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APLAS 2023, Taipei, Taiwan

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Chung-Kil Hur:
Programming Languages and Systems - 21st Asian Symposium, APLAS 2023, Taipei, Taiwan, November 26-29, 2023, Proceedings. Lecture Notes in Computer Science 14405, Springer 2023, ISBN 978-981-99-8310-0

Types

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Yudai Tanabe, Luthfan Anshar Lubis, Tomoyuki Aotani, Hidehiko Masuhara:
Compilation Semantics for a Programming Language with Versions. 3-23
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Ke Sun, Sheng Chen, Meng Wang, Dan Hao:
What Types Are Needed for Typing Dynamic Objects? A Python-Based Empirical Study. 24-45
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Cas van der Rest, Casper Bach Poulsen:
Types and Semantics for Extensible Data Types. 46-66

Functional Languages

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Beniamino Accattoli, Pablo Barenbaum:
A Diamond Machine for Strong Evaluation. 69-90
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Jui-Hsuan Wu:
Proofs as Terms, Terms as Graphs. 91-111
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Bas van den Heuvel, Joseph W. N. Paulus, Daniele Nantes-Sobrinho, Jorge A. Pérez:
Typed Non-determinism in Functional and Concurrent Calculi. 112-132

Interactive Theorem Proving

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Clemens Kupke, Fredrik Nordvall Forsberg, Sean Watters:
A Fresh Look at Commutativity: Free Algebraic Structures via Fresh Lists. 135-154
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  - conf/aplas/ForsterKM23
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Yannick Forster, Dominik Kirst, Niklas Mück:
Oracle Computability and Turing Reducibility in the Calculus of Inductive Constructions. 155-181
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Ayumu Saito, Reynald Affeldt:
Experimenting with an Intrinsically-Typed Probabilistic Programming Language in Coq. 182-202

Verification

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Jinhua Wu, Yuting Wang, Meng Sun, Xiangzhe Xu, Yichen Song:
Towards a Framework for Developing Verified Assemblers for the ELF Format. 205-224
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Kevin Kappelmann:
Transport via Partial Galois Connections and Equivalences. 225-245
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Ryo Ikeda, Ryosuke Sato, Naoki Kobayashi:
Argument Reduction of Constrained Horn Clauses Using Equality Constraints. 246-265

Static Analysis and Testing

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Wenhua Li, Quang Loc Le, Yahui Song, Wei-Ngan Chin:
Incorrectness Proofs for Object-Oriented Programs via Subclass Reflection. 269-289
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Kimball Germane:
m-CFA Exhibits Perfect Stack Precision. 290-309
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Qidong Su, Chuqin Geng, Gennady Pekhimenko, Xujie Si:
TorchProbe: Fuzzing Dynamic Deep Learning Compilers. 310-331

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