Visible to the public Predicting the Difficulty of Compromise through How Attackers Discover VulnerabilitiesConflict Detection Enabled

Submitted by nzahan on Sat, 06/18/2022 - 9:44pm

PI(s), Co-PI(s), Researchers:

PI: Andrew Meneely; Co-PI: Laurie Williams; Researchers: Ben Meyers and Nasif Imtiaz

HARD PROBLEM(S) ADDRESSED
This refers to Hard Problems, released November 2012.

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PUBLICATIONS
Papers were written as a result of your research from the current quarter only.

KEY HIGHLIGHTS

  • We conducted a systematic literature review of 53 research studies about human errors in software engineering. This study will help software engineers identify and confront their human errors by creating a taxonomy of human errors in software engineering.


Each effort should submit one or two specific highlights. Each item should include a paragraph or two along with a citation if available. Write as if for the general reader of IEEE S&P.
The purpose of the highlights is to give our immediate sponsors a body of evidence that the funding they are providing (in the framework of the SoS lablet model) is delivering results that "more than justify" the investment they are making.

COMMUNITY ENGAGEMENT

EDUCATIONAL ADVANCES:

  • None.
Groups: