Work

$\mu \text{PRL}$: A Mutation Testing Pipeline for Deep Reinforcement Learning Based on Real Faults

Year: 2025

Type: conference-paper

Source: IEEE/ACM International Conference on Software Engineering (ICSE)

DOI: 10.1109/icse55347.2025.00036

Authors: Deepak-George Thomas, Matteo Biagiola, Nargiz Humbatova, Mohammad Wardat, Gunel Jahangirova, Hridesh Rajan, Paolo Tonella

Institutions: Iowa State University, Università della Svizzera italiana, Oakland University, King's College London, Tulane University

Language: English

Topic: Software Testing and Debugging Techniques

Subfield: Software

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funder: National Science Foundation

Award: Track 1: ACCESS Resource Allocations Marketplace and Platform Services (RAMPS)

OpenAlex ID: W4411552887

FWCI: 4.005

Cites: 53

Cited by: 5

Related to: 10