{"id":"https://openalex.org/W7137971116","doi":"https://doi.org/10.48550/arxiv.2603.14099","title":"DeepFix: Debugging and Fixing Machine Learning Workflow using Agentic AI","display_name":"DeepFix: Debugging and Fixing Machine Learning Workflow using Agentic AI","publication_year":2026,"publication_date":"2026-03-14","ids":{"openalex":"https://openalex.org/W7137971116","doi":"https://doi.org/10.48550/arxiv.2603.14099"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.14099","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.14099","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.14099","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004935272","display_name":"Fadel Mamar Seydou","orcid":"https://orcid.org/0000-0002-2582-3084"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Seydou, Fadel Mamar","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5129728431","display_name":"Arnab Sharma","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sharma, Arnab","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.2574000060558319,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.2574000060558319,"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/T10743","display_name":"Software Testing and Debugging Techniques","score":0.2513999938964844,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.08259999752044678,"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/debugging","display_name":"Debugging","score":0.6998000144958496},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.6973999738693237},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.4925000071525574},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.4846999943256378},{"id":"https://openalex.org/keywords/test-strategy","display_name":"Test strategy","score":0.4749000072479248},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4577000141143799},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.4415999948978424},{"id":"https://openalex.org/keywords/manual-testing","display_name":"Manual testing","score":0.37689998745918274},{"id":"https://openalex.org/keywords/model-based-testing","display_name":"Model-based testing","score":0.3743000030517578},{"id":"https://openalex.org/keywords/test-case","display_name":"Test case","score":0.35899999737739563}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7479000091552734},{"id":"https://openalex.org/C168065819","wikidata":"https://www.wikidata.org/wiki/Q845566","display_name":"Debugging","level":2,"score":0.6998000144958496},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.6973999738693237},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6330999732017517},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5705000162124634},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.49779999256134033},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.4925000071525574},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.4846999943256378},{"id":"https://openalex.org/C188598960","wikidata":"https://www.wikidata.org/wiki/Q7705805","display_name":"Test strategy","level":3,"score":0.4749000072479248},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4577000141143799},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.4415999948978424},{"id":"https://openalex.org/C182122060","wikidata":"https://www.wikidata.org/wiki/Q6752328","display_name":"Manual testing","level":5,"score":0.37689998745918274},{"id":"https://openalex.org/C165825675","wikidata":"https://www.wikidata.org/wiki/Q1399743","display_name":"Model-based testing","level":4,"score":0.3743000030517578},{"id":"https://openalex.org/C128942645","wikidata":"https://www.wikidata.org/wiki/Q1568346","display_name":"Test case","level":3,"score":0.35899999737739563},{"id":"https://openalex.org/C111065885","wikidata":"https://www.wikidata.org/wiki/Q1189053","display_name":"Fuzz testing","level":3,"score":0.3490999937057495},{"id":"https://openalex.org/C162443782","wikidata":"https://www.wikidata.org/wiki/Q1066228","display_name":"White-box testing","level":5,"score":0.3375000059604645},{"id":"https://openalex.org/C111524372","wikidata":"https://www.wikidata.org/wiki/Q7663718","display_name":"System integration testing","level":5,"score":0.33469998836517334},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.3276999890804291},{"id":"https://openalex.org/C149091818","wikidata":"https://www.wikidata.org/wiki/Q2429814","display_name":"Software system","level":3,"score":0.326200008392334},{"id":"https://openalex.org/C108913964","wikidata":"https://www.wikidata.org/wiki/Q2376856","display_name":"System under test","level":4,"score":0.3190999925136566},{"id":"https://openalex.org/C1009929","wikidata":"https://www.wikidata.org/wiki/Q179550","display_name":"Software bug","level":3,"score":0.3190000057220459},{"id":"https://openalex.org/C529173508","wikidata":"https://www.wikidata.org/wiki/Q638608","display_name":"Software development","level":3,"score":0.3093000054359436},{"id":"https://openalex.org/C110251889","wikidata":"https://www.wikidata.org/wiki/Q1569697","display_name":"Model checking","level":2,"score":0.2937000095844269},{"id":"https://openalex.org/C107683887","wikidata":"https://www.wikidata.org/wiki/Q782466","display_name":"Integration testing","level":3,"score":0.28439998626708984},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.27970001101493835},{"id":"https://openalex.org/C86469151","wikidata":"https://www.wikidata.org/wiki/Q917415","display_name":"Non-regression testing","level":5,"score":0.2727000117301941},{"id":"https://openalex.org/C161821725","wikidata":"https://www.wikidata.org/wiki/Q917415","display_name":"Regression testing","level":5,"score":0.26649999618530273},{"id":"https://openalex.org/C48002344","wikidata":"https://www.wikidata.org/wiki/Q2919644","display_name":"Verification and validation","level":2,"score":0.26409998536109924},{"id":"https://openalex.org/C169168650","wikidata":"https://www.wikidata.org/wiki/Q1675637","display_name":"Keyword-driven testing","level":5,"score":0.2612999975681305},{"id":"https://openalex.org/C180152950","wikidata":"https://www.wikidata.org/wiki/Q2904257","display_name":"Software development process","level":4,"score":0.2605000138282776},{"id":"https://openalex.org/C148027188","wikidata":"https://www.wikidata.org/wiki/Q907375","display_name":"Unit testing","level":3,"score":0.25999999046325684},{"id":"https://openalex.org/C2984328558","wikidata":"https://www.wikidata.org/wiki/Q188522","display_name":"Software testing","level":3,"score":0.25110000371932983}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.14099","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.14099","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.14099","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.14099","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"machine":[3],"learning":[4],"(ML)":[5],"based":[6,45,153],"software":[7,131,193],"systems":[8,194],"are":[9],"increasingly":[10],"deployed":[11],"in":[12,81,100],"several":[13,189],"critical":[14,54],"applications,":[15],"yet":[16],"systematic":[17],"testing":[18,37,110,122,206,229,241],"of":[19,56,78,111,157,191],"their":[20,62,163],"behavior":[21],"remains":[22],"challenging":[23],"due":[24,60],"to":[25,52,61,74,91,93,127,143,182,200,224],"complex":[26,63],"model":[27],"architectures,":[28],"large":[29],"input":[30],"spaces,":[31],"and":[32,136,175,195],"evolving":[33],"deployment":[34],"environments.":[35],"Existing":[36],"approaches":[38],"often":[39,50],"rely":[40],"on":[41,46,154],"generating":[42],"test":[43,128],"cases":[44,216],"given":[47],"requirements,":[48],"which":[49,165],"fail":[51],"reveal":[53,232],"bugs":[55],"modern":[57],"ML":[58,83,114,130,192,202],"models":[59],"nature.":[64],"Most":[65],"importantly,":[66,177],"such":[67,95],"approaches,":[68],"although":[69],"they":[70,85],"can":[71,166,196,231],"be":[72,167,197],"used":[73],"detect":[75],"the":[76,82,112,129,155,158,208,227,247],"presence":[77],"specific":[79],"failures":[80],"software,":[84],"hardly":[86],"provide":[87],"any":[88,133,171,201],"message":[89],"as":[90,217,219],"how":[92,226],"fix":[94,183],"errors.":[96],"To":[97],"tackle":[98],"this,":[99],"this":[101],"paper,":[102],"we":[103],"present":[104],"DeepFix,":[105],"a":[106,145,151],"tool":[107],"for":[108,132],"automated":[109],"entire":[113],"pipeline":[115],"using":[116],"an":[117,139],"agentic":[118,140,228],"AI":[119],"framework.":[120],"Our":[121],"approach":[123,142],"first":[124],"leverages":[125],"Deepchecks":[126],"potential":[134],"bugs,":[135,160],"thereafter,":[137],"uses":[138],"AI-based":[141],"generate":[144],"detailed":[146],"bug":[147],"report.":[148],"This":[149],"includes":[150],"ranking,":[152],"severity":[156],"found":[159],"along":[161],"with":[162],"explanations,":[164],"interpreted":[168],"easily":[169,199],"by":[170,239],"non-data":[172],"science":[173],"experts":[174],"most":[176],"also":[178],"provides":[179],"possible":[180],"ways":[181],"these":[184],"bugs.":[185],"Additionally,":[186],"DeepFix":[187],"supports":[188],"types":[190],"integrated":[198],"workflow,":[203],"enabling":[204],"continuous":[205],"throughout":[207],"development":[209],"lifecycle.":[210],"We":[211],"discuss":[212],"our":[213],"already":[214],"validated":[215],"well":[218],"some":[220],"planned":[221],"validations":[222],"designed":[223],"demonstrate":[225],"process":[230],"hidden":[233],"failure":[234],"modes":[235],"that":[236],"remain":[237],"undetected":[238],"conventional":[240],"methods.":[242],"A":[243],"5-minute":[244],"screencast":[245],"demonstrating":[246],"tool's":[248],"core":[249],"functionality":[250],"is":[251],"available":[252],"at":[253],"https://youtu.be/WfwZmFcQgBQ.":[254]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-03-18T00:00:00"}