| Projects on Google Code | Results 1 - 10 of 40 |
Software developers use testing to raise confidence in the correctness of a software system. Automated reduction and prioritization techniques attempt to decrease the time required to detect faults during test suite execution. This package uses the Harrold Gupta Soffa, delayed greedy, traditional gr...
= Introduction =
We all work with Legacy Code (code without tests) from time to time. The lack of regression serious impedes our confidence to make even small changes, let alone restructuring it.
The standard tools and techniques for unit testing are not very effective at building regression t...
Gelations is a research prototype system for regression test suite prioritization using genetic algorithms. This system is written entirely in version 1.6 of the Java SE programming language, and is accompanied by its own regression test suite written using the JUnit unit testing framework.
Softw...
testing,
regression,
genetic,
java,
junit,
R,
evolutionary,
metaheuristic,
softwareengineering,
prioritization,
geneticalgorithm
Parametric cost estimating essentially consists in deriving mathematical expressions relating cost with a number of significant cost drivers.
*Parametric cost models* are representation of parametric cost estimating relationships that provides a logical and predictable correlation between the phy...
The basic idea is to provide a simple set of primitives for logging functions and method calls at an API boundary, and then taking those logs and executing them to do regression tests.
The project is currently self contained, but could probably be shrunk dramatically if it were to use boost inste...
In statistics, linear regression is used for two things;
* to construct a simple formula that will predict a value or values for a variable given the value of another variable.
* to test whether and how a given variable is related to another variable or variables.
Linear regre...
This project aims to simplify functional and regression testing using Selenium, dbUnit, Maven and other open source projects.
BOXER is a Java library for online anytime machine learning of polytomous logistic regression models. The BOXER (standing, more or less, for Bayesian Online EXtensible Regression) library supports online, anytime fitting of polytomous logistic regression models, as well as their use as multiclass cl...
For now the ambitions of this project is limited to automating the execution of InstrumentationTestRunner as a means of regression testing.
Proper documentation, examples, tutorial, etc. to follow. All such examples will be intimately linked with my first Android game, Dual N-Back (http://code.g...
==Description:==
This package contains functions to fit PLS and GPLS models and additional diagnostic elements such as specific summaries, graphical representations, etc ... These functions are partly based on the functions proposed in the packages 'pls' and 'gpls'. However, the functions 'plsone' ...