Black, Sue E. (1999) Measuring ripple effect for software maintenance. In: International Conference on Software Maintenance, 30 Aug - 03 Sep 1999, Oxford, UK.Full text not available from this repository.
The Halstead and McCabe metrics give us information about the complexity of individual modules but not about modules interacting with each other. The ripple effect metric relates directly to the maintainer's task, if a change is made in one part of a system what is the likelihood of this causing a knock-on effect in a different part of the system via parameter passing or global variables? This paper gives an introduction to software maintenance models, the part that impact analysis plays within these models and a description of the ripple effect measure. Yau and Collofello's ripple effect measure seems to be a promising approach, but can be prohibitively expensive to compute. We have an approximation which appears to be acceptably accurate.
|Item Type:||Conference or Workshop Item (Paper)|
|Subjects:||University of Westminster > Science and Technology > Electronics and Computer Science, School of (No longer in use)|
|Depositing User:||Miss Nina Watts|
|Date Deposited:||12 Jan 2010 12:40|
|Last Modified:||12 Jan 2010 12:40|
Actions (login required)
|Edit Item (Repository staff only)|