Search Results for "source testing unit testing"

FORTRAN Unit Test Framework, written in FORTRAN 95. So that all FORTRAN features can be tested. FRUIT has assertion, fixture, setup, teardown, report, spec, driver generation. Rake used as build tool. Tutorials at http://fortranxunit.wiki.sourceforge.net The core testing part is in FORTRAN, this part can be used independent of the Ruby codes.

libcrn is document image processing library written in C++11 for Linux, Windows, Mac OsX and Google Android. It is a toolbox that allows to create easily software such as OCRs and layout analysis tools.

...The SMP can be used in different application areas as snow profiling (avalanche forecasting, snow stratigraphy, remote sensing ground truth), ski track characterization (ski racing) or snow runway characterization (stability testing).

Handwritten Signature SDK supports: dynamic time wrapping (DTW), extended regression (ER), signature sampling, direction hash and features extraction: see wiki for more info.

The Semantic Application Design Language (SADL) expresses domain knowledge as semantic models and rules. The SADL-IDE (integrated development environment) is an Eclipse plug-ins for editing SADL, converting to OWL, and testing using Jena or Pellet.

Highly efficient Data Generator for Benchmarks and Algorithm Performance Analysis. Supports fully configurable schemata as well as meta structures like Foreign Keys and Functional Dependencies.

This is an automatic spike detection program which takes account of probe geometry and produces a .mask file to be used with the new masked version of KlustaKwik. We recommend you use Python 2.6 or 2.7, e.g. a free academic version can be obtained from Entthought Python. The input files for SpiKeDeteKt are: .dat (raw data file) .probe (probe file, described below - user constructed) parameters.py (optional - otherwise it uses defaultparameters.py) SpiKeDeteKt outputs...

Open Metaheuristic (oMetah) is a library aimed at the conception and the rigourous testing of metaheuristics (i.e. genetic algorithms, simulated annealing, ...). The code design is separated in components : algorithms, problems and a test report generator

This software allows for a user to generate test data. This is useful for testing Hadoop or other data processing clusters.

TextMarker is now developed and hosted at Apache UIMA (http://uima.apache.org/textmarker.html). TextMarker is a UIMA-based tool for information extraction and more. The full featured editor of the rule language and the build process of UIMA descriptors are complemented with components for visualization, explanation, testing and rule learning.

Siafu simulates individual agents and their context, from home to city-wide scenarios. As a developer, you use the API to write your simulation for the purposes of data-set generation, test or visualization, optionally hooking it to your own application.

Methods and testing of methods for automatic analysis of in situ cyclic voltammetry data. This, at least initially, is the code from my masters thesis, which was done as a contribution to a larger project called Aevum. Aevum is being developed at t

Datamixer generates mock data values for various datatypes, including integer, floating precision, datetime, and string. It can generate complex sequences, based on functions and permutations of the basic data series.

This Java project creates a testing environment application to analyze an image at its low level features and suggest tags to clasify it using an ontology search based on the tags of similar images.

This command-line tool will help people who want to compare 2 csv-like files, and get a detailed report on which rows and fields differ between both files. An awk-based version and Perl Version is currently available.

FormatCheck screens flat files looking for violations in the format of the data. It uses a set of XML files that define the rules for each file format. The Swing front-end allows the user to run the verification, view and print the errors.

Probe Deeper PHP will provide class libraries for simple and advanced statistical analyses, including multiple regression, forecasting, hypotheses testing, etc.

The Open Log Engine is a powerful tool for advanced logging in games or programs. It easily allows you to make logging outputs in your program and analyse them afterwards with the Open Log Viewer, which provides you a powerful filtering system.