By Topic

Stochastic modeling and quality evaluation of component-based software systems

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Xia Yunni ; Sch. of EECS, Peking Univ., Beijing ; Wan Hanpin ; Huang Yu ; Xu Chunxiang

This paper proposes a novel analytical framework to evaluate the quality of component-based software systems. This approach uses CEG graph (which is capable of modeling sequential, parallel, selective and iterative composition patterns) to model the execution process of component-based software system. Based on a homogeneous continuous-time Markovian process, analytical methods to evaluate the make-span, cost and reliability of CEG (the graph of component execution) are developed. Through a case study, we show that our framework is capable of modeling real-world component-based software systems. Also, the comparison between analytical and Monte-Carlo simulative results indicates that our analytical model is consistent with simulation. The paper concludes with a comparison with related work

Published in:

Quality Software, 2006. QSIC 2006. Sixth International Conference on

Date of Conference:

27-28 Oct. 2006