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Manushree Vijayvergiya

dblp:349/4711 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2023
0009-0006-3957-5399ORCID · reported

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 · 100%

Topics — the 1 heaviest of 1, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Software testing
mutation testing
0.712023
MuRS: Mutant Ranking and Suppression using Identifier Templates · ESEC/SIGSOFT FSE 2023
YearPublicationVenuePosition
2023 MuRS: Mutant Ranking and Suppression using Identifier Templates
abstract
Diff-based mutation testing is a mutation testing approach that only mutates lines affected by a code change under review. This approach scales independently of the code-base size and introduces test goals (mutants) that are directly relevant to an engineer’s goal such as fixing a bug, adding a new feature, or refactoring existing functionality. Google’s mutation testing service integrates diff-based mutation testing into the code review process and continuously gathers developer feedback on mutants surfaced during code review. To enhance the developer experience, the mutation testing service uses a number of manually-written rules that suppress not-useful mutants—mutants that have consistently received negative developer feedback. However, while effective, manually implementing suppression rules requires significant engineering time.
Zimin Chen, Malgorzata Salawa, Manushree Vijayvergiya, Goran Petrovic, Marko Ivankovic, René Just
ESEC/SIGSOFT FSE3