SensA: Sensitivity Analysis for Quantitative Impact Prediction

SensA, whose original name comes from "sensitivity analysis", is a tool that instruments and monitors the location of a prospective change in a Java program, and then reports the impacted statements and probability ranking. What's more, it is based on java byte-codes, rather than the source codes.


The SensA tool is used to dynamically detect the impacts of an unspecified change of a variable at a given location. This document describes primarily the usage of SensA and some of its algorithmic details, and in particular, the evaluation results of the underlying technique with this tool. All of these contents are divided into the following sections:

How SensA works

Downloads of SensA

SensA Evaluation Results

Generated on 3 Dec 2014 for SensA by  doxygen 1.6.1