Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data.

Suraj Guptha

dblp:299/8737 · DBLP profile ↗
← Back
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
Software testing · 87% Software maintenance and evolution · 13%

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

TopicWeightPapersLastEvidence papers
Software testing
regression testing
0.512021
Data-driven test selection at scale · ESEC/SIGSOFT FSE 2021
Software testing › regression testing
test selection
0.512021
Data-driven test selection at scale · ESEC/SIGSOFT FSE 2021
Software maintenance and evolution › release engineering
continuous integration
0.112021
Data-driven test selection at scale · ESEC/SIGSOFT FSE 2021

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

test selection models · 0.5
YearPublicationVenuePosition
2021 Data-driven test selection at scale
abstract
Large-scale services depend on Continuous Integration/Continuous Deployment (CI/CD) processes to maintain their agility and code-quality. Change-based testing plays an important role in finding bugs, but testing after every change is prohibitively expensive at a scale where thousands of changes are committed every hour. Test selection models deal with this issue by running a subset of tests for every change.
Sonu Mehta, Farima Farmahinifarahani, Ranjita Bhagwan, Suraj Guptha, Sina Jafari, Rahul Kumar 0002, Vaibhav Saini, Anirudh Santhiar
ESEC/SIGSOFT FSE4