{"id":"https://openalex.org/W3042605921","doi":"https://doi.org/10.1145/3395363.3397355","title":"Automated classification of actions in bug reports of mobile apps","display_name":"Automated classification of actions in bug reports of mobile apps","publication_year":2020,"publication_date":"2020-07-13","ids":{"openalex":"https://openalex.org/W3042605921","doi":"https://doi.org/10.1145/3395363.3397355","mag":"3042605921"},"language":"en","primary_location":{"id":"doi:10.1145/3395363.3397355","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3395363.3397355","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM SIGSOFT International Symposium on Software Testing and Analysis","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/A5024721944","display_name":"Hui Liu","orcid":"https://orcid.org/0000-0002-3267-6801"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hui Liu","raw_affiliation_strings":["Beijing Institute of Technology, China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006829213","display_name":"Mingzhu Shen","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingzhu Shen","raw_affiliation_strings":["Beijing Institute of Technology, China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102833200","display_name":"Jiahao Jin","orcid":"https://orcid.org/0000-0003-4569-7238"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiahao Jin","raw_affiliation_strings":["Beijing Institute of Technology, China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077424533","display_name":"Yanjie Jiang","orcid":"https://orcid.org/0000-0001-6404-9143"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanjie Jiang","raw_affiliation_strings":["Beijing Institute of Technology, China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5024721944"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":2.4022,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.91220434,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"128","last_page":"140"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9986000061035156,"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/T10430","display_name":"Software Engineering Techniques and Practices","score":0.998199999332428,"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":0.8263940215110779},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.6902433633804321},{"id":"https://openalex.org/keywords/commit","display_name":"Commit","score":0.6732546091079712},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6680035591125488},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6409863829612732},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5928910374641418},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.5768218040466309},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.4679020345211029},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.45752108097076416},{"id":"https://openalex.org/keywords/stop-words","display_name":"Stop words","score":0.42453640699386597},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34710928797721863},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.25182396173477173},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.10876664519309998},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.09797444939613342}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8263940215110779},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.6902433633804321},{"id":"https://openalex.org/C153180980","wikidata":"https://www.wikidata.org/wiki/Q19776675","display_name":"Commit","level":2,"score":0.6732546091079712},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6680035591125488},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6409863829612732},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5928910374641418},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.5768218040466309},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.4679020345211029},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.45752108097076416},{"id":"https://openalex.org/C188338183","wikidata":"https://www.wikidata.org/wiki/Q80735","display_name":"Stop words","level":3,"score":0.42453640699386597},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34710928797721863},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.25182396173477173},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.10876664519309998},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.09797444939613342},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3395363.3397355","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3395363.3397355","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM SIGSOFT International Symposium on Software Testing and Analysis","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W46659105","https://openalex.org/W1522547150","https://openalex.org/W1534707631","https://openalex.org/W1596717185","https://openalex.org/W1832693441","https://openalex.org/W1985206804","https://openalex.org/W2008502641","https://openalex.org/W2035030692","https://openalex.org/W2053154970","https://openalex.org/W2064675550","https://openalex.org/W2095727900","https://openalex.org/W2097576663","https://openalex.org/W2131774270","https://openalex.org/W2741390934","https://openalex.org/W2741600166","https://openalex.org/W2854345383","https://openalex.org/W2916905798","https://openalex.org/W2940501901","https://openalex.org/W2950610407","https://openalex.org/W2967289945","https://openalex.org/W2969033227","https://openalex.org/W2978329087","https://openalex.org/W4206070857","https://openalex.org/W4249972823"],"related_works":["https://openalex.org/W4367365664","https://openalex.org/W4293227618","https://openalex.org/W2136634148","https://openalex.org/W3122851392","https://openalex.org/W3122800671","https://openalex.org/W4250708772","https://openalex.org/W4288862737","https://openalex.org/W1984769753","https://openalex.org/W2401620832","https://openalex.org/W4297677903"],"abstract_inverted_index":{"When":[0],"users":[1,94],"encounter":[2],"problems":[3,11],"with":[4,100,259,274],"mobile":[5],"apps,":[6],"they":[7,56],"may":[8,95,126],"commit":[9],"such":[10,44,72],"to":[12,27,34,37,63,87,133,150,280,285],"developers":[13],"as":[14],"bug":[15,22,41,69,159,164,254,300],"reports.":[16,42,70,160,301],"To":[17,137,242],"facilitate":[18],"the":[19,29,35,53,85,97,111,118,179,191,196,211,231,234,239,244,314],"processing":[20,206],"of":[21,106,178,198,210,233,317],"reports,":[23],"researchers":[24],"proposed":[25],"approaches":[26,45,293,311],"validate":[28],"reported":[30,54],"issues":[31],"automatically":[32],"according":[33],"steps":[36],"reproduce":[38],"specified":[39],"in":[40,51,68,123,140,156,238,298],"Although":[43],"have":[46,78,127],"achieved":[47],"high":[48,275],"success":[49,315],"rate":[50],"reproducing":[52,299],"issues,":[55],"often":[57],"rely":[58],"on":[59,110,172,265],"a":[60,162,224],"predefined":[61],"vocabulary":[62,75,86],"identify":[64,151],"and":[65,76,130,152,195,207,217,296,319,325],"classify":[66,153],"actions":[67,107,250],"However,":[71],"manually":[73,247,266],"constructed":[74],"classification":[77,105],"significant":[79],"limitations.":[80],"It":[81],"is":[82],"challenging":[83],"for":[84],"cover":[88],"all":[89],"potential":[90],"action":[91,99,112,120,135,154,169,181,215,236],"words":[92,113,155,170,251],"because":[93,117],"describe":[96],"same":[98,119],"different":[101,124,128,134],"words.":[102],"Besides":[103],"that,":[104],"solely":[108],"based":[109,171,227],"could":[114,289],"be":[115],"inaccurate":[116],"word,":[121],"appearing":[122],"contexts,":[125,186],"meaning":[129],"thus":[131],"belongs":[132],"categories.":[136],"this":[138,141],"end,":[139],"paper":[142],"we":[143,246],"propose":[144],"an":[145],"automated":[146],"approach,":[147],"called":[148],"MaCa,":[149],"Mobile":[157],"apps\u2019":[158],"For":[161,176],"given":[163,235,240],"report,":[165],"it":[166],"first":[167],"identifies":[168],"natural":[173,204],"language":[174,205],"processing.":[175],"each":[177],"resulting":[180],"words,":[182],"MaCa":[183,271,288,308],"extracts":[184],"its":[185,188,199,218],"i.e.,":[187],"enclosing":[189],"segment,":[190],"associated":[192,212,258],"UI":[193],"target,":[194],"type":[197],"target":[200],"element":[201],"by":[202,321],"both":[203],"static":[208],"analysis":[209],"app.":[213],"The":[214],"word":[216,237],"contexts":[219],"are":[220,257],"then":[221],"fed":[222],"into":[223,309],"machine":[225],"learning":[226],"classifier":[228],"that":[229,256,270,306],"predicts":[230],"category":[232],"context.":[241],"train":[243],"classifier,":[245],"labelled":[248,267],"1,202":[249],"from":[252,278],"525":[253],"reports":[255],"207":[260],"apps.":[261],"Our":[262,302],"evaluation":[263,303],"results":[264,304],"data":[268],"suggested":[269,305],"was":[272],"accurate":[273],"accuracy":[276],"varying":[277],"95%":[279],"96.7%.":[281],"We":[282],"also":[283],"investigated":[284],"what":[286],"extent":[287],"further":[290],"improve":[291],"existing":[292,310],"(i.e.,":[294],"Yakusu":[295,320],"ReCDroid)":[297],"integrating":[307],"significantly":[312],"improved":[313],"rates":[316],"ReCDroid":[318],"22.7%":[322],"=":[323],"(69.2%-56.4%)/56.4%":[324],"22.9%=":[326],"(62.7%-51%)/51%,":[327],"respectively.":[328]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
