CCE Theses and Dissertations
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The Effects of Concern Crosscutting Homogeneity on the Evolvability of Aspect Oriented Software
Date of Award
Dissertation - NSU Access Only
Doctor of Philosophy in Computer Information Systems (DCIS)
Graduate School of Computer and Information Sciences
Aspect oriented programming is a relatively new programming paradigm aimed at improving the development of software through a mechanism that allows for crosscutting concerns to be better modularized. Such concern crosscutting is an element of software artifacts that affects one or more quality attributes and ultimately the ability of software to evolve to meet new functional requirements, or to take advantage of new hardware, or meet new business rules. The aim of this dissertation was to explore the relationship between the degree of crosscutting present in a software artifact and its evolvability. This research study illustrates the correlation between the homogeneity of a program's features and its ability to evolve. Throughout the study, such correlation was drawn from a three pronged approach, first by looking at measuring how invasive code changes are, second by identifying a measurable evolvability indicator, and third by using such indicator to propose changes in program constructs that can enhance or improve the evolvability of it. This study proposed the use of existing concern crosscutting metrics to measure invasiveness of code changes and the variability of such measurements to infer a measurable evolvability indicator. Through this approach a number of contributions were made to the body on knowledge, first the creation of a way to quantify evolvability of Aspect Oriented programmed software, and secondly, a way of identifying parts of an Aspect Oriented artifact that can contribute to the deterioration of the system by hindering its evolvability.
Hernan Londono. 2013. The Effects of Concern Crosscutting Homogeneity on the Evolvability of Aspect Oriented Software. Doctoral dissertation. Nova Southeastern University. Retrieved from NSUWorks, Graduate School of Computer and Information Sciences. (220)