Usability Testing Methods

Testsweet is a unit testing tool to ensure that all tests in a project are being run, by either auto generating unit test suites at runtime, or ensuring that all tests in a project are included in a static suite at build time.

An approach to Java Unit Testing with TTCN3. The project shows a way of implementing Java calls (maintaining object state across them) and integrating them with a TTCN3 test suite. See http://sf.net/apps/trac/ttcn3java/wiki

Unit Testing Framework - XSLT (UTF-X) is a JUnit extension for testing XSLT stylesheets.


Platforms: Windows, Mac, Linux

A common way to create new compound widgets is to inherit Frame, create everything you need inside it and pack this base Frame on your application.This script is an alternative to this method, that sets geometry methods and options from a wiget to another.


Platforms: Windows, Mac, *nix, Python, BSD Solaris

Five methods for converting a signal to a binary representation. Methods outlined in Arthur Petrosian, "Kolmogorov Complexity of finite sequences and recognition of different preictal eeg patterns".Methods are:1. average method: sample assigned 1 if above the signal average2. modified zone...


Platforms: Matlab

This example using Matlab commands to access Simulink Signal properties to easily create a batch file that can log almost any Simulink signals. This is very useful for batch testing when the parameters in the Simulink model are set in a m-file. It helps to reduce the use of Save-To-Workspace blocks.


Platforms: Matlab

TPT offers unique and all-encompassing support for testing MATLAB/SimulinkdlT«/Stateflow- and TargetLinkdlT« models. The strengths of both systems can be used because of the perfectly tuned interface between TPT and MATLAB/Simulink. Functional models are created normally in...


Platforms: Matlab

% This function can be used to evaluate objectively the performance of binarization methods for document image.%% May 17th, 2010, By Reza Farrahi Moghaddam, Synchromedia Lab, ETS,% Montreal, Canada%% The implemented measures are as follows [1]:% Precision% Recall% Fmeasure (used as one of the...


Platforms: Matlab

Disclosed are methods to compute the precise value of the logarithm of a sum and the logarithm of a subtraction.A number of practical problems can result in having too big or small values in intermediate values of a calculation. Then one tries to take logarithm of these values and operate on...


Platforms: Matlab

In this paper i present my views on how to do systematic testing of SIMULINK models. The views present are from my own perspective based on my experience working with model based product development applications. I also provide information on some testing tools and other tips. Please let me know...


Platforms: Matlab

See paper "Minimum settling time control design through direct search methods" (preprint on http://arxiv.org/abs/1109.5966) by the same author.The settling time of a closed-loop response, depending on controller parameters, is an objective function not only non-smooth but actually discontinuous....


Platforms: Matlab

MatUnit is a unit testing framework for MATLAB. Much like it's Java counterpart JUnit, it allows the programmer to easily run many tests and report its results for MATLAB functions.-We want to be able to teach students how to test numerical software.- Many of them will have seen JUnit or similar...


Platforms: Matlab

Unit testing is great, but it can seem like overkill to make a whole new file for every test you want to run. Doctest allows you to embed tests in the documentation of your function (or class or method), so that they're in the same file as the code they test. They can also be valuable...


Platforms: Matlab

Active contour methods for image segmentation allow a contour to deform iteratively to partition an image into regions. Active contours are often implemented with level set methods because of their power and versatility. The primary drawback of level set methods is that they are slow to compute....


Platforms: Matlab

This code implements a new method for quantile inference based on theoretical work found here: http://econ.ucsd.edu/~dkaplan/personalResearch.htmlExtensive simulations (Section 6 of paper has some examples) have shown it to control size better than bootstrap ("BS") methods and the analytic Hall...


Platforms: Matlab

Monte Carlo methods have long been used in computational finance to solve problems where analytical solutions are not feasible or are difficult to formulate. However, these methods are computationally intensive making it challenging to implement and adopt. In the last decade, advances in...


Platforms: Matlab

Comparison analysis of numerical intergration methods, viz. trapezoid, Composite trapezoid, Simpson's Rule, Composite Simpson's rule, Mid-point Rule, Composite Mid-point Rule (scripts of all) taken from author's (Sulaymon L Eshkabilov) other submitted function files with above listed numeric...


Platforms: Matlab

Efficient and accurate computation of free baroclinic coastal-trapped waves, using pseudospectral methods, over general depth profiles for arbitrary vertical density profiles in horizontally semi-infinite domains.The methods are described in full in the accompanying paper:E.R. Johnson, J.T....


Platforms: Matlab

This program simulates a nonlinear dynamical system and estimates the hidden state using particle methods.The program compares the performance of 3 particle methods (particle filter, forward backward smoother (FBS),and Maximum A-Posterior Smoother (MAP).It computes the likelihood and MSE of each...


Platforms: Matlab

This is a complete unit testing framework in Matlab that includes test cases, test sets, automated collecting of complex test trees from the file system, automated parsing of tests to anable the user to just-write-tests, test fixtures, test callbacks, selectable and reimplementable test runners,...


Platforms: Matlab