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Learning Core Audio: A Hands-On Guide to Audio Programming for Mac and iOS
Introduction to Programming with Fortran: with coverage of Fortran 90, 95, 2003 and 77
Introduction to Programming with Fortran - with coverage of Fortran 90, 95, 2003 and 77
MATLAB - Modelling, Programming and Simulations
-MATLAB: Modelling, Programming and Simulations- ed. by Emilson Pereira Leite (Repost)
Introduction to Programming with Fortran: with coverage of Fortran 90, 95, 2003 and 77 [Repost]
An Introduction to Programming and Numerical Methods in MATLAB [Repost]
"MATLAB: Modelling, Programming and Simulations" ed. by Emilson Pereira Leite (Repost)
Programming Social Applications: Building Viral Experiences with OpenSocial, OAuth, OpenID, and Distributed Web... (repost)
MATLAB Programming for Engineers (2nd edition) [Repost]
Sriranga Veeraraghavan, "Sams Teach Yourself Shell Programming in 24 Hours" (Repost)
Programming Computer Vision with Python - Tools and algorithms for analyzing images
Matlab: A Practical Introduction to Programming and Problem Solving (2nd edition) [Repost]
ECOOP 2011 - Object-Oriented Programming
Mobile JavaScript Application Development - Bringing Web Programming to Mobile Devices [Paperback]
Concurrent Programming on Windows (repost)
Expert WSS 3.0 and MOSS 2007 Programming (repost)
Embedded Software Design and Programming of Multiprocessor System-on-Chip (repost)
OpenCV 2 Computer Vision Application Programming Cookbook
Programming Computer Vision with Python: Tools and algorithms for analyzing images
Introduction to Programming with Fortran: with coverage of Fortran 90, 95, 2003 and 77
Introduction to Programming with Fortran - with coverage of Fortran 90, 95, 2003 and 77
MATLAB - Modelling, Programming and Simulations
-MATLAB: Modelling, Programming and Simulations- ed. by Emilson Pereira Leite (Repost)
Introduction to Programming with Fortran: with coverage of Fortran 90, 95, 2003 and 77 [Repost]
An Introduction to Programming and Numerical Methods in MATLAB [Repost]
"MATLAB: Modelling, Programming and Simulations" ed. by Emilson Pereira Leite (Repost)
Programming Social Applications: Building Viral Experiences with OpenSocial, OAuth, OpenID, and Distributed Web... (repost)
MATLAB Programming for Engineers (2nd edition) [Repost]
Sriranga Veeraraghavan, "Sams Teach Yourself Shell Programming in 24 Hours" (Repost)
Programming Computer Vision with Python - Tools and algorithms for analyzing images
Matlab: A Practical Introduction to Programming and Problem Solving (2nd edition) [Repost]
ECOOP 2011 - Object-Oriented Programming
Mobile JavaScript Application Development - Bringing Web Programming to Mobile Devices [Paperback]
Concurrent Programming on Windows (repost)
Expert WSS 3.0 and MOSS 2007 Programming (repost)
Embedded Software Design and Programming of Multiprocessor System-on-Chip (repost)
OpenCV 2 Computer Vision Application Programming Cookbook
Programming Computer Vision with Python: Tools and algorithms for analyzing images
Useful Links
SAS.Certification Prep Guide Advanced Programming for SAS 9 Nov 2007 eBook-BBL
Posted on 2010-03-15
|
The type of the release is: eBook In the PDF format with ISBN: 1599945592 and Pub Date: November 30, 2007 The size of the release is: 03 disks x 2.88mb And released on: 05/09/2008 The service-oriented approach has become more and more popular, now allowing highly integrated and yet heterogeneous applications. Web services are the natural evolution of conventional middleware technologies to support Web-based and enterprise-level integration. The highly dynamic characteristics of service-oriented applications means their validation is a continuous process that often runs in parallel with execution. It is not possible to clearly distinguish between the predeployment validation of a system and its use, nor is it possible to guarantee that the checks passed at a certain time will be passed at a later time and in the actual execution environment as well. Baresi and Di Nitto have put together the first reference on all aspects of testing and validating service-oriented architectures, taking into account these inherent intricacies. The contributions by leading academic and industrial research groups are structured into four parts on: static analysis to acquire insight into how the system is supposed to work; testing techniques to sample its actual behavior; monitoring to probe its operational performance; and nonfunctional requirements like reliability and trust. This monograph is an initial source of knowledge for researchers in both academia and industry in the field of service-oriented architecture validation and verification approaches. They will find a comprehensive survey of state-of-the-art approaches as well as techniques and tools to improve the quality of service-oriented applications.
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