Date of Award
1-1-2019
Document Type
Thesis
Degree Name
M.S.
Department
Computer Science
First Advisor
Anneliese Andrews, Ph.D.
Second Advisor
Scott Leutenegger, Ph.D.
Third Advisor
Michael Keables, Ph.D.
Keywords
Evaluation, Gaps, Quality, Software testing, Systematic mapping study, Techniques
Abstract
Software testing techniques are crucial for detecting faults in software and reducing the risk of using it. As such, it is important that we have a good understanding of how to evaluate these techniques for their efficiency, scalability, applicability, and effectiveness at finding faults. This thesis enhances our understanding of testing technique evaluations by providing an overview of the state of the art in research. To accomplish this we utilize a systematic mapping study; structuring the field and identifying research gaps and publication trends. We then present a small case study demonstrating how our mapping study can be used to assist researchers in evaluating their own software testing techniques. We find that a majority of evaluations are empirical evaluations in the form of case studies and experiments, most of these evaluations are of low quality based on proper methodology guidelines, and that relatively few papers in the field discuss how testing techniques should be evaluated.
Publication Statement
Copyright is held by the author. User is responsible for all copyright compliance.
Recommended Citation
Mayeda, Mitchell, "Evaluating Software Testing Techniques: A Systematic Mapping Study" (2019). Electronic Theses and Dissertations. 1599.
https://digitalcommons.du.edu/etd/1599
Provenance
Received from ProQuest
Rights holder
Mitchell Mayeda
File size
141 p.
Copyright date
2019
File format
application/pdf
Language
en
Discipline
Computer science