What: We are developing a tool to track variables and their values in C programs as they change at runtime. Because of the low-level, unrestricted memory access the language allows, the challenge lies in collecting accurate information without disrupting the program’s execution. Our approach combines techniques from profiling with memory tracking to analyze dynamic allocation throughout the lifetime of a program.
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Python is an easy to learn, powerful programming language. It has efficient high-level data structures and a simple but effective approach to object-oriented programming. Python’s elegant syntax and dynamic typing, together with its interpreted nature, make it an ideal language for scripting and rapid application development in many areas on most platforms.
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The development of the Linux USB subsystem started in 1997 and in the meantime it was redesigned many times. This implied various changes of its internal structure and its API too. So it is even hard for experienced device driver developers to keep up to date with all ongoing discussions and current changes.
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With the rise of model-driven development, model repositories are intended to facilitate research in model engineering and consequently in domain-specific modeling. Model repositories are central places where all kinds of modeling artifacts (e.g., meta-metamodels, metamodels, models, and possibly transformation models) are stored and coordinated. They can serve as a platform for making available the specification of metamodels to others (typically necessary for domain-specific modeling languages) and for exchanging models, as well as a resource for teaching/learning materials.
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Java Server Faces (JSF) is a MVC (Model View Control) framework for (dynamic) Web-Pages. Facelets is using x-Html pages and Templates to replace JSP (Java Server Pages) for Java Server Faces. It completes the picture and creates a REAL MCV concept (One could use java code within JSP pages). This document tries to explain how JSF with Facelets works, and give a few short directions on how to get it to work. It will also cover how Web 2.0 can be used, and what this means for SVG (Scalable Vector Graphics). All Example-Code within this document is taken from the SVG-Paint Project.
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Under the term “Web 2.0” the Internet is currently going through a new growth phase where end users create content and communities are built for user interaction. One of these Web 2.0 services is Flickr, a photo-sharing platform that allows users to upload photos, tag, comment and add them to favourite lists and build a personal social network.
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RSS is an acronym that stands for Rich Site Summary, though it’s often alternatively defined as Really Simple Syndication. The simplest definition of RSS is an eXtensible Markup Language(XML) format that uses the Resource Description Framework (RDF) for representing information about resources on the World Wide Web. Similarly, Atom is another format based on XML technology.
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The Statistical Seismology Library (SSLib) is a collection of earthquake hypocentral catalogues and R functions to analyse the catalogues. The analyses include graphical data displays, fitting of point process models, estimation of fractal dimensions, and rou- tines to apply the M8 Algorithm to given datasets. The Statistical Seismology Library is written in the R language, and consist of a number of R packages. Each package has its own Users Manual that contains documentation for all functions within that package.
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