Muhammad Hassan (University of Illinois Urbana Champaign), Carl Gunter (University of Illinois Urbana Champaign), Susan Landau (Tufts University), Masooda Bashir (University of Illinois Urbana Champaign)

Matter seeks to resolve long-standing interoper-ability problems in the Internet of Things (IoT), yet little is known about how developers experience the standard in day-to-day work. This paper examines over 13,000 issues from the official Project CHIP GitHub repository to understand the kinds of problems contributors report when implementing and integrating Matter. Using topic modeling and qualitative analysis, we identify four recurring areas of concern—Testing, Interoperability, Development, and Platform & Network—and describe how they manifest in the evolution of the codebase and tooling. The findings reveal systematic technical and integration challenges and point to concrete opportunities to refine Matter’s test infrastructure, cross-vendor guidance, and documentation as the standard continues to mature.

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Pithayuth Charnsethikul (University of Southern California), Anushka Fattepurkar (University of Southern California), Dipsy Desai (University of Southern California), Gale Lucas (University of Southern California), Jelena Mirkovic (University of Southern California)

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Yukina Okazawa (Toho University), Akira Kanaoka (Toho University), Takumi Yamamoto (Mitsubishi Electric Corporation)

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Haohuang Wen (The Ohio State University and SE-RAN.ai), Vinod Yegneswaran (SRI and SE-RAN.ai), Phillip Porras (SRI and SE-RAN.ai), Ashish Gehani (SRI and SE-RAN.ai), Prakhar Sharma (SRI and SE-RAN.ai), Zhiqiang Lin (The Ohio State University and SE-RAN.ai)

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