Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Systematically Empirical Evaluation of Vulnerability Discovery Models:
  a Study on Browsers' Vulnerabilities   A precise vulnerability discovery model (VDM) will provide a useful insight
to assess software security, and could be a good prediction instrument for both
software vendors and users to understand security trends and plan ahead
patching schedule accordingly. Thus far, several models have been proposed and
validated. Yet, no systematically independent validation by somebody other than
the author exists. Furthermore, there are a number of issues that might bias
previous studies in the field. In this work, we fill in the gap by introducing
an empirical methodology that systematically evaluates the performance of a VDM
in two aspects: quality and predictability. We further apply this methodology
to assess existing VDMs. The results show that some models should be rejected
outright, while some others might be adequate to capture the discovery process
of vulnerabilities. We also consider different usage scenarios of VDMs and find
that the simplest linear model is the most appropriate choice in terms of both
quality and predictability when browsers are young. Otherwise, logistics-based
models are better choices.

20
The categories of this paper are: acc-phys
14
The categories of this paper are: math-ph
19
The categories of this paper are: eess
33
The categories of this paper are: plasm-ph
32
The categories of this paper are: atom-ph
15
The categories of this paper are: nucl-ex
16
The categories of this paper are: stat
27
The categories of this paper are: comp-gas
7
The categories of this paper are: hep-th
2
The categories of this paper are: math
28
The categories of this paper are: alg-geom
29
The categories of this paper are: funct-an
6
The categories of this paper are: astro-ph
11
The categories of this paper are: hep-lat
24
The categories of this paper are: dg-ga
13
The categories of this paper are: quant-ph