{"id":"https://openalex.org/W2921708801","doi":"https://doi.org/10.48550/arxiv.1803.06516","title":"Presentation Proposal: Towards Efficient Data-flow Test Data Generation Using KLEE","display_name":"Presentation Proposal: Towards Efficient Data-flow Test Data Generation Using KLEE","publication_year":2018,"publication_date":"2018-03-17","ids":{"openalex":"https://openalex.org/W2921708801","doi":"https://doi.org/10.48550/arxiv.1803.06516","mag":"2921708801"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:1803.06516","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1803.06516","pdf_url":"https://arxiv.org/pdf/1803.06516","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1803.06516","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100722691","display_name":"Chengyu Zhang","orcid":"https://orcid.org/0000-0002-7285-289X","observed_orcids":["https://orcid.org/0000-0002-7285-289X"]},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhang, Chengyu","raw_affiliation_strings":["School of Computer Science and Software Engineering , East China Normal University , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Software Engineering , East China Normal University , China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043441209","display_name":"Ting Su","orcid":"https://orcid.org/0000-0003-1628-9796","observed_orcids":["https://orcid.org/0000-0003-1628-9796"]},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Su, Ting","raw_affiliation_strings":["School of Computer Science and Engineering , Nanyang Technological University , Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering , Nanyang Technological University , Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103163018","display_name":"Yichen Yan","orcid":"https://orcid.org/0009-0009-7620-4214","observed_orcids":["https://orcid.org/0009-0009-7620-4214"]},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan, Yichen","raw_affiliation_strings":["School of Computer Science and Software Engineering , East China Normal University , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Software Engineering , East China Normal University , China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Wu, Ke","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Ke","raw_affiliation_strings":["National Trusted Embedded Software Engineering Technology Research Center , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Trusted Embedded Software Engineering Technology Research Center , China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054490662","display_name":"Geguang Pu","orcid":"https://orcid.org/0000-0001-9750-8334","observed_orcids":["https://orcid.org/0000-0001-9750-8334"]},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pu, Geguang","raw_affiliation_strings":["School of Computer Science and Software Engineering , East China Normal University , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Software Engineering , East China Normal University , China","institution_ids":["https://openalex.org/I66867065"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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/T10142","display_name":"Formal Methods in Verification","score":0.0,"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/T10126","display_name":"Logic, programming, and type systems","score":0.0,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/data-flow-testing","display_name":"data flow testing","score":0.9390000104904175},{"id":"https://openalex.org/keywords/test-data-generation","display_name":"test data generation","score":0.8379999995231628},{"id":"https://openalex.org/keywords/symbolic-execution","display_name":"symbolic execution","score":0.8100000023841858},{"id":"https://openalex.org/keywords/klee","display_name":"KLEE","score":0.8840000033378601},{"id":"https://openalex.org/keywords/structural-testing","display_name":"structural testing","score":0.8309999704360962},{"id":"https://openalex.org/keywords/coverage-based-testing","display_name":"coverage-based testing","score":0.7419999837875366}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7841514348983765},{"id":"https://openalex.org/C96324660","wikidata":"https://www.wikidata.org/wiki/Q205446","display_name":"Dataflow","level":2,"score":0.7528700232505798},{"id":"https://openalex.org/C169168650","wikidata":"https://www.wikidata.org/wiki/Q1675637","display_name":"Keyword-driven testing","level":5,"score":0.6414859294891357},{"id":"https://openalex.org/C2779639559","wikidata":"https://www.wikidata.org/wiki/Q7661178","display_name":"Symbolic execution","level":3,"score":0.614260196685791},{"id":"https://openalex.org/C53942775","wikidata":"https://www.wikidata.org/wiki/Q1211721","display_name":"Code coverage","level":3,"score":0.556844174861908},{"id":"https://openalex.org/C148027188","wikidata":"https://www.wikidata.org/wiki/Q907375","display_name":"Unit testing","level":3,"score":0.5493443012237549},{"id":"https://openalex.org/C160191386","wikidata":"https://www.wikidata.org/wiki/Q868299","display_name":"Control flow","level":2,"score":0.5296919941902161},{"id":"https://openalex.org/C489000","wikidata":"https://www.wikidata.org/wiki/Q747385","display_name":"Data flow diagram","level":2,"score":0.5206924676895142},{"id":"https://openalex.org/C162443782","wikidata":"https://www.wikidata.org/wiki/Q1066228","display_name":"White-box testing","level":5,"score":0.5119003057479858},{"id":"https://openalex.org/C88468194","wikidata":"https://www.wikidata.org/wiki/Q1172416","display_name":"Data-flow analysis","level":3,"score":0.47402718663215637},{"id":"https://openalex.org/C107683887","wikidata":"https://www.wikidata.org/wiki/Q782466","display_name":"Integration testing","level":3,"score":0.43655166029930115},{"id":"https://openalex.org/C128942645","wikidata":"https://www.wikidata.org/wiki/Q1568346","display_name":"Test case","level":3,"score":0.4343961477279663},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.42545509338378906},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.4007802903652191},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36398616433143616},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.3264089822769165},{"id":"https://openalex.org/C149091818","wikidata":"https://www.wikidata.org/wiki/Q2429814","display_name":"Software system","level":3,"score":0.17235705256462097},{"id":"https://openalex.org/C186846655","wikidata":"https://www.wikidata.org/wiki/Q3398377","display_name":"Software construction","level":4,"score":0.10234078764915466},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","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}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:1803.06516","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1803.06516","pdf_url":"https://arxiv.org/pdf/1803.06516","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},{"id":"doi:10.48550/arxiv.1803.06516","doi":"https://doi.org/10.48550/arxiv.1803.06516","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1803.06516","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1803.06516","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1803.06516","pdf_url":"https://arxiv.org/pdf/1803.06516","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2921708801.pdf","grobid_xml":"https://content.openalex.org/works/W2921708801.grobid-xml"},"referenced_works_count":8,"referenced_works":["https://openalex.org/W72155360","https://openalex.org/W2013382827","https://openalex.org/W2028536280","https://openalex.org/W2060476709","https://openalex.org/W2107089133","https://openalex.org/W2134691366","https://openalex.org/W2596289355","https://openalex.org/W2788064332"],"related_works":["https://openalex.org/W2791554215","https://openalex.org/W2795151801","https://openalex.org/W3170373136","https://openalex.org/W2032782696","https://openalex.org/W7046855293","https://openalex.org/W7100757460","https://openalex.org/W3012129116","https://openalex.org/W2378131362","https://openalex.org/W4401881708","https://openalex.org/W1964065801"],"abstract_inverted_index":{"Dataflow":[0],"coverage,":[1],"one":[2,148],"of":[3,44,151],"the":[4,10,42,85,102,107],"white-box":[5],"testing":[6,23,32,91,104,119,141],"criteria,":[7],"focuses":[8],"on":[9,73],"relations":[11],"between":[12],"variable":[13],"definitions":[14],"and":[15,75,134],"their":[16],"uses.Several":[17],"empirical":[18],"studies":[19],"have":[20],"proved":[21],"data-flow":[22,31,66,90,103],"is":[24,115],"more":[25,146],"effective":[26,45],"than":[27,147],"control-flow":[28],"testing.":[29,126],"However,":[30],"still":[33],"cannot":[34],"find":[35],"its":[36],"adoption":[37],"in":[38,88,136,142],"practice,":[39,143],"due":[40],"to":[41,58,64,100,138],"lack":[43],"tool":[46],"support.":[47],"To":[48],"this":[49,71],"end,":[50],"we":[51,97],"propose":[52],"a":[53,116],"guided":[54],"symbolic":[55,110],"execution":[56,111],"approach":[57,72],"efficiently":[59],"search":[60],"for":[61,121],"program":[62,79],"paths":[63],"satisfy":[65],"coverage":[67],"criteria.":[68],"We":[69],"implemented":[70],"KLEE":[74],"evaluated":[76],"with":[77],"30":[78],"subjects":[80,86],"which":[81,114],"are":[82,98],"constructed":[83],"by":[84],"used":[87],"previous":[89],"literature,":[92],"SIR,":[93],"SV-COMP":[94],"benchmarks.":[95],"Moreover,":[96],"planning":[99],"integrate":[101],"technique":[105],"into":[106],"new":[108],"proposed":[109],"engine,":[112],"SmartUnit,":[113],"cloud-based":[117],"unit":[118],"service":[120],"industrial":[122],"software,":[123],"supporting":[124],"coverage-based":[125,140],"It":[127],"has":[128],"successfully":[129],"helped":[130],"several":[131],"well-known":[132],"corporations":[133],"institutions":[135],"China":[137],"adopt":[139],"totally":[144],"tested":[145],"million":[149],"lines":[150],"real":[152],"code":[153],"from":[154],"industry.":[155]},"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2019-03-22T00:00:00"}
