Conference
Προβολή σε EDS

Framework-Adaptive Agentic Pipelines for API Knowledge Extraction and Test Generation

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Framework-Adaptive Agentic Pipelines for API Knowledge Extraction and Test Generation
Συγγραφείς: Zhao, Peng, Blake, John, Pyshkin, Evgeny
Πηγή: 2026 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT) Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT), 2026 IEEE International Conference on. :185-192 Jul, 2026
Relation: 2026 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT)
Βάση Δεδομένων: IEEE Xplore Digital Library
FullText Text:
  Availability: 0
Header DbId: edseee
DbLabel: IEEE Xplore Digital Library
An: edseee.11620949
RelevancyScore: 1178
AccessLevel: 2
PubType: Conference
PubTypeId: conference
PreciseRelevancyScore: 1177.95971679688
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Framework-Adaptive Agentic Pipelines for API Knowledge Extraction and Test Generation
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Zhao%2C+Peng%22">Zhao, Peng</searchLink><br /><searchLink fieldCode="AR" term="%22Blake%2C+John%22">Blake, John</searchLink><br /><searchLink fieldCode="AR" term="%22Pyshkin%2C+Evgeny%22">Pyshkin, Evgeny</searchLink>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: 2026 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT) Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT), 2026 IEEE International Conference on. :185-192 Jul, 2026
– Name: NoteTitleSource
  Label: Relation
  Group: SrcInfo
  Data: 2026 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edseee&AN=edseee.11620949
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1109/IAICT71158.2026.11620949
    PhysicalDescription:
      Pagination:
        PageCount: 8
        StartPage: 185
    Titles:
      – TitleFull: Framework-Adaptive Agentic Pipelines for API Knowledge Extraction and Test Generation
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Zhao, Peng
      – PersonEntity:
          Name:
            NameFull: Blake, John
      – PersonEntity:
          Name:
            NameFull: Pyshkin, Evgeny
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 02
              M: 07
              Type: published
              Y: 2026
          Identifiers:
            – Type: isbn-print
              Value: 9798319536082
            – Type: isbn-print
              Value: 9798319536075
            – Type: isbn-print
              Value: 9798319536099
            – Type: issn-print
              Value: 28348249
            – Type: issn-print
              Value: 28348230
            – Type: issn-locals
              Value: edseee.IEEEConferenc
          Titles:
            – TitleFull: 2026 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT), Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT), 2026 IEEE International Conference on
              Type: main
ResultId 1