{"id":"https://openalex.org/W3132455461","doi":"https://doi.org/10.1145/3446804.3446852","title":"Deep NLP-based co-evolvement for synthesizing code analysis from natural language","display_name":"Deep NLP-based co-evolvement for synthesizing code analysis from natural language","publication_year":2021,"publication_date":"2021-02-14","ids":{"openalex":"https://openalex.org/W3132455461","doi":"https://doi.org/10.1145/3446804.3446852","mag":"3132455461"},"language":"en","primary_location":{"id":"doi:10.1145/3446804.3446852","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3446804.3446852","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM SIGPLAN International Conference on Compiler Construction","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/A5108812443","display_name":"Zifan Nan","orcid":null},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zifan Nan","raw_affiliation_strings":["North Carolina State University, USA"],"affiliations":[{"raw_affiliation_string":"North Carolina State University, USA","institution_ids":["https://openalex.org/I137902535"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085489377","display_name":"Hui Guan","orcid":"https://orcid.org/0000-0001-9128-2231"},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hui Guan","raw_affiliation_strings":["University of Massachusetts at Amherst, USA"],"affiliations":[{"raw_affiliation_string":"University of Massachusetts at Amherst, USA","institution_ids":["https://openalex.org/I24603500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100624451","display_name":"Xipeng Shen","orcid":"https://orcid.org/0000-0003-3599-8010"},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xipeng Shen","raw_affiliation_strings":["North Carolina State University, USA"],"affiliations":[{"raw_affiliation_string":"North Carolina State University, USA","institution_ids":["https://openalex.org/I137902535"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034222191","display_name":"Chunhua Liao","orcid":"https://orcid.org/0000-0001-6477-0547"},"institutions":[{"id":"https://openalex.org/I1282311441","display_name":"Lawrence Livermore National Laboratory","ror":"https://ror.org/041nk4h53","country_code":"US","type":"facility","lineage":["https://openalex.org/I1282311441","https://openalex.org/I1330989302","https://openalex.org/I198811213","https://openalex.org/I4210138311"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chunhua Liao","raw_affiliation_strings":["Lawrence Livermore National Laboratory, USA"],"affiliations":[{"raw_affiliation_string":"Lawrence Livermore National Laboratory, USA","institution_ids":["https://openalex.org/I1282311441"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5108812443"],"corresponding_institution_ids":["https://openalex.org/I137902535"],"apc_list":null,"apc_paid":null,"fwci":2.4787,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.90470426,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"141","last_page":"152"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10743","display_name":"Software Testing and Debugging Techniques","score":0.992900013923645,"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/computer-science","display_name":"Computer science","score":0.869922399520874},{"id":"https://openalex.org/keywords/usable","display_name":"USable","score":0.682151198387146},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6778356432914734},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6625095009803772},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.6448526382446289},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.588283121585846},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.5835005044937134},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.5190706849098206},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.5190389752388},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5179354548454285},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.08534124493598938}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.869922399520874},{"id":"https://openalex.org/C2780615836","wikidata":"https://www.wikidata.org/wiki/Q2471869","display_name":"USable","level":2,"score":0.682151198387146},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6778356432914734},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6625095009803772},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.6448526382446289},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.588283121585846},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.5835005044937134},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.5190706849098206},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.5190389752388},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5179354548454285},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.08534124493598938},{"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/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3446804.3446852","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3446804.3446852","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM SIGPLAN International Conference on Compiler Construction","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6600000262260437,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G3771916154","display_name":null,"funder_award_id":"CNS-1717425, CCF-1703487, CCF-2028850","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W2696813","https://openalex.org/W848102080","https://openalex.org/W1655078475","https://openalex.org/W1843198456","https://openalex.org/W2012401665","https://openalex.org/W2065394549","https://openalex.org/W2081580037","https://openalex.org/W2097001189","https://openalex.org/W2107376583","https://openalex.org/W2123442489","https://openalex.org/W2132525863","https://openalex.org/W2153185479","https://openalex.org/W2158396456","https://openalex.org/W2162960800","https://openalex.org/W2166847432","https://openalex.org/W2175297521","https://openalex.org/W2175619924","https://openalex.org/W2247374552","https://openalex.org/W2269738476","https://openalex.org/W2276356546","https://openalex.org/W2293033107","https://openalex.org/W2295159694","https://openalex.org/W2402619042","https://openalex.org/W2561055248","https://openalex.org/W2601273560","https://openalex.org/W2745934983","https://openalex.org/W2751448157","https://openalex.org/W2762513422","https://openalex.org/W2799915114","https://openalex.org/W2899070402","https://openalex.org/W2914096745","https://openalex.org/W2964284687","https://openalex.org/W2968700020","https://openalex.org/W2976890614","https://openalex.org/W2980180246","https://openalex.org/W3007395661","https://openalex.org/W3099205773","https://openalex.org/W3104874136","https://openalex.org/W4210956481","https://openalex.org/W4229675450","https://openalex.org/W4251125603"],"related_works":["https://openalex.org/W3107474891","https://openalex.org/W44286443","https://openalex.org/W2384847609","https://openalex.org/W2511797247","https://openalex.org/W1592893681","https://openalex.org/W270927586","https://openalex.org/W2200456380","https://openalex.org/W2013531410","https://openalex.org/W2901590103","https://openalex.org/W1483367581"],"abstract_inverted_index":{"This":[0,80],"paper":[1,81],"presents":[2,82],"Deepsy,":[3],"a":[4,97],"Natural":[5,91,111],"Language-based":[6],"synthesizer":[7],"to":[8,35,60,73],"assist":[9],"source":[10],"code":[11,19,38,41,116],"analysis.":[12,39],"It":[13],"takes":[14],"English":[15],"descriptions":[16],"of":[17,76],"to-be-found":[18],"patterns":[20],"as":[21],"its":[22],"inputs,":[23],"and":[24,50,95,118,125,134],"automatically":[25],"produces":[26],"ASTMatcher":[27],"expressions":[28],"that":[29,108],"are":[30,69],"directly":[31],"usable":[32],"by":[33,88],"LLVM/Clang":[34],"materialize":[36],"intended":[37],"The":[40],"analysis":[42,114,117],"domain":[43],"features":[44,104],"profuse":[45],"complexities":[46],"in":[47],"data":[48],"types":[49],"operations,":[51],"which":[52],"make":[53],"it":[54,121],"elusive":[55],"for":[56],"prior":[57],"rule-based":[58],"synthesizers":[59],"tackle.":[61],"On":[62],"the":[63,74,86],"other":[64],"hand,":[65],"machine":[66],"learning-based":[67],"solutions":[68],"neither":[70],"applicable":[71],"due":[72],"scarcity":[75],"well":[77],"labeled":[78],"examples.":[79],"how":[83],"Deepsy":[84,128],"addresses":[85],"challenges":[87],"leveraging":[89],"deep":[90],"Language":[92,112],"Processing":[93],"(NLP)":[94],"creating":[96],"new":[98],"technique":[99],"named":[100],"dependency":[101,113],"tree-based":[102],"co-evolvement.Deepsy":[103],"an":[105],"effective":[106],"design":[107],"seamlessly":[109],"integrates":[110],"into":[115],"meanwhile":[119],"synergizes":[120],"with":[122],"type-based":[123],"narrowing":[124],"domain-specific":[126],"guidance.":[127],"achieves":[129],"over":[130],"70.0%":[131],"expression-level":[132],"accuracy":[133],"85.1%":[135],"individual":[136],"API-level":[137],"accuracy,":[138],"significantly":[139],"outperforming":[140],"previous":[141],"solutions.":[142]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
