Stability assessment of evolving industrial object-oriented frameworks
Journal of Software Maintenance: Research and Practice
Change impact analysis for object-oriented programs
PASTE '01 Proceedings of the 2001 ACM SIGPLAN-SIGSOFT workshop on Program analysis for software tools and engineering
Computing ripple effect for software maintenance
Journal of Software Maintenance: Research and Practice
Fundamentals of Web Applications Using .NET and XML
Fundamentals of Web Applications Using .NET and XML
On Architectural Stability and Evolution
Ada-Europe '02 Proceedings of the 7th Ada-Europe International Conference on Reliable Software Technologies
Predicting Software Stability Using Case-Based Reasoning
Proceedings of the 17th IEEE international conference on Automated software engineering
Algorithmic Analysis of the Impacts of Changes to Object-Oriented Software
TOOLS '00 Proceedings of the Technology of Object-Oriented Languages and Systems (TOOLS 34'00)
Investigation of Metrics for Object-Oriented Design Logical Stability
CSMR '03 Proceedings of the Seventh European Conference on Software Maintenance and Reengineering
Indicators of Structural Stability of Object-Oriented Designs: A Case Study
SEW '05 Proceedings of the 29th Annual IEEE/NASA on Software Engineering Workshop
Ripple effect in object oriented programs
Journal of Computational Methods in Sciences and Engineering - Selected papers from the International Conference on Computer Science, Software Engineering, Information Technology, e-Business, and Applications, 2004
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The number of internet web applications is rapidly increasing in a variety of fields and not much work has been done for ensuring their quality, especially after modification. Modifying any part of a web application may affect other parts. If the stability of a web application is poor, then the impact of modification will be costly in terms of maintenance and testing. Ripple effect is a measure of the structural stability of source code upon changing a part of the code, which provides an assessment of how much a local modification in the web application may affect other parts. Limited work has been published on computing the ripple effect for web application. In this paper, the authors propose, a technique for computing ripple effect in web applications. This technique is based on direct-change impact analysis and dependence analysis for web applications developed in the.Net environment. Also, a complexity metric is proposed to be included in computing the ripple effect in web applications.