Wednesday, November 23, 2011

Automating iOS Application Testing: Under the Hood, Capturing and Recording Events

Stu Stern post on drdobbs.com
"Recording UI events for playback means filtering thousands of data points and condensing them into a single action. With iOS, this can be done with swizziling and other unusual language features of Objective-C."


Read more on drdobbs.com

Tuesday, November 15, 2011

Dr Dobb's - Fast XML Parsing in Ruby

Sometimes the fastest way to parse a known XML stream is to write your own lean parser. Even in Ruby, this gives remarkable performance benefits.


Most programming languages have their own XML parser libraries. And many of those use the DOM (Document Object Model) API. DOM is good for general-purpose XML processing: The input is parsed into a tree structure that can be modified and written back out. Often whitespace is preserved so the output is identical to the input if it is not modified. This generality comes at a cost: large memory requirements (often more than double the input size) and slow read and write. For applications that read the XML data for only specific pieces of information, there are better alternatives.


Full post on Dr Dobb's

Thursday, November 3, 2011

Creating a Business Intelligence Culture

From http://www.itbusinessedge.com the last  Ann All post
"For some time now there's been a lot of buzz about companies getting business intelligence into the hands of more users, with the aim of getting the right information to the right people at the right time (or words to that effect). The conventional wisdom: Companies are limiting the potential usefulness of BI by making it available only to specialists, who create reports from centralized data and make those reports available only to select decision makers. 
Not everyone agrees with this, of course..."

New Case Studies for jAPS 2.0 Entando

Some examples about how partners, organizations and governments are using jAPS 2.0 Entando platform:

Matt Casters on Data Integration » Data Modeling

Very Interesting post from Matt Casters about  data modeling
Read it