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Found 5 papers, 2 papers with code
Learning-based sensing and computing decision for data freshness in edge computing-enabled networks
In this paper, we propose the sensing and computing decision (SCD) algorithms for data freshness in the EC-enabled wireless sensor networks.
DexBERT: Effective, Task-Agnostic and Fine-grained Representation Learning of Android Bytecode
Central to applying ML to software artifacts (like source or executable code) is converting them into forms suitable for learning.
IA-MARL: Imputation Assisted Multi-Agent Reinforcement Learning for Missing Training Data
Recently, multi-agent reinforcement learning (MARL) adopts the centralized training with decentralized execution (CTDE) framework that trains agents using the data from all agents at a centralized server while each agent takes an action from its observation.
iFixR: Bug Report driven Program Repair
Towards increasing the adoption of patch generation tools by practitioners, we investigate a new repair pipeline, iFixR, driven by bug reports: (1) bug reports are fed to an IR-based fault localizer; (2) patches are generated from fix patterns and validated via regression testing; (3) a prioritized list of generated patches is proposed to developers.
Software Engineering
Watch out for This Commit! A Study of Influential Software Changes
One single code change can significantly influence a wide range of software systems and their users.
Software Engineering
