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Aditya Senthilnathan

dblp:330/8747 · DBLP profile ↗
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3ranked-venue papers
0as first author
3since 2021 · last 2024
—ORCID · none

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

Software engineering, systems software and programming languages · 3 · 3 since 2021Theory of computation · 1 · 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
Software maintenance and evolution · 77% Program analysis · 23%

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

TopicWeightPapersLastEvidence papers
Software maintenance and evolution › software dependencies › software dependency management
dependency update
0.612022
UPGRADVISOR: Early Adopting Dependency Updates Using Hybrid Program Analysis and Hardware Tracing · OSDI 2022
Program analysis
dynamic analysis
0.212022
UPGRADVISOR: Early Adopting Dependency Updates Using Hybrid Program Analysis and Hardware Tracing · OSDI 2022

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

program analysis · 0.6hardware tracing · 0.6
YearPublicationVenuePosition
2024 Leveraging LLMs for Program Verification
Adharsh Kamath, J. Nausheen Mohammed, Aditya Senthilnathan, Saikat Chakraborty 0001, Pantazis Deligiannis, Shuvendu K. Lahiri, Akash Lal, Aseem Rastogi, Subhajit Roy 0001, Rahul Sharma 0001
FMCAD3
2023 Industrial-Strength Controlled Concurrency Testing for sc C tt # Programs with sc Coyote
abstract
Abstract This paper describes the design and implementation of the open-source tool $$\textsc {Coyote} $$ for testing concurrent programs written in the $$\textsc {C}{} \texttt {\#} $$ language. $$\textsc {Coyote} $$ provides algorithmic capabilities to explore the state-space of interleavings of a concurrent program, with deterministic repro for any bug that it finds. $$\textsc {Coyote} $$ encapsulates multiple ideas from the research community to offer state-of-the-art testing for $$\textsc {C}{} \texttt {\#} $$ programs, as well as an efficiently engineered implementation that has been shown robust enough to support industrial use.
Pantazis Deligiannis, Aditya Senthilnathan, Fahad Nayyar, Chris Lovett, Akash Lal
TACAS (2)2
2022 UPGRADVISOR: Early Adopting Dependency Updates Using Hybrid Program Analysis and Hardware Tracing
Yaniv David, Xudong Sun 0019, Raphael J. Sofaer, Aditya Senthilnathan, Zhiqiang Zuo 0002, Guoqing Harry Xu, Jason Nieh, Ronghui Gu
OSDI4