{"id":"https://openalex.org/W4399729021","doi":"https://doi.org/10.1109/syscon61195.2024.10553464","title":"On Extending the Automatic Test Markup Language (ATML) for Machine Learning","display_name":"On Extending the Automatic Test Markup Language (ATML) for Machine Learning","publication_year":2024,"publication_date":"2024-04-15","ids":{"openalex":"https://openalex.org/W4399729021","doi":"https://doi.org/10.1109/syscon61195.2024.10553464"},"language":"en","primary_location":{"id":"doi:10.1109/syscon61195.2024.10553464","is_oa":false,"landing_page_url":"https://doi.org/10.1109/syscon61195.2024.10553464","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Systems Conference (SysCon)","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/A5007842569","display_name":"Tyler Cody","orcid":"https://orcid.org/0000-0001-9215-5816"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Tyler Cody","raw_affiliation_strings":["Virginia Tech,Department of Industrial and Systems Engineering","Department of Industrial and Systems Engineering, Virginia Tech","Responsible General Intelligence Lab, Virginia Tech"],"affiliations":[{"raw_affiliation_string":"Virginia Tech,Department of Industrial and Systems Engineering","institution_ids":["https://openalex.org/I859038795"]},{"raw_affiliation_string":"Department of Industrial and Systems Engineering, Virginia Tech","institution_ids":["https://openalex.org/I859038795"]},{"raw_affiliation_string":"Responsible General Intelligence Lab, Virginia Tech","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071133762","display_name":"Bingtong Li","orcid":"https://orcid.org/0000-0001-9739-1754"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bingtong Li","raw_affiliation_strings":["Virginia Tech,Department of Industrial and Systems Engineering","Department of Industrial and Systems Engineering, Virginia Tech","Responsible General Intelligence Lab, Virginia Tech"],"affiliations":[{"raw_affiliation_string":"Virginia Tech,Department of Industrial and Systems Engineering","institution_ids":["https://openalex.org/I859038795"]},{"raw_affiliation_string":"Department of Industrial and Systems Engineering, Virginia Tech","institution_ids":["https://openalex.org/I859038795"]},{"raw_affiliation_string":"Responsible General Intelligence Lab, Virginia Tech","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056670558","display_name":"Peter A. Beling","orcid":"https://orcid.org/0000-0003-2196-6982"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peter Beling","raw_affiliation_strings":["Virginia Tech,Department of Industrial and Systems Engineering","Responsible General Intelligence Lab, Virginia Tech","Department of Industrial and Systems Engineering, Virginia Tech"],"affiliations":[{"raw_affiliation_string":"Virginia Tech,Department of Industrial and Systems Engineering","institution_ids":["https://openalex.org/I859038795"]},{"raw_affiliation_string":"Responsible General Intelligence Lab, Virginia Tech","institution_ids":["https://openalex.org/I859038795"]},{"raw_affiliation_string":"Department of Industrial and Systems Engineering, Virginia Tech","institution_ids":["https://openalex.org/I859038795"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5007842569"],"corresponding_institution_ids":["https://openalex.org/I859038795"],"apc_list":null,"apc_paid":null,"fwci":1.0911,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.80269122,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.998199999332428,"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"}},"topics":[{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.998199999332428,"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":0.9966999888420105,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9966999888420105,"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":0.781959593296051},{"id":"https://openalex.org/keywords/markup-language","display_name":"Markup language","score":0.7766004800796509},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.6219519972801208},{"id":"https://openalex.org/keywords/ruleml","display_name":"RuleML","score":0.6061546802520752},{"id":"https://openalex.org/keywords/xhtml","display_name":"XHTML","score":0.5264078974723816},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.4738277196884155},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44478875398635864},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4258943498134613},{"id":"https://openalex.org/keywords/xml","display_name":"XML","score":0.33746087551116943},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.22379162907600403}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.781959593296051},{"id":"https://openalex.org/C45874996","wikidata":"https://www.wikidata.org/wiki/Q37045","display_name":"Markup language","level":3,"score":0.7766004800796509},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.6219519972801208},{"id":"https://openalex.org/C196388810","wikidata":"https://www.wikidata.org/wiki/Q631877","display_name":"RuleML","level":5,"score":0.6061546802520752},{"id":"https://openalex.org/C189139006","wikidata":"https://www.wikidata.org/wiki/Q166074","display_name":"XHTML","level":4,"score":0.5264078974723816},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.4738277196884155},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44478875398635864},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4258943498134613},{"id":"https://openalex.org/C8797682","wikidata":"https://www.wikidata.org/wiki/Q2115","display_name":"XML","level":2,"score":0.33746087551116943},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.22379162907600403},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/syscon61195.2024.10553464","is_oa":false,"landing_page_url":"https://doi.org/10.1109/syscon61195.2024.10553464","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Systems Conference (SysCon)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1490787135","https://openalex.org/W1520611670","https://openalex.org/W1985865058","https://openalex.org/W2099419573","https://openalex.org/W2112804462","https://openalex.org/W2163920959","https://openalex.org/W2166344837","https://openalex.org/W2203709713","https://openalex.org/W2545270470","https://openalex.org/W2617270814","https://openalex.org/W2884508227","https://openalex.org/W2897042519","https://openalex.org/W2946065750","https://openalex.org/W2949103145","https://openalex.org/W2959840420","https://openalex.org/W2973459053","https://openalex.org/W3016581898","https://openalex.org/W3100279624","https://openalex.org/W3135970545","https://openalex.org/W3180975139","https://openalex.org/W4205388938","https://openalex.org/W4281771706","https://openalex.org/W4282541642","https://openalex.org/W4294977708","https://openalex.org/W4312390057","https://openalex.org/W4315798449","https://openalex.org/W4385730927"],"related_works":["https://openalex.org/W2768131452","https://openalex.org/W1831550526","https://openalex.org/W10129681","https://openalex.org/W2187952378","https://openalex.org/W4205261768","https://openalex.org/W2383389726","https://openalex.org/W2211309320","https://openalex.org/W4235568820","https://openalex.org/W1957705281","https://openalex.org/W2358918344"],"abstract_inverted_index":{"This":[0,125],"paper":[1,68,103,126],"addresses":[2],"the":[3,10,37,40,49,76,83,121],"urgent":[4],"need":[5],"for":[6,60,63,162],"messaging":[7],"standards":[8,135],"in":[9,22,27],"operational":[11,166],"test":[12],"and":[13,32,87,99,179],"evaluation":[14],"(T&E)":[15],"of":[16,39,79,85,123,168,174],"machine":[17],"learning":[18],"(ML)":[19],"applications,":[20,81,110,170],"particularly":[21],"edge":[23],"ML":[24,64,80,134,151,169],"applications":[25],"embedded":[26],"systems":[28],"like":[29,136],"robots,":[30],"satellites,":[31],"unmanned":[33],"vehicles.":[34],"It":[35],"examines":[36],"suitability":[38],"IEEE":[41,71],"Standard":[42],"1671":[43,73],"(IEEE":[44],"Std":[45,72],"1671),":[46],"known":[47],"as":[48,96],"Automatic":[50],"Test":[51],"Markup":[52,139],"Language":[53,140],"(ATML),":[54],"an":[55,171],"XML-based":[56],"standard":[57],"originally":[58],"developed":[59],"electronic":[61],"systems,":[62],"application":[65],"testing.":[66],"The":[67],"explores":[69],"extending":[70],"to":[74,108,115,119],"encompass":[75],"unique":[77],"challenges":[78],"including":[82],"use":[84],"datasets":[86],"dependencies":[88],"on":[89,130,150],"software.":[90],"Through":[91],"modeling":[92],"various":[93],"tests":[94],"such":[95],"adversarial":[97],"robustness":[98],"drift":[100],"detection,":[101],"this":[102],"offers":[104],"a":[105,159],"framework":[106],"adaptable":[107],"specific":[109],"suggesting":[111],"that":[112,156],"minor":[113],"modifications":[114],"ATML":[116,157],"might":[117],"suffice":[118],"address":[120],"novelties":[122],"ML.":[124],"differentiates":[127],"ATML\u2019s":[128],"focus":[129],"testing":[131],"from":[132],"other":[133],"Predictive":[137],"Model":[138],"(PMML)":[141],"or":[142],"Open":[143],"Neural":[144],"Network":[145],"Exchange":[146],"(ONNX),":[147],"which":[148],"concentrate":[149],"model":[152],"specification.":[153],"We":[154],"conclude":[155],"is":[158],"promising":[160],"tool":[161],"effective,":[163],"near":[164],"real-time":[165],"T&E":[167],"essential":[172],"aspect":[173],"AI":[175],"lifecycle":[176],"management,":[177],"safety,":[178],"governance.":[180]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
