PriCod: Prioritizing Test Inputs for Compressed Deep Neural Networks

LI, Yinghua; DANG, Xueqi; KLEIN, Jacques; Le Traon, Yves; BISSYANDE, Tegawendé

doi:10.1145/3730435

Download

Article (Scientific journals)

PriCod: Prioritizing Test Inputs for Compressed Deep Neural Networks

LI, Yinghua; DANG, Xueqi; KLEIN, Jacques et al.

2025 • In ACM Transactions on Software Engineering and Methodology

Peer Reviewed verified by ORBi

Permalink
https://hdl.handle.net/10993/66107

DOI
10.1145/3730435

Files (1)Send to Details Statistics Bibliography Similar publications

Files

Full Text

PriCod.pdf

Author postprint (2 MB)

Download

All documents in ORBilu are protected by a user license.

Send to

RIS BibTex APA Chicago Permalink X Linkedin

Details

Disciplines :

Computer science

Author, co-author :

LI, Yinghua ; University of Luxembourg

DANG, Xueqi ; University of Luxembourg

KLEIN, Jacques ; University of Luxembourg

Le Traon, Yves ; University of Luxembourg, Luxembourg

BISSYANDE, Tegawendé ; University of Luxembourg

External co-authors :

Language :

English

Title :

PriCod: Prioritizing Test Inputs for Compressed Deep Neural Networks

Publication date :

18 April 2025

Journal title :

ACM Transactions on Software Engineering and Methodology

ISSN :

1049-331X

Publisher :

Association for Computing Machinery (ACM), United States

Peer reviewed :

Peer Reviewed verified by ORBi

Additional URL :

https://dl.acm.org/doi/pdf/10.1145/3730435

European Projects :

H2020 - 949014 - NATURAL - Natural Program Repair

Funders :

CE - Commission Européenne
European Union

Available on ORBilu :

since 23 October 2025

Statistics

Number of views

26 (1 by Unilu)

Number of downloads

8 (0 by Unilu)

More statistics

OpenCitations

OpenAlex citations