Alternatives to Understand for Windows, Linux, Mac, Self-Hosted, Web and more. Filter by license to discover only free or Open Source alternatives. This list contains a total of 8 apps similar to Understand. List updated: 5/24/2019 7:46:00 PM. Scitools.com: Understand is a customisable integrated development environment (IDE) that enables static code analysis through an array of visuals, documentation, and metric tools. It was built to help software developers comprehend, maintain, and document their source code. It enables code comprehension by providing flow charts of relationships. Posted October 26, 2015 at 1:22 pm by Heidi & filed under Build Notes. (Build b807) – 23 Oct 2015. Updated MISRA 2008 rule 8-0-1 and All Check script.

• Helios Scitools
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1. Scientific Toolworks Understand is a static analysis tool for maintaining, measuring, & analyzing critical or large code bases. From metrics as well as graphs to reliance analysis, Master your source code with Understand.
2. Looking at a few of the entities in this call graph, we expand the ‘cmpf’, ‘makef’, and ‘dthtab’ calls and see the potential calls available, noting that the function pointer calls are signified with the red dotted lines. Here is the same graph available in Understand 4.0 prior to the function pointer support.

Understand is a customisable integrated development environment (IDE) that enables static code analysis through an array of visuals, documentation, and metric tools.^[2] It was built to help software developers comprehend, maintain, and document their source code. It enables code comprehension by providing flow charts of relationships and building a dictionary of variables and procedures from a provided source code.^[3]

Features[edit]

In addition to functioning as an integrated development environment, Understand provides tools for metrics and reports, standards testing, documentation, searching, graphing, and code knowledge. It is capable of analyzing projects with millions of lines of code and works with code bases written in multiple languages.^[4] Developed originally for Ada, it now supports development in several common programming languages.^[5] Integration with the Eclipse development environment is also supported.

Applications[edit]

Understand has been used globally for government, commercial, and academic use. It is used in many different industries to both analyze and develop software. Specific uses include a variety of applications: code validation for embedded systems,^[3] software litigation consulting,^[6] reverse engineering and documentation,^[7] and source code change analysis.^[8]

And one of them is the use of devices. Wifi software for windows 10. Here is what you should do. Download a BlueStacks installer from the official website or use our download button to give you a copy of the installer. The most popular of those emulators is the.

References[edit]

1. ^https://scitools.com/download-2/
2. ^Dragomir, Mircea (1 December 2015). 'Understand'. Softpedia.com. Softpedia. Retrieved 7 December 2015.
3. ^ ^abMartin, George (March 2011). 'The Project-Ready Designer'. No. 248. Circuit Cellar. p. 57. Retrieved 8 December 2015.Cite magazine requires magazine= (help)
4. ^Adkins, Francis; Jones, Luke (24 April 2015). 'Machine Assisted Semantic Understanding'(PDF). INSuRE. Northeastern University. Retrieved 4 December 2015.
5. ^Richard, Brett (24 May 2013). 'Source Code Analyzers as a Development Tool'. Flurry.com. Yahoo Developer Tools. Retrieved 7 December 2015.
6. ^Loren, Lydia; Johnson-Laird, Andy. 'Computer Software-Related Litigation'(PDF). FCLR.org. Federal Courts Law Review. Retrieved 7 December 2015.
7. ^Phillips, Michael; Mok, Amy. 'Spacecraft Flight Software Design Pattern Discovery'(PDF). Johns Hopkins Applied Physics Laboratory. Lockheed Martin Corporation. Retrieved 7 December 2015.
8. ^Eshow, Michelle (1 June 2014). 'RTMA Source Code Change Analysis'(PDF). Aviation Systems Division. NASA. Retrieved 7 December 2015.

External links[edit]

SciTools is a Python package containing many useful tools for scientificcomputing in Python. The package is built on top of other widely usedpackages such as NumPy, SciPy, ScientificPython, Matlotlib, Gnuplot,VisIt, etc.

SciTools only strict requirements are Python v2.7 (http://python.org)and Numerical Python (http://numpy.org). Some functionality requiresSciPy (http://scipy.org/). Plotting requires a plotting package, e.g.,Matplotlib, Gnuplot, VisIt, or similar.

There are several different ways of installing SciTools.

Anaconda.If you have Anaconda, SciTools is available as a conda package:

conda install --channel johannr scitools

Normal install ([, .. ] means optional).First check out the scitools package from GitHub:https://github.com/hplgit/scitools. Then go to the scitoolsdirectory and run

This install makes SciTools use Matplotlib as plotting engine, if aa working Matplotlib is found. Otherwise Gnuplot is used (which requiresboth the Gnuplot program in C and the Python interface Gnuplot.py tobe installed). If neither Matplotlib nor Gnuplot is found, Matplotlibis still used as default plotting engine. (The rest of SciTools willwork well, of course.)

Installing Matplotlib is easy on most platforms: just download thetarball, pack it out, and run python setup.py install.

You can explicitly specify the desired plotting engine on the command line,using the --easyviz_backend option:

Helios Scitools

The default plotting engine is specified in the file scitools.cfg in thescitools package directory, and the --easyviz_backend option leads toan automatic edit of the 'backend' line in the [easyviz] section ofthat configuration file.

Don't edit the scitools.cfg file manually before installation (usethe --easyviz_backend option) because setup.py will override youredits of the easyviz backend. However, all other edits of theconfiguration file can be edited. For example, the Matplotlib GUIis set to TkAgg (i.e., using Tkinter, which is standard in mostPython installations). The GUI can be set to other values, such asQt4Agg (provided you have Qt4 and a Python interface to it).

After SciTools is installed, you may edit the installed version ofscitools.cfg, or (better) have your own .scitools.cfg file in yourhome directory.

Setuptools using eggs.First build the egg with the following command

The --easyviz_backend option can be used, as described above, tochange the default plotting engine.

Then install the created egg using easy_install

(Version numbers of SciTools and Python in this filename may vary.)

Debian/Ubuntu packages.If you have Debian, or a Debian based platform like Ubuntu, you can do

as SciTools is now a part of Debian.NOTE: The Debian packages are often old - it is better to relyon checking out the repo and running setup.py.

The behavior of many parts of SciTools and in particular thesubpackage Easyviz (for plotting) can be controlled in a configurationfile. Please read the subsection 'Setting Parameters in theConfiguration File' under the section 'Advanced Easyviz Topics' in theEasyviz tutorial (pydoc scitools.easyviz will show the tutorial). Inparticular, if you use Matplotlib as the default plotting engine, youmay want to turn on the use of LaTeX for rendering legends, titles,and numbers. By default, LaTeX is turned off when SciTools isinstalled. It is easy to change this by locating the scitools.cfg filein the folder where the SciTools package is installed and edit theline with text.usetex in the [matplotlib] section of this file. Abetter solution is to copy the system scitools.cfg file to.scitools.cfg in your home folder and edit that file. You can alsochange the GUI used by Matplotlib. Users who do not apply Matplotlibfor plotting will seldom need to edit the configuration file.

SciTools is licensed under the new BSD license, see the LICENSE file.

Lumpy.py and Gui.py are licensed under GPL, however, permission isgranted by Allen Downey to include these under a BSD license.

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SciTools was initially mainly developed by Hans Petter Langtangenhpl@simula.no for his book 'Python Scripting for ComputationalScience' (Springer, 1st edition 2003, 3rd edition 2009).The Easyviz package was mainly developed by Johannes H. Ringjohannr@simula.no. Johannes H. Ring has been the principalmaintainer of SciTools. The package was extended for thebook 'A Primer on Scientific Programming with Python', bu H. P. Langtangen,4th edition, Springer, 2014.

Some modules included in SciTools are written by others:

• Allen B. Downey downey@allendowney.com wrote Lumpy.py and Gui.py
• Imri Goldberg lorgandon@gmail.com wrote aplotter.py
• Fred L. Drake, Jr. fdrake@acm.org wrote pprint2.py
• Gael Varoquaux gael.varoquaux@normalesup.org wrote pyreport

Code contributors include:

Scitools Understand License Search

• Rolv E. Bredesen rolveb@simula.no
• Joachim B. Haga jobh@simula.no
• Mario Pernici Mario.Pernici@mi.infn.it
• Ilmar Wilbers ilmarw@simula.no
• Arve Knudsen arvenk@simula.no