Date of Award
1998
Document Type
Thesis
Publication Status
Version of Record
Submission Date
October 2026
Thesis/Dissertation Advisor [Chair]
Khoshgoftaar, Taghi M.
Abstract
Reliability of software systems is one of the major concerns in today's world as computers have really become an integral part of our lives. Society has become so dependent on reliable software systems that failures can be dangerous in terms of worsening a company's business, human relationships or affecting human lives. Software quality models are tools for focusing efforts to find faults early in the development. In this experiment, we used classification tree modeling techniques to predict the software quality by classifying program modules either as fault-prone or not fault-prone. We introduced the Classification And Regression Trees (scCART) algorithm as a tool to generate classification trees. We focused our experiments on very large telecommunications system to build quality models using set of product and process metrics as independent variables.
Extent
71 p.
Recommended Citation
Naik, Archana B., "Prediction of software quality using classification tree modeling" (1998). Electronic Theses and Dissertations 1990 - 1999. 1358.
https://digitalcommons.fau.edu/etd_general_4/1358
Identifier
FADT15600
Comments
College of Engineering and Computer Science|FAU Electronic Theses and Dissertations Collection|Thesis (M.S.)--Florida Atlantic University, 1998.|College of Engineering and Computer Science