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Daniel Erhabor

dblp:347/2042 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2025
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Software engineering, systems software and programming languages · 1 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Software engineering, system software, and programming languages
1 paper
Empirical software engineering · 50% Program synthesis and code generation · 50%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Program synthesis and code generation
code generation with language models
0.912025
Measuring the Runtime Performance of C++ Code Written by Humans Using Github Copilot · ICSE 2025
Empirical software engineering
developer studies
0.912025
Measuring the Runtime Performance of C++ Code Written by Humans Using Github Copilot · ICSE 2025

Methods — techniques the papers use, named apart from their topics

user study · 0.9statistical significance testing · 0.9
YearPublicationVenuePosition
2025 Measuring the Runtime Performance of C++ Code Written by Humans Using Github Copilot
abstract
GitHub Copilot is an artificially intelligent programming assistant used by many developers. While a few studies have evaluated the security risks of using Copilot, there has not been any study to show if it aids developers in producing code with better runtime performance. We evaluate the runtime performance of C++ code produced when developers use GitHub Copilot versus when they do not. To this end, we conducted a user study with 32 participants where each participant solved two C++ programming problems, one with Copilot and the other without it and measured the runtime performance of the participants' solutions on our test data. Our results suggest that using Copilot may produce$\mathbf{C + +}$code with (statistically significant) slower runtime performance.
Daniel Erhabor, Sreeharsha Udayashankar, Meiyappan Nagappan, Samer Al-Kiswany
ICSE1