Author

Srinath Perera

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#edge computing Preprint Sep 2026

TripleBound: Triplet-Guided Heterogeneous Graph Learning for Microservice Decomposition

TripleBound is proposed, a hybrid framework for automated monolith-to-microservices decomposition that augments a heterogeneous graph neural network with weakly supervised triplet constraints derived from parser-inferred service groups based on package structure, naming conventions, and code location.

M. Weerasinghe, Himindu Kularathne, Methmini Madhushika et al. · 0 citations

Preprint Jul 2026

Selective Left-Shift: Turning Test-Time Compute and Difficulty-based Curation into Training Data for Low-Resource Code Generation

This work proposes a three-phase pipeline that resolves this trilemma by decoupling syntax acquisition from algorithmic reasoning and applies Reinforcement Learning with Verifiable Reward~(RLVR) grounded by language-agnostic Input/Output tests.

D. Samaraweera, Anjana Supun, Srinath Perera · 0 citations