USA"],"affiliations":[{"raw_affiliation_string":"Fujitsu Laboratories of America Inc, Sunnyvale, CA, USA","institution_ids":["https://openalex.org/I4210094759"]},{"raw_affiliation_string":"Fujitsu Laboratories of America Inc., Sunnyvale, CA, USA","institution_ids":["https://openalex.org/I4210094759"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102001964","display_name":"Indradeep Ghosh","orcid":"https://orcid.org/0000-0003-3146-4003"},"institutions":[{"id":"https://openalex.org/I4210094759","display_name":"Fujitsu (United States)","ror":"https://ror.org/0073whr05","country_code":"US","type":"company","lineage":["https://openalex.org/I2252096349","https://openalex.org/I4210094759"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Indradeep Ghosh","raw_affiliation_strings":["Fujitsu Laboratories of America Inc, Sunnyvale, CA, USA","Fujitsu Laboratories of America Inc., Sunnyvale, CA, USA"],"affiliations":[{"raw_affiliation_string":"Fujitsu Laboratories of America Inc, Sunnyvale, CA, USA","institution_ids":["https://openalex.org/I4210094759"]},{"raw_affiliation_string":"Fujitsu Laboratories of America Inc., Sunnyvale, CA, USA","institution_ids":["https://openalex.org/I4210094759"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101569699","display_name":"Koushik Sen","orcid":"https://orcid.org/0000-0002-4539-9188"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Koushik Sen","raw_affiliation_strings":["Department of Computer Science, University of California, Berkeley, CA, USA","[Department of Computer Science, University of California Berkeley, Berkeley, CA, USA]"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of California, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]},{"raw_affiliation_string":"[Department of Computer Science, University of California Berkeley, Berkeley, CA, USA]","institution_ids":["https://openalex.org/I95457486"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100602096"],"corresponding_institution_ids":["https://openalex.org/I95457486"],"apc_list":null,"apc_paid":null,"fwci":2.7653,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.89695701,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"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":1.0,"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":1.0,"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/T12423","display_name":"Software Reliability and Analysis Research","score":0.9984999895095825,"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/T10260","display_name":"Software Engineering Research","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.7696661949157715},{"id":"https://openalex.org/keywords/symbolic-execution","display_name":"Symbolic execution","score":0.7133734822273254},{"id":"https://openalex.org/keywords/test-suite","display_name":"Test suite","score":0.7064756751060486},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.6409898996353149},{"id":"https://openalex.org/keywords/test-case","display_name":"Test case","score":0.5759234428405762},{"id":"https://openalex.org/keywords/automatic-test-pattern-generation","display_name":"Automatic test pattern generation","score":0.5702259540557861},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5666338205337524},{"id":"https://openalex.org/keywords/test-management-approach","display_name":"Test Management Approach","score":0.5496469736099243},{"id":"https://openalex.org/keywords/code-coverage","display_name":"Code coverage","score":0.5367599129676819},{"id":"https://openalex.org/keywords/test-harness","display_name":"Test harness","score":0.496704638004303},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.49185776710510254},{"id":"https://openalex.org/keywords/debugging","display_name":"Debugging","score":0.48550844192504883},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.4819195568561554},{"id":"https://openalex.org/keywords/concolic-testing","display_name":"Concolic testing","score":0.4481927752494812},{"id":"https://openalex.org/keywords/solver","display_name":"Solver","score":0.43101203441619873},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3959563970565796},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.14957371354103088},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.12150362133979797},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.09778258204460144},{"id":"https://openalex.org/keywords/software-development","display_name":"Software development","score":0.09556421637535095}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7696661949157715},{"id":"https://openalex.org/C2779639559","wikidata":"https://www.wikidata.org/wiki/Q7661178","display_name":"Symbolic execution","level":3,"score":0.7133734822273254},{"id":"https://openalex.org/C151552104","wikidata":"https://www.wikidata.org/wiki/Q7705809","display_name":"Test suite","level":4,"score":0.7064756751060486},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.6409898996353149},{"id":"https://openalex.org/C128942645","wikidata":"https://www.wikidata.org/wiki/Q1568346","display_name":"Test case","level":3,"score":0.5759234428405762},{"id":"https://openalex.org/C17626397","wikidata":"https://www.wikidata.org/wiki/Q837455","display_name":"Automatic test pattern generation","level":3,"score":0.5702259540557861},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5666338205337524},{"id":"https://openalex.org/C7435765","wikidata":"https://www.wikidata.org/wiki/Q7705776","display_name":"Test Management Approach","level":5,"score":0.5496469736099243},{"id":"https://openalex.org/C53942775","wikidata":"https://www.wikidata.org/wiki/Q1211721","display_name":"Code coverage","level":3,"score":0.5367599129676819},{"id":"https://openalex.org/C109852812","wikidata":"https://www.wikidata.org/wiki/Q2406355","display_name":"Test harness","level":5,"score":0.496704638004303},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.49185776710510254},{"id":"https://openalex.org/C168065819","wikidata":"https://www.wikidata.org/wiki/Q845566","display_name":"Debugging","level":2,"score":0.48550844192504883},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.4819195568561554},{"id":"https://openalex.org/C11219265","wikidata":"https://www.wikidata.org/wiki/Q5158734","display_name":"Concolic testing","level":4,"score":0.4481927752494812},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.43101203441619873},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3959563970565796},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.14957371354103088},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.12150362133979797},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.09778258204460144},{"id":"https://openalex.org/C529173508","wikidata":"https://www.wikidata.org/wiki/Q638608","display_name":"Software development","level":3,"score":0.09556421637535095},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C186846655","wikidata":"https://www.wikidata.org/wiki/Q3398377","display_name":"Software construction","level":4,"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/C134146338","wikidata":"https://www.wikidata.org/wiki/Q1815901","display_name":"Electronic circuit","level":2,"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/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icst.2015.7102590","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icst.2015.7102590","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 8th International Conference on Software Testing, Verification and Validation (ICST)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.6200000047683716}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W52244296","https://openalex.org/W208073541","https://openalex.org/W1518705996","https://openalex.org/W1710734607","https://openalex.org/W1777881387","https://openalex.org/W1970005004","https://openalex.org/W2000414759","https://openalex.org/W2009489720","https://openalex.org/W2063516832","https://openalex.org/W2096449544","https://openalex.org/W2114345296","https://openalex.org/W2121217767","https://openalex.org/W2125596330","https://openalex.org/W2129487583","https://openalex.org/W2133612077","https://openalex.org/W2142785340","https://openalex.org/W2146950743","https://openalex.org/W2151226386","https://openalex.org/W2155877593","https://openalex.org/W2159899121","https://openalex.org/W2163499368","https://openalex.org/W2170224888","https://openalex.org/W4237492309","https://openalex.org/W4240738830","https://openalex.org/W4246385123","https://openalex.org/W6630973549","https://openalex.org/W6637688222","https://openalex.org/W6678827102"],"related_works":["https://openalex.org/W49527103","https://openalex.org/W2020667931","https://openalex.org/W2294472655","https://openalex.org/W2893175923","https://openalex.org/W51612467","https://openalex.org/W2440985157","https://openalex.org/W223068689","https://openalex.org/W2364496964","https://openalex.org/W3015365135","https://openalex.org/W2957461725"],"abstract_inverted_index":{"We":[0,43,56,145],"study":[1],"the":[2,63,89,94,110,113,129,136,153,171,180,185,201,209],"problem":[3],"of":[4,112,138],"reducing":[5],"test":[6,15,24,46,65,90,139,148,155,173,181,187,202,211],"cases":[7,47,66,91,140,174,182],"generated":[8,48,64,141,183],"by":[9,49,184],"bit":[10],"vector":[11],"based":[12,101],"symbolic":[13,34,143],"execution":[14],"generators.":[16],"In":[17,190],"particular,":[18],"we":[19],"first":[20,130],"consider":[21],"a":[22,59,70],"guileless":[23,186],"case":[25,149,188,203],"generation":[26,156,204,212],"approach":[27,51,133],"that":[28,45,83,134],"generates":[29],"assignment":[30,81],"statements":[31,82],"for":[32,61,152],"each":[33],"scalars,":[35],"array":[36],"and":[37,40,104,120,158,163],"structure":[38],"elements":[39],"object":[41],"fields.":[42],"show":[44],"this":[50,127],"can":[52,84],"be":[53,85],"significantly":[54],"verbose.":[55],"then":[57],"propose":[58],"method":[60],"making":[62],"more":[67],"succinct":[68],"using":[69,142],"novel":[71],"analysis":[72,79,196],"entitled":[73],"don't":[74,194],"care":[75,78,195],"analysis.":[76],"Don't":[77],"identifies":[80],"safely":[86],"removed":[87],"from":[88],"without":[92],"affecting":[93],"overall":[95,210],"code":[96],"coverage.":[97],"Our":[98,165],"algorithm":[99],"is":[100,118,128,197,214],"on":[102,160],"binary":[103],"delta-debugging":[105],"search.":[106],"Because":[107],"it":[108,117],"exploits":[109],"knowledge":[111],"internal":[114],"SAT":[115],"solver,":[116],"effective":[119],"efficient":[121],"in":[122,169],"practice.":[123],"To":[124],"our":[125,147,193],"knowledge,":[126],"fully":[131],"automatic":[132],"reduces":[135],"sizes":[137],"execution.":[144],"implement":[146],"reduction":[150],"technique":[151],"KLEE":[154],"tool":[157],"evaluate":[159],"295":[161],"programs":[162],"functions.":[164],"results":[166],"are":[167,175],"encouraging:":[168],"average,":[170],"reduced":[172],"50":[176],"times":[177],"smaller":[178],"than":[179],"generator.":[189],"addition,":[191],"since":[192],"tightly":[198],"integrated":[199],"into":[200],"tool,":[205],"its":[206],"overhead":[207],"to":[208],"process":[213],"negligible.":[215]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
