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L. Williams

17 papers hereh-index 7017.2k citations389 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author5
  • last author12

Across the 17 of 17 papers where every author was matched, so the position is known.

fields
  • cs.SE13
  • cs.CR4
same name
  • L. Williams — 112 papers, h 30
  • L. Williams — 61 papers, h 34
  • L. Williams — 19 papers
  • L. Williams — 12 papers, h 5
  • L. Williams — 10 papers, h 43
  • L. Williams — 7 papers, h 9

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182022
most citedWhere Are The Gaps? A Systematic Mapping Study of Infrastructure as Code Research

170 citations · 564 across the 17 of their papers we have counts for

collaborators
Showing 2018Show all

4 papers · 1 filter

cs.SE2018★ 54 cited

Source Code Properties of Defective Infrastructure as Code Scripts

Akond Rahman, Laurie Williams

Context: In continuous deployment, software and services are rapidly deployed to end-users using an automated deployment pipeline. Defects in infrastructure as code (IaC) scripts c…

cs.SE2018★ 2 cited

Bugs in Infrastructure as Code

Akond Rahman, Sarah Elder, Faysal Hossain Shezan +3

Infrastructure as code (IaC) scripts are used to automate the maintenance and configuration of software development and deployment infrastructure. IaC scripts can be complex in nat…

cs.SE2018★ 170 cited

Where Are The Gaps? A Systematic Mapping Study of Infrastructure as Code Research

Akond Rahman, Rezvan Mahdavi-Hezaveh, Laurie Williams

Context:Infrastructure as code (IaC) is the practice to automatically configure system dependencies and to provision local and remote instances. Practitioners consider IaC as a fun…

cs.SE2018★ 47 cited

Improving Vulnerability Inspection Efficiency Using Active Learning

Zhe Yu, Christopher Theisen, Laurie Williams +1

Software engineers can find vulnerabilities with less effort if they are directed towards code that might contain more vulnerabilities. HARMLESS is an incremental support vector ma…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.