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Tim Menzies

4 papers here

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

author position
  • first author1
  • middle author2
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.SE4
ORCID 0000-0002-5040-3196
same name
  • Tim Menzies — 1 paper

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

most citedTuning for Software Analytics: is it Really Necessary?

218 citations · 261 across the 4 of their papers we have counts for

collaborators

4 papers

cs.SE2022★ 1 cited

Do I really need all this work to find vulnerabilities? An empirical case study comparing vulnerability detection techniques on a Java application

Sarah Elder, Nusrat Zahan, Rui Shu +4

CONTEXT: Applying vulnerability detection techniques is one of many tasks using the limited resources of a software project. OBJECTIVE: The goal of this research is to assist manag…

cs.SE2016★ 9 cited

Negative Results for Software Effort Estimation

Tim Menzies, Ye Yang, George Mathew +2

Context:More than half the literature on software effort estimation (SEE) focuses on comparisons of new estimation methods. Surprisingly, there are no studies comparing state of th…

cs.SE2016★ 218 cited

Tuning for Software Analytics: is it Really Necessary?

Wei Fu, Tim Menzies, Xipeng Shen

Context: Data miners have been widely used in software engineering to, say, generate defect predictors from static code measures. Such static code defect predictors perform well co…

cs.SE2016★ 33 cited

Why is Differential Evolution Better than Grid Search for Tuning Defect Predictors?

Wei Fu, Vivek Nair, Tim Menzies

Context: One of the black arts of data mining is learning the magic parameters which control the learners. In software analytics, at least for defect prediction, several methods, l…

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