Masters Theses
Abstract
"Impact analysis is seen as an important technique for controlling the evolution of software systems. The assessment of impact of change approach helps us to determine the scope of the change to be incorporated during the maintenance phase and provides us with a quantitative measurement of the system's maintainability. The fundamental process of maintenance is changing of source code. Changing of source code, naturally, is also important in other late phases of actual system development. The problems with effectively handling large source code load are usually more severe in the maintenance phase. Software change is the basic building block of software evolution, and problems of software evolution can be solved by research on software change. There is a need to develop tools, and techniques for solving the problems posed by unexpected changes and also address the issues of ultra-fast software evolution. Many tools and techniques for addressing software maintenance problems rely on information from the source code. Despite the importance of code information in various analyses, in our search of the literature we find no specific studies, which numerically examine the impact of software evolution on source code. Therefore, a new approach is explored by designing a model to trace the impact of change. An algorithm is developed to implement the model. Test cases are designed to validate the model. The model predicts potential impact of change on a software system, which can be used to forecast and control the cost of software maintenance"-- Abstract p. iii
Advisor(s)
Xia, Franck
Committee Member(s)
Liu, Xiaoqing Frank
Dagli, Cihan H., 1949-
Department(s)
Computer Science
Degree Name
M.S. in Computer Science
Publisher
University of Missouri--Rolla
Publication Date
Summer 2004
Pagination
vii, 62 pages
Note about bibliography
Includes bibliographical references (pages 59-60)
Rights
© 2004 Praveen Srikanth, All rights reserved.
Document Type
Thesis - Restricted Access
File Type
text
Language
English
Subject Headings
Computer software -- Evaluation
Thesis Number
T 8605
Print OCLC #
58469900
Recommended Citation
Srikanth, Praveen, "Predicting effect of impact of change for software maintenance" (2004). Masters Theses. 2650.
https://scholarsmine.mst.edu/masters_theses/2650
Share My Thesis If you are the author of this work and would like to grant permission to make it openly accessible to all, please click the button above.
