{"id":"https://openalex.org/W4411523027","doi":"https://doi.org/10.1145/3728907","title":"AudioTest: Prioritizing Audio Test Cases","display_name":"AudioTest: Prioritizing Audio Test Cases","publication_year":2025,"publication_date":"2025-06-22","ids":{"openalex":"https://openalex.org/W4411523027","doi":"https://doi.org/10.1145/3728907"},"language":"en","primary_location":{"id":"doi:10.1145/3728907","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3728907","pdf_url":null,"source":{"id":"https://openalex.org/S4404663975","display_name":"Proceedings of the ACM on software engineering.","issn_l":"2994-970X","issn":["2994-970X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Software Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://orbilu.uni.lu/handle/10993/66098","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100413684","display_name":"Yinghua Li","orcid":"https://orcid.org/0000-0003-1390-0393"},"institutions":[{"id":"https://openalex.org/I186903577","display_name":"University of Luxembourg","ror":"https://ror.org/036x5ad56","country_code":"LU","type":"education","lineage":["https://openalex.org/I186903577"]}],"countries":["LU"],"is_corresponding":false,"raw_author_name":"Yinghua Li","raw_affiliation_strings":["University of Luxembourg, Luxembourg, Luxembourg"],"raw_orcid":"https://orcid.org/0000-0003-1390-0393","affiliations":[{"raw_affiliation_string":"University of Luxembourg, Luxembourg, Luxembourg","institution_ids":["https://openalex.org/I186903577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006693940","display_name":"Xueqi Dang","orcid":"https://orcid.org/0000-0003-4097-9543"},"institutions":[{"id":"https://openalex.org/I186903577","display_name":"University of Luxembourg","ror":"https://ror.org/036x5ad56","country_code":"LU","type":"education","lineage":["https://openalex.org/I186903577"]}],"countries":["LU"],"is_corresponding":false,"raw_author_name":"Xueqi Dang","raw_affiliation_strings":["University of Luxembourg, Luxembourg, Luxembourg"],"raw_orcid":"https://orcid.org/0000-0003-4097-9543","affiliations":[{"raw_affiliation_string":"University of Luxembourg, Luxembourg, Luxembourg","institution_ids":["https://openalex.org/I186903577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093047858","display_name":"Wendk\u00fbuni C. Ou\u00e9draogo","orcid":"https://orcid.org/0009-0009-7312-6273"},"institutions":[{"id":"https://openalex.org/I186903577","display_name":"University of Luxembourg","ror":"https://ror.org/036x5ad56","country_code":"LU","type":"education","lineage":["https://openalex.org/I186903577"]}],"countries":["LU"],"is_corresponding":false,"raw_author_name":"Wendk\u00fbuni C. Ou\u00e9draogo","raw_affiliation_strings":["University of Luxembourg, Luxembourg, Luxembourg"],"raw_orcid":"https://orcid.org/0009-0009-7312-6273","affiliations":[{"raw_affiliation_string":"University of Luxembourg, Luxembourg, Luxembourg","institution_ids":["https://openalex.org/I186903577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040326968","display_name":"Jacques Klein","orcid":"https://orcid.org/0000-0003-4052-475X"},"institutions":[{"id":"https://openalex.org/I186903577","display_name":"University of Luxembourg","ror":"https://ror.org/036x5ad56","country_code":"LU","type":"education","lineage":["https://openalex.org/I186903577"]}],"countries":["LU"],"is_corresponding":false,"raw_author_name":"Jacques Klein","raw_affiliation_strings":["University of Luxembourg, Luxembourg, Luxembourg"],"raw_orcid":"https://orcid.org/0000-0003-4052-475X","affiliations":[{"raw_affiliation_string":"University of Luxembourg, Luxembourg, Luxembourg","institution_ids":["https://openalex.org/I186903577"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082835974","display_name":"Tegawend\u00e9 F. Bissyand\u00e9","orcid":"https://orcid.org/0000-0001-7270-9869"},"institutions":[{"id":"https://openalex.org/I186903577","display_name":"University of Luxembourg","ror":"https://ror.org/036x5ad56","country_code":"LU","type":"education","lineage":["https://openalex.org/I186903577"]}],"countries":["LU"],"is_corresponding":false,"raw_author_name":"Tegawend\u00e9 F. Bissyand\u00e9","raw_affiliation_strings":["University of Luxembourg, Luxembourg, Luxembourg"],"raw_orcid":"https://orcid.org/0000-0001-7270-9869","affiliations":[{"raw_affiliation_string":"University of Luxembourg, Luxembourg, Luxembourg","institution_ids":["https://openalex.org/I186903577"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I186903577"],"apc_list":null,"apc_paid":null,"fwci":1.2761,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.79506803,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"2","issue":"ISSTA","first_page":"707","last_page":"730"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9991999864578247,"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/T11309","display_name":"Music and Audio Processing","score":0.9991999864578247,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9983000159263611,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9904000163078308,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8277015686035156},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.505826473236084},{"id":"https://openalex.org/keywords/audio-analyzer","display_name":"Audio analyzer","score":0.4853002429008484},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4645877182483673},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.464346706867218},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4448612630367279},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.42934948205947876},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42812901735305786},{"id":"https://openalex.org/keywords/prioritization","display_name":"Prioritization","score":0.42795509099960327},{"id":"https://openalex.org/keywords/test-data","display_name":"Test data","score":0.41423875093460083},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4118928611278534},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4070329964160919},{"id":"https://openalex.org/keywords/audio-signal-processing","display_name":"Audio signal processing","score":0.30943989753723145},{"id":"https://openalex.org/keywords/audio-signal","display_name":"Audio signal","score":0.29414230585098267},{"id":"https://openalex.org/keywords/speech-coding","display_name":"Speech coding","score":0.20510441064834595},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.08507779240608215}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8277015686035156},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.505826473236084},{"id":"https://openalex.org/C160372630","wikidata":"https://www.wikidata.org/wiki/Q4819855","display_name":"Audio analyzer","level":5,"score":0.4853002429008484},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4645877182483673},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.464346706867218},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4448612630367279},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.42934948205947876},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42812901735305786},{"id":"https://openalex.org/C2777615720","wikidata":"https://www.wikidata.org/wiki/Q11888847","display_name":"Prioritization","level":2,"score":0.42795509099960327},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.41423875093460083},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4118928611278534},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4070329964160919},{"id":"https://openalex.org/C127220857","wikidata":"https://www.wikidata.org/wiki/Q2719318","display_name":"Audio signal processing","level":4,"score":0.30943989753723145},{"id":"https://openalex.org/C64922751","wikidata":"https://www.wikidata.org/wiki/Q4650799","display_name":"Audio signal","level":3,"score":0.29414230585098267},{"id":"https://openalex.org/C13895895","wikidata":"https://www.wikidata.org/wiki/Q3270773","display_name":"Speech coding","level":2,"score":0.20510441064834595},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.08507779240608215},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3728907","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3728907","pdf_url":null,"source":{"id":"https://openalex.org/S4404663975","display_name":"Proceedings of the ACM on software engineering.","issn_l":"2994-970X","issn":["2994-970X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Software Engineering","raw_type":"journal-article"},{"id":"pmh:oai:orbilu.uni.lu:10993/66098","is_oa":true,"landing_page_url":"https://orbilu.uni.lu/handle/10993/66098","pdf_url":null,"source":{"id":"https://openalex.org/S4306401815","display_name":"Open Repository and Bibliography (University of Luxembourg)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I186903577","host_organization_name":"University of Luxembourg","host_organization_lineage":["https://openalex.org/I186903577"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"AudioTest: Prioritizing Audio Test Cases (2025-06-22); 34th ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2025","raw_type":"http://purl.org/coar/resource_type/c_5794"}],"best_oa_location":{"id":"pmh:oai:orbilu.uni.lu:10993/66098","is_oa":true,"landing_page_url":"https://orbilu.uni.lu/handle/10993/66098","pdf_url":null,"source":{"id":"https://openalex.org/S4306401815","display_name":"Open Repository and Bibliography (University of Luxembourg)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I186903577","host_organization_name":"University of Luxembourg","host_organization_lineage":["https://openalex.org/I186903577"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"AudioTest: Prioritizing Audio Test Cases (2025-06-22); 34th ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2025","raw_type":"http://purl.org/coar/resource_type/c_5794"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.5899999737739563}],"awards":[{"id":"https://openalex.org/G2801079969","display_name":null,"funder_award_id":"949014","funder_id":"https://openalex.org/F4320334678","funder_display_name":"European Research Council"}],"funders":[{"id":"https://openalex.org/F4320334678","display_name":"European Research Council","ror":"https://ror.org/0472cxd90"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":74,"referenced_works":["https://openalex.org/W129413713","https://openalex.org/W1522741019","https://openalex.org/W1577581905","https://openalex.org/W2014515160","https://openalex.org/W2036144807","https://openalex.org/W2038484192","https://openalex.org/W2045837563","https://openalex.org/W2046747375","https://openalex.org/W2076618162","https://openalex.org/W2120563984","https://openalex.org/W2125324924","https://openalex.org/W2138428785","https://openalex.org/W2144205901","https://openalex.org/W2151074137","https://openalex.org/W2170771779","https://openalex.org/W2187089797","https://openalex.org/W2188687640","https://openalex.org/W2245294015","https://openalex.org/W2292289085","https://openalex.org/W2295598076","https://openalex.org/W2526050071","https://openalex.org/W2593116425","https://openalex.org/W2752782242","https://openalex.org/W2799640043","https://openalex.org/W2803193013","https://openalex.org/W2804337238","https://openalex.org/W2890964092","https://openalex.org/W2899067106","https://openalex.org/W2905627582","https://openalex.org/W2948254043","https://openalex.org/W2954629067","https://openalex.org/W2963161254","https://openalex.org/W2963208512","https://openalex.org/W2963859210","https://openalex.org/W2982138961","https://openalex.org/W3007113923","https://openalex.org/W3035016613","https://openalex.org/W3041012898","https://openalex.org/W3042703469","https://openalex.org/W3048160496","https://openalex.org/W3089756992","https://openalex.org/W3094550259","https://openalex.org/W3103158293","https://openalex.org/W3105347387","https://openalex.org/W3120991880","https://openalex.org/W3128290931","https://openalex.org/W3143367551","https://openalex.org/W3161493619","https://openalex.org/W3176969530","https://openalex.org/W3178469298","https://openalex.org/W3200467243","https://openalex.org/W4213102919","https://openalex.org/W4225410698","https://openalex.org/W4252398072","https://openalex.org/W4294831657","https://openalex.org/W4299559948","https://openalex.org/W4311159382","https://openalex.org/W4313178214","https://openalex.org/W4328028641","https://openalex.org/W4383102502","https://openalex.org/W4384155612","https://openalex.org/W4384302905","https://openalex.org/W4385822954","https://openalex.org/W4385823321","https://openalex.org/W4386886765","https://openalex.org/W4391278020","https://openalex.org/W4393335834","https://openalex.org/W4399224009","https://openalex.org/W4400188649","https://openalex.org/W4400888954","https://openalex.org/W4402754032","https://openalex.org/W4403882622","https://openalex.org/W4411552887","https://openalex.org/W6687152286"],"related_works":["https://openalex.org/W2098934641","https://openalex.org/W3135871143","https://openalex.org/W4382560817","https://openalex.org/W2347715673","https://openalex.org/W2405875744","https://openalex.org/W296599067","https://openalex.org/W2020966186","https://openalex.org/W2119339729","https://openalex.org/W4387698063","https://openalex.org/W27741130"],"abstract_inverted_index":{"Audio":[0],"classification":[1],"systems,":[2],"powered":[3],"by":[4],"deep":[5],"neural":[6],"networks":[7],"(DNNs),":[8],"are":[9,104,110,179],"integral":[10],"to":[11,33,67,99,176,182,230,242,321,330,338],"various":[12],"applications":[13],"that":[14,173,299],"impact":[15],"daily":[16],"lives,":[17],"like":[18],"voice-activated":[19],"assistants.":[20],"Ensuring":[21],"the":[22,48,80,128,187,244,259,264,303,322],"accuracy":[23],"of":[24,83,131,190,197,216,246,248,266,282,289,310,318],"these":[25,153],"systems":[26],"is":[27,172],"crucial":[28],"since":[29],"inaccuracies":[30],"can":[31],"lead":[32],"significant":[34,46],"security":[35],"issues":[36],"and":[37,87,113,205,222,256,273,286,313,335],"user":[38],"mistrust.":[39],"However,":[40,92],"testing":[41],"audio":[42,55,142],"classifiers":[43],"presents":[44],"a":[45,64,158,219,224,239],"challenge:":[47],"high":[49],"manual":[50],"labeling":[51,70,82],"cost":[52,71],"for":[53,79,141,147,165,293],"annotating":[54],"test":[56,96,101,149,160,167,250,305,324],"inputs.":[57,150,168],"Test":[58],"input":[59],"prioritization":[60,97,161,306,325],"has":[61],"emerged":[62],"as":[63],"promising":[65],"approach":[66,162],"mitigate":[68],"this":[69],"issue.":[72],"It":[73],"prioritizes":[74],"potentially":[75],"misclassified":[76,177,232],"tests,":[77],"allowing":[78],"early":[81],"such":[84],"critical":[85],"inputs":[86],"making":[88,144],"debugging":[89],"more":[90,180],"efficient.":[91],"when":[93],"applying":[94],"existing":[95],"methods":[98,109,120,136,326],"audio-type":[100,132,148,166,191],"inputs,":[102],"there":[103],"some":[105],"limitations:":[106],"1)":[107],"Coverage-based":[108],"less":[111],"effective":[112],"efficient":[114],"than":[115],"confidence-based":[116],"methods.":[117],"2)":[118],"Confidence-based":[119],"rely":[121],"only":[122],"on":[123,186,252,332,340],"prediction":[124],"probability":[125,245],"vectors,":[126],"ignoring":[127],"unique":[129],"characteristics":[130,189],"data.":[133],"3)":[134],"Mutation-based":[135],"lack":[137],"designed":[138,164,226],"mutation":[139],"operations":[140],"data,":[143,192],"them":[145],"unsuitable":[146],"To":[151],"overcome":[152],"challenges,":[154],"we":[155],"propose":[156],"AudioTest,":[157],"novel":[159],"specifically":[163],"The":[169,296,315],"core":[170],"premise":[171],"tests":[174,233,260],"closer":[175,234],"samples":[178],"likely":[181],"be":[183],"misclassified.":[184],"Based":[185],"special":[188],"AudioTest":[193,211,237,267,300,319],"generates":[194],"four":[195,214],"types":[196,215],"features:":[198],"time-domain":[199],"features,":[200,202,204],"frequency-domain":[201],"perceptual":[203],"output":[206],"features.":[207],"For":[208],"each":[209,249],"test,":[210],"concatenates":[212],"its":[213,253],"features":[217],"into":[218],"feature":[220,227],"vector":[221],"applies":[223],"carefully":[225],"transformation":[228],"strategy":[229],"bring":[231],"in":[235,308],"space.":[236],"leverages":[238],"trained":[240],"model":[241],"predict":[243],"misclassification":[247],"based":[251],"transformed":[254],"vectors":[255],"ranks":[257],"all":[258,302],"accordingly.":[261],"We":[262,276],"evaluate":[263],"performance":[265],"utilizing":[268],"96":[269],"subjects,":[270],"encompassing":[271],"natural":[272,333],"noisy":[274,341],"datasets.":[275,342],"employed":[277],"two":[278],"classical":[279],"metrics,":[280],"Percentage":[281,288],"Fault":[283,290],"Detection":[284],"(PFD)":[285],"Average":[287],"Detected":[291],"(APFD),":[292],"our":[294],"evaluation.":[295],"results":[297],"demonstrate":[298],"outperforms":[301],"compared":[304,320],"approaches":[307],"terms":[309],"both":[311],"PFD":[312],"APFD.":[314],"average":[316],"improvement":[317],"baseline":[323],"ranges":[327],"from":[328,336],"12.63%":[329],"54.58%":[331],"datasets":[334],"12.71%":[337],"40.48%":[339]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-07-25T15:57:00.446498","created_date":"2025-10-10T00:00:00"}