Predicting Vulnerabilities in the Free Open Source Software Ecosystem

Honors College Thesis

Público Deposited

Baixar PDF

Citeable URL: https://ir.library.oregonstate.edu/concern/honors_college_theses/d791sj15v

Descriptions

Attribute Name	Values
Creator	Phillips, Elsie
Abstract	Due to the interdependent nature of Free Open Source Software projects, a vulnerability in just one highly used project can have significant and sweeping consequences across many projects, and can inflict hundreds of millions of dollars in damage. This paper proposes a model for predicting software vulnerabilities in highly used FOSS projects using measures of effort and complexity. We used several measures of complexity and effort to look at the top 150 projects listed on the Debian Popularity Contest. We determined that total development effort was the best measure of effort and lines of code was the best measure of complexity for predicting software vulnerabilities in these projects. Key Words: Open Source, FOSS, Vulnerabilities
Resource Type	Honors College Thesis
Date Available	2016-06-02T15:01:43+00:00
Date Issued	2016-05-13
Degree Level	Bachelor's
Degree Name	Honors Bachelor of Science (H.B.S.)
Degree Field	Economics
Degree Grantor	Oregon State University
Commencement Year	2016
Advisor	Jensen, Carlos
Non-Academic Affiliation	Oregon State University. Honors College
Declaração de direitos	In Copyright
Publisher	Oregon State University
Peer Reviewed	No
Language	English [eng]
Replaces	http://hdl.handle.net/1957/59029

Parents:

This work has no parents.

Em Collection:

Miniatura	Título	Data de carga	Acesso	Ações
	PhillipsElsieM2016.pdf	2017-07-29	Público	Baixar