{"id":"https://openalex.org/W2948859833","doi":"https://doi.org/10.1145/3299869.3320236","title":"RATest","display_name":"RATest","publication_year":2019,"publication_date":"2019-06-18","ids":{"openalex":"https://openalex.org/W2948859833","doi":"https://doi.org/10.1145/3299869.3320236","mag":"2948859833","pmid":"https://pubmed.ncbi.nlm.nih.gov/31388247"},"language":"en","primary_location":{"id":"doi:10.1145/3299869.3320236","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3299869.3320236","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3299869.3320236","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 International Conference on Management of Data","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3299869.3320236","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087858861","display_name":"Zhengjie Miao","orcid":"https://orcid.org/0009-0008-2371-1186"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zhengjie Miao","raw_affiliation_strings":["Duke University, Durham, NC, USA"],"affiliations":[{"raw_affiliation_string":"Duke University, Durham, NC, USA","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110322079","display_name":"Sudeepa Roy","orcid":null},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sudeepa Roy","raw_affiliation_strings":["Duke University, Durham, NC, USA"],"affiliations":[{"raw_affiliation_string":"Duke University, Durham, NC, USA","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101801967","display_name":"Jun Yang","orcid":"https://orcid.org/0000-0002-4901-8530"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jun Yang","raw_affiliation_strings":["Duke University, Durham, NC, USA"],"affiliations":[{"raw_affiliation_string":"Duke University, Durham, NC, USA","institution_ids":["https://openalex.org/I170897317"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5087858861"],"corresponding_institution_ids":["https://openalex.org/I170897317"],"apc_list":null,"apc_paid":null,"fwci":1.323,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.90181847,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"2019","issue":null,"first_page":"1961","last_page":"1964"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.7982264161109924},{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.7245148420333862},{"id":"https://openalex.org/keywords/counterexample","display_name":"Counterexample","score":0.6570206880569458},{"id":"https://openalex.org/keywords/debugging","display_name":"Debugging","score":0.6511842012405396},{"id":"https://openalex.org/keywords/test-suite","display_name":"Test suite","score":0.5824344158172607},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.5253378748893738},{"id":"https://openalex.org/keywords/suite","display_name":"Suite","score":0.49551355838775635},{"id":"https://openalex.org/keywords/relational-algebra","display_name":"Relational algebra","score":0.45572346448898315},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.45265549421310425},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4250867962837219},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.41141268610954285},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3674974739551544},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.32710087299346924},{"id":"https://openalex.org/keywords/test-case","display_name":"Test case","score":0.22046124935150146},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.1267707347869873},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.11853668093681335},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09440058469772339}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7982264161109924},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.7245148420333862},{"id":"https://openalex.org/C162838799","wikidata":"https://www.wikidata.org/wiki/Q596077","display_name":"Counterexample","level":2,"score":0.6570206880569458},{"id":"https://openalex.org/C168065819","wikidata":"https://www.wikidata.org/wiki/Q845566","display_name":"Debugging","level":2,"score":0.6511842012405396},{"id":"https://openalex.org/C151552104","wikidata":"https://www.wikidata.org/wiki/Q7705809","display_name":"Test suite","level":4,"score":0.5824344158172607},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.5253378748893738},{"id":"https://openalex.org/C79581498","wikidata":"https://www.wikidata.org/wiki/Q1367530","display_name":"Suite","level":2,"score":0.49551355838775635},{"id":"https://openalex.org/C95916125","wikidata":"https://www.wikidata.org/wiki/Q840540","display_name":"Relational algebra","level":3,"score":0.45572346448898315},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.45265549421310425},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4250867962837219},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.41141268610954285},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3674974739551544},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.32710087299346924},{"id":"https://openalex.org/C128942645","wikidata":"https://www.wikidata.org/wiki/Q1568346","display_name":"Test case","level":3,"score":0.22046124935150146},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.1267707347869873},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.11853668093681335},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09440058469772339},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3299869.3320236","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3299869.3320236","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3299869.3320236","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 International Conference on Management of Data","raw_type":"proceedings-article"},{"id":"pmid:31388247","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31388247","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. ACM-SIGMOD International Conference on Management of Data","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:6684020","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6684020","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proc ACM SIGMOD Int Conf Manag Data","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1145/3299869.3320236","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3299869.3320236","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3299869.3320236","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 International Conference on Management of Data","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.7099999785423279,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G1091353656","display_name":null,"funder_award_id":"R01EB025021","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G1506507800","display_name":"III: Small: Collaborative Research: Towards End-to-End Computer-Assisted Fact-Checking","funder_award_id":"1718398","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2401033971","display_name":null,"funder_award_id":"21-01","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G2924997014","display_name":null,"funder_award_id":"IIS-1408846 IIS-1552538 IIS-1703431 IIS-1718398 IIS-1814493","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3499912885","display_name":null,"funder_award_id":"1703431","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4081764933","display_name":null,"funder_award_id":"1R01EB025021","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G4213323792","display_name":null,"funder_award_id":"1552538","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5489881093","display_name":"III: Small: Durability Queries in Databases","funder_award_id":"1814493","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6449713112","display_name":null,"funder_award_id":"IIS-1408846, IIS-1552538, IIS-1703431, IIS-1718398","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7446531716","display_name":"III: Medium: Collaborative Research: From Answering Questions to  Questioning Answers (and Questions)---Perturbation Analysis of  Database Queries","funder_award_id":"1408846","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8302243993","display_name":null,"funder_award_id":"1R01EB025021-01","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G8720393765","display_name":null,"funder_award_id":"IIS-1552538, IIS-1703431","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/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2948859833.pdf","grobid_xml":"https://content.openalex.org/works/W2948859833.grobid-xml"},"referenced_works_count":9,"referenced_works":["https://openalex.org/W1480909796","https://openalex.org/W1552694902","https://openalex.org/W2143102052","https://openalex.org/W2159595840","https://openalex.org/W2293299776","https://openalex.org/W2584709123","https://openalex.org/W2964115955","https://openalex.org/W4254983202","https://openalex.org/W6683303659"],"related_works":["https://openalex.org/W2085988990","https://openalex.org/W2056340443","https://openalex.org/W2143485006","https://openalex.org/W2005835473","https://openalex.org/W3174970460","https://openalex.org/W2950556518","https://openalex.org/W2376710457","https://openalex.org/W4383617113","https://openalex.org/W1974946854","https://openalex.org/W1979093255"],"abstract_inverted_index":{"We":[0,142],"present":[1],"a":[2,33,41,54,97,108,126,156,162,168],"system":[3],"called":[4],"RATEST,":[5],"designed":[6],"to":[7,93,130,164],"help":[8,165],"debug":[9],"relational":[10,169],"queries":[11,14,136],"against":[12],"reference":[13,55],"and":[15,25,46,121,124,139],"test":[16,29,42],"database":[17,43,100,159],"instances.":[18],"In":[19],"many":[20],"applications,":[21],"e.g.,":[22],"classroom":[23],"learning":[24],"regression":[26],"testing,":[27],"we":[28,106],"the":[30,68,95],"correctness":[31],"of":[32,52,128,146],"user":[34,69,96],"query":[35,57],"<i>Q</i>":[36,58,66,71,85],"by":[37,80,155],"evaluating":[38,53],"it":[39,150],"over":[40,60],"instance":[44,101],"<i>D</i>":[45,75],"comparing":[47],"its":[48],"result":[49],"with":[50,167],"that":[51,111],"(correct)":[56],"<sub>0</sub>":[59],"<i>D</i>.":[61],"If":[62],"<i>Q</i>(<i>D</i>)":[63],"differs":[64],"from":[65],"<sub>0</sub>(<i>D</i>),":[67],"knows":[70],"is":[72,92],"incorrect.":[73],"However,":[74],"can":[76],"be":[77],"large":[78,157],"(often":[79],"design),":[81],"which":[82,105],"makes":[83],"debugging":[84],"difficult.":[86],"The":[87],"key":[88],"idea":[89],"behind":[90],"RATEST":[91,116,147],"show":[94],"much":[98],"smaller":[99],"<i>D</i>'":[102],"\u2286":[103],"<i>D</i>,":[104],"call":[107],"<i>counterexample,</i>":[109],"such":[110],"<i>Q</i>(<i>D</i>')":[112],"<i>\u2260":[113],"Q</i>":[114],"<sub>0</sub>(<i>D</i>').":[115],"builds":[117],"on":[118],"data":[119],"provenance":[120],"constraint":[122],"solving,":[123],"employs":[125],"suite":[127],"techniques":[129],"support,":[131],"at":[132],"interactive":[133],"speed,":[134],"complex":[135],"involving":[137],"differences":[138],"group-by":[140],"aggregation.":[141],"demonstrate":[143],"an":[144],"application":[145],"in":[148,161],"learning:":[149],"has":[151],"been":[152],"used":[153],"successfully":[154],"undergraduate":[158],"course":[160],"university":[163],"students":[166],"algebra":[170],"assignment.":[171]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2019-06-14T00:00:00"}
