| Projects on Google Code | Results 1 - 9 of 9 |
Territorial Self-organization Models [http://sites.google.com/site/materecos/]
Directed by Joaquim Ramos de Carvalho at the Centre for Informatics and Systems of the University of Coimbra [http://www.cisuc.uc.pt/]. The general aim of this project is to mix Computational Models, Geographic Inform...
==Description==
The *pointet* data structure is to be a template class designed to store within it a general number of points in any n-dimensional space.
Points are inserted in such a way where they are sorted by their proximity, allowing fast spacial queries.
Authors: Jeremy Y. Kaminski , Erez...
this is a Summer Project of School of Software, SJTU, 2009. This is a group of 4 guys. WE are Ben, Chaumet, Aron and J. In this project we are going to develop a program source tool to analyze the complexity of the source code.
AIMS:
# Produce *BEST POSSIBLE* implementation of algorithms.
# Collect free resources related to algorithms.
# Make readable and stand alone implementation available for study.
RefactorOften is a code analyzer that discovers code that needs to be refactored. It is packaged as a standalone tool and as a maven2 plugin.
More to come. Thesis started 11/2009
[http://complexitymap.com/img/banner-top.png]
!ComplexityMap is a tool for measuring and visualizing [http://complexitymap.com/doc/faq.html#gen.2 accidental complexity] in Java and J2EE/JEE applications.
It enables you to keep track of this accidental complexity (also known as '[http://complex...
software,
complexity,
java,
visualization,
metrics,
treemap,
technicaldebt,
quality,
accidentalcomplexity,
audit
Commandline program to analyze Borland Delphi's source code to provide information about the cyclomatic complexity, uses dependency tree and other factors.
This collection of libraries and utilities is designed to complement the existing GNU gcc system and aims to add additional methods of dynamic and static code analysis. This analysis is mainly aimed towards performance tuning, parallelization, and distributed computing.