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Case study

DOAX3 Fortune PC: porting Dead or Alive Xtreme 3 Fortune to Windows

DOAX3 Fortune PC adapts Dead or Alive Xtreme 3 Fortune version 01.19 for Windows x64. Its inherited native runtime executes the game's x86-64 guest code, while a shadPS4-derived graphics core translates GPU commands and shaders to Vulkan. The author reports tested routes through the title, casino and several activities, with partial coverage of volleyball and Pool Hopping.

Targets
Game
Category
Independent reconstruction cases
Relationship
Independent reconstruction project
Sources reviewed
Evidence class
C1 partial scope or analysis entry
Stars
16
Last commit
2026-10-27
Language
C++
License (GitHub)
GPL-2.0

GitHub data as of 2026-11-10

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Evidence

Demo screenshot from the project's public documentation
Observed
Download and demo observed; the case covers part of the target software.
Scope
Partial
Checked
2026-11-09

How evidence classes are assigned

Requirements & limits

  • Prerequisites: Windows x64, Python 3.11+, MSYS2 CLANG64 and a Vulkan driver.
  • Prerequisites: User-supplied extracted CUSA04555 base game, matching 01.19 update and three named system modules.
  • Limits: Volleyball and Pool Hopping have partial gameplay coverage; broader scenes and effects remain under development.
  • License: GPL-2.0 license for the main source; dependency and bridge notices remain in their own files.

Cite

BibTeX

@misc{doax3-fortune-pc-case,
  title = {{DOAX3 Fortune PC: porting Dead or Alive Xtreme 3 Fortune to Windows}},
  howpublished = {\url{https://github.com/negroISO/doax3-fortune-pc}},
  url = {https://github.com/negroISO/doax3-fortune-pc},
  urldate = {2026-11-06},
  note = {Awesome REA entry: \url{https://awesomerea.org/resources/doax3-fortune-pc-case/}}
}

Plain text

DOAX3 Fortune PC: porting Dead or Alive Xtreme 3 Fortune to Windows. https://github.com/negroISO/doax3-fortune-pc (accessed 2026-11-06). Awesome REA entry: https://awesomerea.org/resources/doax3-fortune-pc-case/

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About this entry

The description was reviewed against primary sources.

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Primary sources

  1. README.md GitHub · negroISO/doax3-fortune-pc · Revision 2d2307d
  2. source/README.md GitHub · negroISO/doax3-fortune-pc · Revision 2d2307d

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