{"id":"https://openalex.org/W7204222827","doi":"https://doi.org/10.1109/aitest70988.2026.00044","title":"Multi-Agent Change Impact Analysis and Test Optimization for AI-Enabled Software Systems","display_name":"Multi-Agent Change Impact Analysis and Test Optimization for AI-Enabled Software Systems","publication_year":2026,"publication_date":"2026-07-01","ids":{"openalex":"https://openalex.org/W7204222827","doi":"https://doi.org/10.1109/aitest70988.2026.00044"},"language":"en","primary_location":{"id":"doi:10.1109/aitest70988.2026.00044","doi":"https://doi.org/10.1109/aitest70988.2026.00044","is_oa":true,"landing_page_url":"https://doi.org/10.1109/aitest70988.2026.00044","pdf_url":null,"source":{"id":"https://openalex.org/S7407087400","display_name":"IEEE International Conference on Artificial Intelligence Testing (AITest)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE International Conference on Artificial Intelligence Testing (AITest)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1109/aitest70988.2026.00044","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069006475","display_name":"Nariman Mani","orcid":"https://orcid.org/0009-0006-7418-3278","observed_orcids":["https://orcid.org/0009-0006-7418-3278"]},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nariman Mani","raw_affiliation_strings":["University of Arizona"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Arizona","institution_ids":["https://openalex.org/I138006243"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139139352","display_name":"Amr S. Abdelfattah","orcid":"https://orcid.org/0000-0001-7702-0059","observed_orcids":["https://orcid.org/0000-0001-7702-0059"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Amr S. Abdelfattah","raw_affiliation_strings":["Meta Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meta Inc","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062003877","display_name":"Shakthi Weerasinghe","orcid":"https://orcid.org/0000-0001-9287-3420","observed_orcids":["https://orcid.org/0000-0001-9287-3420"]},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shakthi Weerasinghe","raw_affiliation_strings":["University of Arizona"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Arizona","institution_ids":["https://openalex.org/I138006243"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100693396","display_name":"Xiaozhou Li","orcid":"https://orcid.org/0000-0002-3767-2527","observed_orcids":["https://orcid.org/0000-0002-3767-2527","https://orcid.org/0009-0004-0632-8979"]},"institutions":[{"id":"https://openalex.org/I171543936","display_name":"Free University of Bozen-Bolzano","ror":"https://ror.org/012ajp527","country_code":"IT","type":"education","lineage":["https://openalex.org/I171543936"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Xiaozhou Li","raw_affiliation_strings":["Free University of Bozen-Bolzano"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Free University of Bozen-Bolzano","institution_ids":["https://openalex.org/I171543936"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5125998611","display_name":"Tomas Cerny","orcid":"https://orcid.org/0000-0002-5882-5502","observed_orcids":["https://orcid.org/0000-0002-5882-5502"]},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tomas Cerny","raw_affiliation_strings":["University of Arizona"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Arizona","institution_ids":["https://openalex.org/I138006243"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.59793654,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"249","last_page":"260"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":0.6538000106811523,"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":0.6538000106811523,"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/T10743","display_name":"Software Testing and Debugging Techniques","score":0.2915000021457672,"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"}},{"id":"https://openalex.org/T10639","display_name":"Advanced Software Engineering Methodologies","score":0.01940000057220459,"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/change-impact-analysis","display_name":"change impact analysis","score":0.925000011920929},{"id":"https://openalex.org/keywords/multi-agent-systems","display_name":"multi-agent systems","score":0.9639999866485596},{"id":"https://openalex.org/keywords/software-maintenance","display_name":"software maintenance","score":0.4129999876022339},{"id":"https://openalex.org/keywords/test-automation","display_name":"test automation","score":0.3930000066757202}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5365999937057495},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.4675999879837036},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.38659998774528503},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.38429999351501465},{"id":"https://openalex.org/C149091818","wikidata":"https://www.wikidata.org/wiki/Q2429814","display_name":"Software system","level":3,"score":0.3734999895095825},{"id":"https://openalex.org/C7166840","wikidata":"https://www.wikidata.org/wiki/Q1199682","display_name":"System testing","level":2,"score":0.2881999909877777},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2824999988079071},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.2809000015258789},{"id":"https://openalex.org/C24119478","wikidata":"https://www.wikidata.org/wiki/Q679871","display_name":"Systems analysis","level":2,"score":0.2800000011920929},{"id":"https://openalex.org/C529173508","wikidata":"https://www.wikidata.org/wiki/Q638608","display_name":"Software development","level":3,"score":0.26899999380111694},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.26829999685287476},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.26190000772476196}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aitest70988.2026.00044","doi":"https://doi.org/10.1109/aitest70988.2026.00044","is_oa":true,"landing_page_url":"https://doi.org/10.1109/aitest70988.2026.00044","pdf_url":null,"source":{"id":"https://openalex.org/S7407087400","display_name":"IEEE International Conference on Artificial Intelligence Testing (AITest)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE International Conference on Artificial Intelligence Testing (AITest)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1109/aitest70988.2026.00044","doi":"https://doi.org/10.1109/aitest70988.2026.00044","is_oa":true,"landing_page_url":"https://doi.org/10.1109/aitest70988.2026.00044","pdf_url":null,"source":{"id":"https://openalex.org/S7407087400","display_name":"IEEE International Conference on Artificial Intelligence Testing (AITest)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE International Conference on Artificial Intelligence Testing (AITest)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2158288171","https://openalex.org/W2163572991","https://openalex.org/W2603119212","https://openalex.org/W4384154501","https://openalex.org/W4384345650","https://openalex.org/W4398766360","https://openalex.org/W4400484796","https://openalex.org/W4400526126","https://openalex.org/W4400528676","https://openalex.org/W4403536268","https://openalex.org/W4406325768","https://openalex.org/W4409495297","https://openalex.org/W4410536988","https://openalex.org/W4410537769","https://openalex.org/W4411449940","https://openalex.org/W4411551687","https://openalex.org/W4411552119","https://openalex.org/W4413319458","https://openalex.org/W4413679473","https://openalex.org/W4416144343","https://openalex.org/W7124174355"],"related_works":["https://openalex.org/W7080229042","https://openalex.org/W7220707752","https://openalex.org/W7204225513","https://openalex.org/W7204232272","https://openalex.org/W2995226322","https://openalex.org/W2075884425","https://openalex.org/W7036163777","https://openalex.org/W2619965671","https://openalex.org/W6904066635","https://openalex.org/W3209662639"],"abstract_inverted_index":{"AI-enabled":[0],"service-oriented":[1],"systems":[2],"change":[3,66,134],"through":[4],"code,":[5],"data,":[6],"prompts,":[7],"service":[8],"contracts,":[9],"retrieval":[10],"indices,":[11],"and":[12,35,51,69,87,119,141,152,171],"deployment":[13],"workflows,":[14],"which":[15],"makes":[16],"regression":[17,27,71],"impact":[18,67,178,197],"difficult":[19],"to":[20,45],"localize":[21],"with":[22,110,116,123,136,160],"code-centric":[23],"evidence":[24,53],"only.":[25],"Existing":[26],"test":[28,72,186],"selection":[29,187],"methods":[30],"provide":[31,40],"strong":[32],"code-,":[33],"configuration-,":[34],"service-level":[36],"signals,":[37],"but":[38],"they":[39],"limited":[41],"guidance":[42],"on":[43,98],"how":[44],"reconcile":[46],"structural,":[47],"document,":[48],"semantic,":[49],"retrieval,":[50],"risk":[52],"when":[54,176],"these":[55],"signals":[56],"disagree.":[57],"This":[58],"paper":[59],"presents":[60],"a":[61,80,83,88,113,120,201],"multi-agent":[62,156,185],"orchestration":[63],"framework":[64,97,194],"for":[65,195],"analysis":[68,198],"budget-aware":[70],"selection,":[73],"where":[74],"specialized":[75],"agents":[76],"score":[77],"various":[78],"evidence,":[79],"coordinator":[81],"applies":[82],"fixed":[84],"CI/CD":[85,121,169],"budget,":[86],"graph-backed":[89,164],"variant":[90],"records":[91],"arbitration":[92],"traces.":[93],"We":[94],"evaluate":[95],"the":[96,142,154,163,167,184],"three":[99],"case-study":[100],"systems:":[101],"an":[102,190],"anonymized":[103],"industrial":[104],"wellness":[105],"retrieval-augmented":[106],"generation":[107],"(RAG)":[108],"platform":[109],"300":[111],"tests,":[112,118],"microservice":[114],"application":[115],"150":[117],"pipeline":[122],"60":[124],"tests.":[125],"Each":[126],"system":[127],"has":[128],"six":[129],"snapshots,":[130],"producing":[131],"five":[132],"evaluated":[133],"transitions,":[135],"two":[137],"replicates":[138],"per":[139],"transition":[140],"same":[143],"budget":[144],"rule":[145],"across":[146],"systems.":[147],"The":[148],"results":[149],"are":[150],"mixed":[151],"informative:":[153],"base":[155],"configuration":[157,165],"is":[158],"competitive":[159],"monolithic":[161],"fusion,":[162],"recovers":[166],"strongest":[168,175],"score,":[170],"single-signal":[172],"baselines":[173],"remain":[174],"one":[177],"mechanism":[179],"dominates.":[180],"These":[181],"findings":[182],"position":[183],"approach":[188],"as":[189],"observable,":[191],"configurable":[192],"decision":[193],"cross-domain":[196],"rather":[199],"than":[200],"universally":[202],"superior":[203],"predictor.":[204]},"counts_by_year":[],"updated_date":"2026-11-03T10:50:19.383937","created_date":"2026-08-27T00:00:00"}
