Jump to content
Main menu
Main menu
move to sidebar
hide
Navigation
Main page
Recent changes
Random page
freem
Search
Search
Appearance
Create account
Log in
Personal tools
Create account
Log in
Pages for logged out editors
learn more
Contributions
Talk
Editing
Openai/690e5821-e2c8-8007-a5a4-e71fe35fb0ce
(section)
Add languages
Page
Discussion
English
Read
Edit
Edit source
View history
Tools
Tools
move to sidebar
hide
Actions
Read
Edit
Edit source
View history
General
What links here
Related changes
Special pages
Page information
Appearance
move to sidebar
hide
Warning:
You are not logged in. Your IP address will be publicly visible if you make any edits. If you
log in
or
create an account
, your edits will be attributed to your username, along with other benefits.
Anti-spam check. Do
not
fill this in!
==== Given your background (software diagnostics, tooling, pattern-oriented frameworks) this alignment is beneficial: ==== * The article provides a validated real-world anchor: the specific categories (CArtefacts, CProblemPatterns, CAnalysisPatterns) are concrete instantiations of the categorical ideas. So your PCT framework can reuse or reference those categories as domain-specific examples. * PCT can generalise and elevate the earlier article’s work to a broader meta-framework: you can treat the software-diagnostics article as a case study within the PCT universe. * For publishing purposes, you could cite the article as “Categorical Foundations of Software Diagnostics” (i.e., from dumpanalysis.org) and show how PCT builds on/extends it. * When designing diagrams and formal definitions in your paper or docx, you can include a section titled something like “Relation to Existing Work”, where you map the article’s three categories to your PCT objects/functors, showing concretely: - Objects in CArtefacts → patterns of artefacts in PCT domain. - Functor FAnalysisPattern → a functor in PCT mapping artefact patterns → problem patterns. - 2-category of generalising arrows → higher-category structure in PCT.
Summary:
Please note that all contributions to freem are considered to be released under the Creative Commons Attribution-ShareAlike 4.0 (see
Freem:Copyrights
for details). If you do not want your writing to be edited mercilessly and redistributed at will, then do not submit it here.
You are also promising us that you wrote this yourself, or copied it from a public domain or similar free resource.
Do not submit copyrighted work without permission!
Cancel
Editing help
(opens in new window)