GNU Octave is a high-level language, primarily intended for numerical computations. It provides a convenient command line interface for solving linear and nonlinear problems numerically, and for performing other numerical experiments using a language that is mostly compatible with Matlab.
Java applications are typically deployed in multiple environments and platforms, each requiring some unique configuration. JFig gives developers a simple yet powerful tool to manage their applications’ configuration. It allows them to:
1. Store application configuration in one common repository of XML files
2. Access configuration data using one common, convenient interface
3. Easily define multiple configurations, dynamically modifying those variables that need to change in different situations
4. Eliminate the error prone practice of defining the same configuration variables in multiple locations
5. Ease the management, deployment, and control of configuration files
jConfig is an extremely helpful utility, arming the developer with a simple API for the management of properties. Parts of the implementation are based on the idea that Properties, from Java's perspective, are a good thing, but can be better. jConfig employs the use of XML files for storing and retrieving of property information. The information can be stuffed into nice categories, which makes management quite a bit simpler. The ability to load from a URL is also a nice feature. It allows for a central repository where multiple instances of jConfig can read a single file. The nifty ability to
switch between XML and Properties files isn't fully exploited yet, but will be coming soon. That will mean that the developer would take their existing Properties files and export them to XML. That means less time to get up and get going with jConfig.
With jConfig we hope to have provided the developer with another powerful accessory for his or her's toolbox.
Simple is a high performance XML serialization and configuration framework for Java. Its goal is to provide an XML framework that enables rapid development of XML configuration and communication systems. This framework aids the development of XML systems with minimal effort and reduced errors. It offers full object serialization and deserialization, maintaining each reference encountered. In essence it is similar to C# XML serialization for the Java platform, but offers additional features for interception and manipulation.
At the end of this post is an audacious idea about the present and future of software development. In the middle are points about mental models: how important and how difficult they are. But first, a…
R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R can be considered as a different implementation of S. There are some important differences, but much code written for S runs unaltered under R. R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, ...) and graphical techniques, and is highly extensible. The S language is often the vehicle of choice for research in statistical methodology, and R provides an Open Source route to participation in that activity. One of R's strengths is the ease with which well-designed publication-quality plots can be produced, including mathematical symbols and formulae where needed. Great care has been taken over the defaults for the minor design choices in graphics, but the user retains full control. R is available as Free Software under the terms of the Free Software Foundation's GNU General Public License in source code form. It compiles and runs on a wide variety of UNIX platforms and similar systems (including FreeBSD and Linux), Windows and MacOS.
D. Lucrédio, R. de M. Fortes, E. de Almeida, und S. Meira. High Confidence Software Reuse in Large Systems, Volume 5030 von Lecture Notes in Computer Science, Springer, Berlin / Heidelberg, (2008)