1 citations · 2 across the 6 of their papers we have counts for
6 papers
CornerCase: Automated Extremal Testing of Protocol Implementations using LLMs
Rathin Singha, Kuan Qian, Srinath Saikrishnan +6
Many software bugs in network protocol implementations arise near specification boundaries, such as inputs just within or outside allowed ranges, or messages that are valid in isol…
A Performance Analyzer for a Public Cloud's ML-Augmented VM Allocator
Roozbeh Bostandoost, Pooria Namyar, Siva Kesava Reddy Kakarla +8
Cloud operators increasingly deploy multiple ML models in their VM allocation pipelines. In such settings, individually benign predictions can shift and compound, severely degradin…
Extremal Testing for Network Software using LLMs
Rathin Singha, Harry Qian, Srinath Saikrishnan +4
Physicists often manually consider extreme cases when testing a theory. In this paper, we show how to automate extremal testing of network software using LLMs in two steps: first,…
Towards Safer Heuristics With XPlain
Pantea Karimi, Solal Pirelli, Siva Kesava Reddy Kakarla +5
Many problems that cloud operators solve are computationally expensive, and operators often use heuristic algorithms (that are faster and scale better than optimal) to solve them m…
Eywa: Automating Model Based Testing using LLMs
Rajdeep Mondal, Rathin Singha, Todd Millstein +3
Model-based testing (MBT), whereby a model of the system under test is analyzed to generate high-coverage test cases, has been used to test protocol implementations. A key barrier…
Finding Adversarial Inputs for Heuristics using Multi-level Optimization
Pooria Namyar, Behnaz Arzani, Ryan Beckett +5
Production systems use heuristics because they are faster or scale better than their optimal counterparts. Yet, practitioners are often unaware of the performance gap between a heu…