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An empirical study of large language models for type and call graph analysis in Python and JavaScript.

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Title: An empirical study of large language models for type and call graph analysis in Python and JavaScript.
Authors: Venkatesh, Ashwin Prasad Shivarpatna1, ashwin.prasad@upb.de, Sunil, Rose2, rose10@mail.uni-paderborn.de, Sabu, Samkutty2, samkutty@mail.uni-paderborn.de, Mir, Amir M.3, s.a.m.mir@tudelft.nl, Reis, Sofia4, sofia.o.reis@tecnico.ulisboa.pt, Bodden, Eric5, eric.bodden@upb.de
Source: Empirical Software Engineering; Dec2025, Vol. 30 Issue 6, p1-50, 50p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 188304437
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: An empirical study of large language models for type and call graph analysis in Python and JavaScript.
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  Data: <searchLink fieldCode="JN" term="%22Empirical+Software+Engineering%22">Empirical Software Engineering</searchLink>; Dec2025, Vol. 30 Issue 6, p1-50, 50p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=188304437
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      – Type: doi
        Value: 10.1007/s10664-025-10704-3
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      – Code: eng
        Text: English
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      – TitleFull: An empirical study of large language models for type and call graph analysis in Python and JavaScript.
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            NameFull: Venkatesh, Ashwin Prasad Shivarpatna
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            – D: 01
              M: 12
              Text: Dec2025
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              Y: 2025
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