Posted by cadsmith on December 4, 2010
The internet has public resources for improving community wealth. Tools for datamining and code metrics include cmetrics, FLOSSmole, FLOSSMetrics. and SLOCCount.Award for software testing and debugging: 1, 2, and 3. Utilities assist scenario forecasting. Kurzweil’s futurist performance was graded. AI is used for sports betting. Security adds computational forensics. SocialSci is a science research network. Engineering addresses world problems. Trees have been added to google earth engine. Digital evolution arrives at fireflies. News stream made from bitly links. CreateSpace self-publishes media. Irish expats have a social network. Comicspipeline.com shows arts in progress. Veterinarian designs prostheses. Phylo is a genomic game. Video discusses bioliberation. There were twenty-eight recent links.
An effect of a good model is to define the terminology and to automate analysis. The control and data flow are often similar to classical code-driven processes, but may be easier to handle since formats are less difference. The book has four sections for eighteen chapters from fifty authors. They discuss quality evaluation and improvement for specific domains. UML was an early instance; peer review was a quality method. New developments are shown for embedded systems, automotive, service engineering and infrared telescope. Some of these have used Matlab/Simulink/TargetLink. Metrics include matrices for maintainability, reusability, portability, efficiency and performance, for example. The book describes case studies. Models are inspected for completeness, consistency, traceability, and correctness. Empirical testing is still used to characterize system implementations.
Making Software, Oram and Wilson, 2010
This is a set of scholarly research papers which is interesting for, not only the results, but also the methods and the places under study. There are two parts on general principles and specific topics by forty-five authors. The table of contents shows the titles and subjects for thirty chapters, each of which also has a list of references. Part of the book’s implicit knowledge comes from how the authors answered their questions as well as how they present the evidence. The question becomes how to measure and improve these skills in other organizations and on a more continuous basis. The most common areas of interest are productivity metrics and measurement. These are shown for different software development process models and code bases. They also look at the limitations of education. There are some new concepts such as socio-technical congruence as a measure of coordination.
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