[2605.19652] Characterizing Real-World Bugs in Tile Programs for Automated Bug Detection

-->

Computer Science > Software Engineering

arXiv:2605.19652 (cs)

[Submitted on 19 May 2026]

Title:Characterizing Real-World Bugs in Tile Programs for Automated Bug Detection

Authors:Ravishka Rathnasuriya, Zihe Song, Nidhi Majoju, Aaryaa Moharir, Tingxi Li, Wei Yang, Tao Xie<br>View a PDF of the paper titled Characterizing Real-World Bugs in Tile Programs for Automated Bug Detection, by Ravishka Rathnasuriya and 6 other authors

View PDF<br>HTML (experimental)

Abstract:Tile-based programming frameworks are increasingly adopted to write high-performance GPU kernels in domains such as deep learning and scientific computing. While these frameworks enhance productivity and hardware utilization, their multi-stage compilation pipelines introduce distinct code generation bugs that are tightly coupled to input shapes, data types, and backend targets. These bugs often manifest as silent correctness or performance issues, making them difficult to detect using existing compiler testing tools. Additionally, the unique programming conventions of tile domain-specific languages complicate root cause identification, while fixing such bugs demands specialized knowledge of tile abstractions and compilation pipelines. Despite the growing adoption of tile-based systems, their code generation bugs remain largely unexplored. This paper presents the first systematic study of tile-program code generation bugs. We curate 401 bug reports from GitHub and identify 301 tile-program codegen bugs for analysis, categorizing the root causes, symptoms, input patterns, test oracles that trigger these bugs, and the strategies used to fix bugs. Our study provides foundational insights for building debugging, testing, and repair tools tailored to tile-based compiler infrastructures.

Comments:<br>In Proceedings of the 35th ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA 2026)

Subjects:

Software Engineering (cs.SE)

Cite as:<br>arXiv:2605.19652 [cs.SE]

(or<br>arXiv:2605.19652v1 [cs.SE] for this version)

https://doi.org/10.48550/arXiv.2605.19652

Focus to learn more

arXiv-issued DOI via DataCite

Submission history<br>From: Ravishka Rathnasuriya [view email]<br>[v1]<br>Tue, 19 May 2026 10:42:29 UTC (250 KB)

Full-text links:<br>Access Paper:

View a PDF of the paper titled Characterizing Real-World Bugs in Tile Programs for Automated Bug Detection, by Ravishka Rathnasuriya and 6 other authors<br>View PDF<br>HTML (experimental)<br>TeX Source

view license

Current browse context:

cs.SE

next >

new<br>recent<br>| 2026-05

Change to browse by:

cs

References & Citations

NASA ADS<br>Google Scholar

Semantic Scholar

export BibTeX citation<br>Loading...

BibTeX formatted citation

&times;

loading...

Data provided by:

Bookmark

Bibliographic Tools

Bibliographic and Citation Tools

Bibliographic Explorer Toggle

Bibliographic Explorer (What is the Explorer?)

Connected Papers Toggle

Connected Papers (What is Connected Papers?)

Litmaps Toggle

Litmaps (What is Litmaps?)

scite.ai Toggle

scite Smart Citations (What are Smart Citations?)

Code, Data, Media

Code, Data and Media Associated with this Article

alphaXiv Toggle

alphaXiv (What is alphaXiv?)

Links to Code Toggle

CatalyzeX Code Finder for Papers (What is CatalyzeX?)

DagsHub Toggle

DagsHub (What is DagsHub?)

GotitPub Toggle

Gotit.pub (What is GotitPub?)

Huggingface Toggle

Hugging Face (What is Huggingface?)

ScienceCast Toggle

ScienceCast (What is ScienceCast?)

Demos

Demos

Replicate Toggle

Replicate (What is Replicate?)

Spaces Toggle

Hugging Face Spaces (What is Spaces?)

Spaces Toggle

TXYZ.AI (What is TXYZ.AI?)

Related Papers

Recommenders and Search Tools

Link to Influence Flower

Influence Flower (What are Influence Flowers?)

Core recommender toggle

CORE Recommender (What is CORE?)

Author

Venue

Institution

Topic

About arXivLabs

arXivLabs: experimental projects with community collaborators

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.

Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.

Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs .

Which authors of this paper are endorsers? |<br>Disable MathJax (What is MathJax?)