{"id":"https://openalex.org/W2967072515","doi":"https://doi.org/10.18293/seke2019-080","title":"Semantic Analysis for Deep Q-Network in Android GUI Testing","display_name":"Semantic Analysis for Deep Q-Network in Android GUI Testing","publication_year":2019,"publication_date":"2019-07-10","ids":{"openalex":"https://openalex.org/W2967072515","doi":"https://doi.org/10.18293/seke2019-080","mag":"2967072515"},"language":"en","primary_location":{"id":"doi:10.18293/seke2019-080","is_oa":true,"landing_page_url":"https://doi.org/10.18293/seke2019-080","pdf_url":"https://doi.org/10.18293/seke2019-080","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/seke2019-080","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028326612","display_name":"Thi Anh Tuyet Vuong","orcid":null},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Thi Anh Tuyet Vuong","raw_affiliation_strings":["Dept. of Information and Computer Science, Keio University, Yokohama, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Information and Computer Science, Keio University, Yokohama, Japan","institution_ids":["https://openalex.org/I203951103"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101769229","display_name":"Shingo Takada","orcid":"https://orcid.org/0000-0002-1255-177X"},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shingo Takada","raw_affiliation_strings":["Dept. of Information and Computer Science, Keio University, Yokohama, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Information and Computer Science, Keio University, Yokohama, Japan","institution_ids":["https://openalex.org/I203951103"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8358,"has_fulltext":true,"cited_by_count":31,"citation_normalized_percentile":{"value":0.86146448,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"2019","issue":null,"first_page":"123","last_page":"128"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9634000062942505,"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"}},"topics":[{"id":"https://openalex.org/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9634000062942505,"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/T12799","display_name":"Mobile and Web Applications","score":0.9050999879837036,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.783816397190094},{"id":"https://openalex.org/keywords/android","display_name":"Android (operating system)","score":0.6413503885269165},{"id":"https://openalex.org/keywords/graphical-user-interface-testing","display_name":"Graphical user interface testing","score":0.4486003518104553},{"id":"https://openalex.org/keywords/android-application","display_name":"Android application","score":0.44122999906539917},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.3736834228038788},{"id":"https://openalex.org/keywords/user-interface","display_name":"User interface","score":0.15772128105163574}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.783816397190094},{"id":"https://openalex.org/C557433098","wikidata":"https://www.wikidata.org/wiki/Q94","display_name":"Android (operating system)","level":2,"score":0.6413503885269165},{"id":"https://openalex.org/C66153210","wikidata":"https://www.wikidata.org/wiki/Q5597182","display_name":"Graphical user interface testing","level":4,"score":0.4486003518104553},{"id":"https://openalex.org/C3017891749","wikidata":"https://www.wikidata.org/wiki/Q94","display_name":"Android application","level":3,"score":0.44122999906539917},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.3736834228038788},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.15772128105163574},{"id":"https://openalex.org/C149229913","wikidata":"https://www.wikidata.org/wiki/Q135707","display_name":"User interface design","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18293/seke2019-080","is_oa":true,"landing_page_url":"https://doi.org/10.18293/seke2019-080","pdf_url":"https://doi.org/10.18293/seke2019-080","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/seke2019-080","is_oa":true,"landing_page_url":"https://doi.org/10.18293/seke2019-080","pdf_url":"https://doi.org/10.18293/seke2019-080","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2967072515.pdf","grobid_xml":"https://content.openalex.org/works/W2967072515.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W41554520","https://openalex.org/W1985206804","https://openalex.org/W1986061933","https://openalex.org/W2013856010","https://openalex.org/W2055703785","https://openalex.org/W2056653303","https://openalex.org/W2088749975","https://openalex.org/W2145339207","https://openalex.org/W2161963160","https://openalex.org/W2284276045","https://openalex.org/W2806400877","https://openalex.org/W2897966957","https://openalex.org/W2898304221","https://openalex.org/W2898557219","https://openalex.org/W2950387995","https://openalex.org/W3100789280","https://openalex.org/W3211903567","https://openalex.org/W4214717370","https://openalex.org/W6646518163","https://openalex.org/W6683536590","https://openalex.org/W6785900487"],"related_works":["https://openalex.org/W1565885216","https://openalex.org/W2088749975","https://openalex.org/W3217613120","https://openalex.org/W2961428223","https://openalex.org/W3108198331","https://openalex.org/W4285815317","https://openalex.org/W2352863297","https://openalex.org/W327645657","https://openalex.org/W2012891774","https://openalex.org/W4298063370"],"abstract_inverted_index":{"Since":[0],"the":[1,53,57,77,81,91,99,125,129],"big":[2],"boom":[3],"of":[4,8,52,60,80,94,116,128],"smartphone":[5],"and":[6,22,49,63,138],"consequently":[7],"mobile":[9],"applications,":[10],"developers":[11],"nowadays":[12],"have":[13],"many":[14],"tools":[15,28],"to":[16,69,102,124,146],"help":[17],"them":[18,65],"create":[19],"applications":[20,45],"easier":[21],"faster.":[23],"However,":[24],"efficient":[25],"automated":[26,39],"testing":[27,41,100,148],"are":[29],"still":[30],"missing,":[31],"especially":[32],"for":[33,43],"GUI":[34,40,61],"testing.":[35],"We":[36,55],"propose":[37],"an":[38,67],"tool":[42,101,119],"Android":[44],"using":[46,90],"Deep":[47],"Q-Network":[48],"semantic":[50,58],"analysis":[51],"GUI.":[54],"identify":[56],"meanings":[59],"elements":[62],"use":[64],"as":[66],"input":[68],"a":[70,113],"neural":[71,86],"network,":[72],"which":[73],"through":[74,112],"training,":[75],"approximates":[76],"behavioral":[78],"model":[79],"application":[82,130],"under":[83,131],"test.":[84,132],"The":[85,118],"network":[87],"is":[88,139],"trained":[89],"Q-Learning":[92],"algorithm":[93],"Reinforcement":[95],"Learning.":[96],"It":[97,133],"guides":[98],"explore":[103],"more":[104],"often":[105],"functionalities":[106],"that":[107],"can":[108],"only":[109],"be":[110],"accessed":[111],"specific":[114],"sequence":[115],"actions.":[117],"does":[120],"not":[121],"require":[122],"access":[123],"source":[126],"code":[127,136],"obtains":[134],"higher":[135],"coverage":[137],"better":[140],"at":[141],"fault":[142],"detection":[143],"in":[144],"comparison":[145],"state-of-the-art":[147],"tools.":[149]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":5}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}