SEPAL是一个面向人机物融合应用感知决策双保障的运行平台,提供平台配套的统一编程框架,以方便开发者便捷开发此类应用并在运行时刻监控并从可信感知及决策两个角度保障应用运行质量。
This repo covers the implementation of the following ICSE 2020 paper, "DISSECTOR: Input Validation for Deep Learning Applications by Crossing-layer Dissection " (DISSECTOR).
SEPAL是一个面向人机物融合应用感知决策双保障的运行平台,提供平台配套的统一编程框架,以方便开发者便捷开发此类应用并在运行时刻监控并从可信感知及决策两个角度保障应用运行质量。
最近更新: 2个月前This is GEAS implementation (including GEAS-ori and GEAS-opt) for our TSE'21 paper.
最近更新: 7个月前This repo covers the implementation of the following ICSE 2020 paper, "DISSECTOR: Input Validation for Deep Learning Applications by Crossing-layer...
最近更新: 7个月前This is the artifact for our FSE paper "Automatically Resolving Dependency-Conflict Building Failures via Behavior-Consistent Loosening of Library...
最近更新: 7个月前