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Ahmad Dinkins

dblp:305/0962 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2021
—ORCID · none

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

Software engineering, systems software and programming languages · 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
Program synthesis and code generation · 44% Software testing · 44% Program analysis · 13%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Software testing
test generation
0.512021
Synthesizing contracts correct modulo a test generator · Proc. ACM Program. Lang. 2021
Program analysis
specification mining
0.112021
Synthesizing contracts correct modulo a test generator · Proc. ACM Program. Lang. 2021

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

tight contracts · 0.5online learning · 0.5
YearPublicationVenuePosition
2021 Synthesizing contracts correct modulo a test generator
abstract
We present an approach to learn contracts for object-oriented programs where guarantees of correctness of the contracts are made with respect to a test generator. Our contract synthesis approach is based on a novel notion of tight contracts and an online learning algorithm that works in tandem with a test generator to synthesize tight contracts. We implement our approach in a tool called Precis and evaluate it on a suite of programs written in C#, studying the safety and strength of the synthesized contracts, and compare them to those synthesized by Daikon.
Angello Astorga, Shambwaditya Saha, Ahmad Dinkins, Felicia Wang, P. Madhusudan, Tao Xie 0001
Proc. ACM Program. Lang.3