{"id":"https://openalex.org/W3014675971","doi":"https://doi.org/10.1587/transinf.2019edl8195","title":"A Deep Neural Network-Based Approach to Finding Similar Code Segments","display_name":"A Deep Neural Network-Based Approach to Finding Similar Code Segments","publication_year":2020,"publication_date":"2020-03-31","ids":{"openalex":"https://openalex.org/W3014675971","doi":"https://doi.org/10.1587/transinf.2019edl8195","mag":"3014675971"},"language":"en","primary_location":{"id":"doi:10.1587/transinf.2019edl8195","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2019edl8195","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E103.D/4/E103.D_2019EDL8195/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.jstage.jst.go.jp/article/transinf/E103.D/4/E103.D_2019EDL8195/_pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071790411","display_name":"Dong Kwan Kim","orcid":"https://orcid.org/0000-0003-1984-0352"},"institutions":[{"id":"https://openalex.org/I185573737","display_name":"Mokpo National Maritime University","ror":"https://ror.org/023jsyh61","country_code":"KR","type":"education","lineage":["https://openalex.org/I185573737"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Dong Kwan KIM","raw_affiliation_strings":["Department of Computer Engineering, Mokpo National Maritime University"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Mokpo National Maritime University","institution_ids":["https://openalex.org/I185573737"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5071790411"],"corresponding_institution_ids":["https://openalex.org/I185573737"],"apc_list":null,"apc_paid":null,"fwci":1.1131,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.8370956,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"E103.D","issue":"4","first_page":"874","last_page":"878"},"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9962000250816345,"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":0.8513991236686707},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.7093979120254517},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6431434750556946},{"id":"https://openalex.org/keywords/bytecode","display_name":"Bytecode","score":0.6384562849998474},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.6383953094482422},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5966523289680481},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5139409899711609},{"id":"https://openalex.org/keywords/abstract-syntax-tree","display_name":"Abstract syntax tree","score":0.4815104901790619},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.47876158356666565},{"id":"https://openalex.org/keywords/syntax","display_name":"Syntax","score":0.4523018002510071},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.4357847571372986},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.4232974052429199},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4089384078979492},{"id":"https://openalex.org/keywords/java","display_name":"Java","score":0.21302810311317444},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.06077924370765686}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8513991236686707},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.7093979120254517},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6431434750556946},{"id":"https://openalex.org/C2779818221","wikidata":"https://www.wikidata.org/wiki/Q837330","display_name":"Bytecode","level":3,"score":0.6384562849998474},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.6383953094482422},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5966523289680481},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5139409899711609},{"id":"https://openalex.org/C58646249","wikidata":"https://www.wikidata.org/wiki/Q127380","display_name":"Abstract syntax tree","level":3,"score":0.4815104901790619},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.47876158356666565},{"id":"https://openalex.org/C60048249","wikidata":"https://www.wikidata.org/wiki/Q37437","display_name":"Syntax","level":2,"score":0.4523018002510071},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.4357847571372986},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.4232974052429199},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4089384078979492},{"id":"https://openalex.org/C548217200","wikidata":"https://www.wikidata.org/wiki/Q251","display_name":"Java","level":2,"score":0.21302810311317444},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.06077924370765686},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1587/transinf.2019edl8195","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2019edl8195","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E103.D/4/E103.D_2019EDL8195/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1587/transinf.2019edl8195","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2019edl8195","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E103.D/4/E103.D_2019EDL8195/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8825314180","display_name":null,"funder_award_id":"105636","funder_id":"https://openalex.org/F4320320671","funder_display_name":"National Research Foundation"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320321276","display_name":"Mokpo National Maritime University","ror":"https://ror.org/023jsyh61"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3014675971.pdf","grobid_xml":"https://content.openalex.org/works/W3014675971.grobid-xml"},"referenced_works_count":8,"referenced_works":["https://openalex.org/W2065053490","https://openalex.org/W2282866165","https://openalex.org/W2511803001","https://openalex.org/W2741705590","https://openalex.org/W2765426539","https://openalex.org/W2807866521","https://openalex.org/W2919074952","https://openalex.org/W3105535951"],"related_works":["https://openalex.org/W2077104824","https://openalex.org/W2170708539","https://openalex.org/W2406445318","https://openalex.org/W2536864162","https://openalex.org/W2390421503","https://openalex.org/W1533028283","https://openalex.org/W2095633838","https://openalex.org/W2395048784","https://openalex.org/W2364428493","https://openalex.org/W4389751695"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3],"Siamese":[4],"architecture":[5],"model":[6],"with":[7],"two":[8,18],"identical":[9],"Convolutional":[10],"Neural":[11],"Networks":[12],"(CNNs)":[13],"to":[14],"identify":[15],"code":[16,19,38,62,66],"clones;":[17],"fragments":[20],"are":[21],"represented":[22],"as":[23],"Abstract":[24],"Syntax":[25],"Trees":[26],"(ASTs),":[27],"CNN-based":[28,55],"subnetworks":[29],"extract":[30],"feature":[31,56],"vectors":[32],"from":[33],"the":[34,41],"ASTs":[35],"of":[36],"pairwise":[37],"fragments,":[39],"and":[40],"output":[42],"layer":[43],"produces":[44],"how":[45],"similar":[46],"or":[47,67],"dissimilar":[48],"they":[49],"are.":[50],"Experimental":[51],"results":[52],"demonstrate":[53],"that":[54],"extraction":[57],"is":[58],"effective":[59],"in":[60],"detecting":[61],"clones":[63],"at":[64],"source":[65],"bytecode":[68],"levels.":[69]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}