Date of Award
2001
Document Type
Thesis
Publication Status
Version of Record
Submission Date
October 2026
Thesis/Dissertation Advisor [Chair]
Khoshgoftaar, Taghi M.
Abstract
Managers of software development need to know which components of a system are fault-prone. If this can be determined early in the development cycle then resources can be more effectively allocated and significant costs can be reduced. Case-Based Reasoning (CBR) is a simple and efficient methodology for building software quality models that can provide early information to managers. Our research focuses on two case studies. The first study analyzes source files and classifies them as fault-prone or not fault-prone. It also predicts the number of faults in each file. The second study analyzes the fault removal process, and creates models that predict the outcome of software inspections.
Extent
106 p.
Recommended Citation
Lim, Linda., "Developing accurate software quality models using a faster, easier, and cheaper method" (2001). Electronic Theses and Dissertations 2000 - 2009. 194.
https://digitalcommons.fau.edu/etd_general_5/194
Identifier
FADT12746
Comments
College of Engineering and Computer Science|FAU Electronic Theses and Dissertations Collection|Thesis (M.S.)--Florida Atlantic University, 2001.|College of Engineering and Computer Science