{"id":"https://openalex.org/W3198471314","doi":"https://doi.org/10.18293/seke2021-047","title":"Using LSTM to Predict Tactics in Coq","display_name":"Using LSTM to Predict Tactics in Coq","publication_year":2021,"publication_date":"2021-07-03","ids":{"openalex":"https://openalex.org/W3198471314","doi":"https://doi.org/10.18293/seke2021-047","mag":"3198471314"},"language":"en","primary_location":{"id":"doi:10.18293/seke2021-047","is_oa":true,"landing_page_url":"https://doi.org/10.18293/seke2021-047","pdf_url":"https://doi.org/10.18293/seke2021-047","source":{"id":"https://openalex.org/S4220650826","display_name":"Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering","issn_l":"2325-9000","issn":["2325-9000","2325-9086"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conferences on Software Engineering and Knowledge Engineering","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://doi.org/10.18293/seke2021-047","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086001317","display_name":"Xiaokun Luan","orcid":"https://orcid.org/0000-0002-5878-6486"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaokun Luan","raw_affiliation_strings":["School of Mathematical Sciences, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5086001317"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":0.2254,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.49420308,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"2021","issue":null,"first_page":"132","last_page":"137"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12282","display_name":"Mineral Processing and Grinding","score":0.9531000256538391,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12282","display_name":"Mineral Processing and Grinding","score":0.9531000256538391,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10892","display_name":"Drilling and Well Engineering","score":0.9057999849319458,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13050","display_name":"Oil and Gas Production Techniques","score":0.9032999873161316,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/computer-science","display_name":"Computer science","score":0.7111713886260986},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3798089325428009}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7111713886260986},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3798089325428009}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18293/seke2021-047","is_oa":true,"landing_page_url":"https://doi.org/10.18293/seke2021-047","pdf_url":"https://doi.org/10.18293/seke2021-047","source":{"id":"https://openalex.org/S4220650826","display_name":"Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering","issn_l":"2325-9000","issn":["2325-9000","2325-9086"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conferences on Software Engineering and Knowledge Engineering","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18293/seke2021-047","is_oa":true,"landing_page_url":"https://doi.org/10.18293/seke2021-047","pdf_url":"https://doi.org/10.18293/seke2021-047","source":{"id":"https://openalex.org/S4220650826","display_name":"Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering","issn_l":"2325-9000","issn":["2325-9000","2325-9086"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conferences on Software Engineering and Knowledge Engineering","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.5}],"awards":[{"id":"https://openalex.org/G1551371719","display_name":null,"funder_award_id":"61772038","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2602136225","display_name":null,"funder_award_id":"2018B01","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6069953956","display_name":null,"funder_award_id":"2018B0101","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7468986614","display_name":null,"funder_award_id":"61532019","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3198471314.pdf","grobid_xml":"https://content.openalex.org/works/W3198471314.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W1513458930","https://openalex.org/W1519551513","https://openalex.org/W1529227536","https://openalex.org/W1972429843","https://openalex.org/W2064675550","https://openalex.org/W2106417311","https://openalex.org/W2139842876","https://openalex.org/W2162201044","https://openalex.org/W2183341477","https://openalex.org/W2273975827","https://openalex.org/W2549482841","https://openalex.org/W2595444172","https://openalex.org/W2730785852","https://openalex.org/W2946011656","https://openalex.org/W2962922385","https://openalex.org/W2990591631","https://openalex.org/W3012710117","https://openalex.org/W3105002484","https://openalex.org/W3105421491","https://openalex.org/W4232716952","https://openalex.org/W6630794770","https://openalex.org/W6631785222","https://openalex.org/W6676070970","https://openalex.org/W6683905482","https://openalex.org/W6729391556","https://openalex.org/W6757509329","https://openalex.org/W6785891763","https://openalex.org/W6786007590"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2350741829","https://openalex.org/W2130043461","https://openalex.org/W2530322880","https://openalex.org/W1596801655"],"abstract_inverted_index":{"Quality":[0],"assurance":[1],"of":[2,23,104,149,163],"rapidly":[3],"evolving":[4],"systems":[5],"is":[6,40],"increasingly":[7],"important":[8],"for":[9,86],"their":[10,33],"deployment":[11],"to":[12,31,127,182],"real-life":[13],"applications.":[14],"Despite":[15],"the":[16,20,53,57,69,77,102,105,124,140,155,168,183],"challenges":[17],"posed":[18],"by":[19,91],"increasing":[21],"complexity":[22],"these":[24],"systems,":[25],"various":[26],"techniques":[27],"have":[28],"been":[29],"developed":[30],"check":[32],"correctness,":[34],"such":[35],"as":[36],"theorem":[37,59],"proving,":[38],"which":[39],"a":[41,49,84,114,118,174],"powerful":[42],"formal":[43],"verification":[44],"method":[45],"that":[46,133],"can":[47],"provide":[48],"complete":[50],"guarantee.":[51],"However,":[52],"proving":[54,70,78],"process":[55,71,79],"in":[56,80,89,185],"interactive":[58],"provers":[60],"like":[61],"Coq":[62,90],"highly":[63],"relies":[64],"on":[65,109,139],"human":[66],"interactions,":[67],"making":[68],"difficult":[72],"and":[73,112,159,176],"time-consuming.":[74],"To":[75],"automate":[76],"Coq,":[81],"we":[82,152,166],"present":[83],"framework":[85],"predicting":[87],"tactics":[88],"using":[92],"Long":[93],"Short":[94],"Term":[95],"Memory":[96],"(LSTM).":[97],"We":[98,122],"take":[99],"into":[100],"account":[101],"effect":[103],"dataset":[106,116],"proof":[107,120,141],"style":[108],"machine":[110],"learning":[111],"create":[113],"new":[115],"following":[117],"specific":[119],"style.":[121],"use":[123,154],"generated":[125],"data":[126],"train":[128],"an":[129,147,161],"LSTM-based":[130],"neural":[131,144],"network":[132,145],"could":[134],"give":[135],"tactic":[136,158,171],"predictions":[137],"based":[138],"context.":[142],"This":[143],"reaches":[146,160],"accuracy":[148,162],"58%":[150],"if":[151,165],"only":[153],"first":[156,169],"predicted":[157],"87%":[164],"select":[167],"three":[170],"suggestions,":[172],"achieving":[173],"15.2%":[175],"12.8%":[177],"improvement":[178],"rate,":[179],"respectively,":[180],"compared":[181],"methods":[184],"previous":[186],"work.":[187]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
