Renzo Degiovanni

About Renzo Degiovanni

Renzo Degiovanni, With an exceptional h-index of 11 and a recent h-index of 10 (since 2020), a distinguished researcher at Université du Luxembourg, specializes in the field of Software Engineering, Software Testing, Requirements Engineering.

His recent articles reflect a diverse array of research interests and contributions to the field:

SpecBCFuzz: Fuzzing LTL Solvers with Boundary Conditions

Abstraction-Aware Inference of Metamorphic Relations

Automated repair of unrealisable LTL specifications guided by model counting

Syntactic vs. semantic similarity of artificial and real faults in mutation testing studies

On comparing mutation testing tools through learning-based mutant selection

Vulnerability Mimicking Mutants

Mutation testing in evolving systems: Studying the relevance of mutants to code evolution

Specification Inference for Evolving Systems

Renzo Degiovanni Information

University

Position

SnT

Citations(all)

249

Citations(since 2020)

210

Cited By

76

hIndex(all)

11

hIndex(since 2020)

10

i10Index(all)

11

i10Index(since 2020)

10

Email

University Profile Page

Google Scholar

Renzo Degiovanni Skills & Research Interests

Software Engineering

Software Testing

Requirements Engineering

Top articles of Renzo Degiovanni

SpecBCFuzz: Fuzzing LTL Solvers with Boundary Conditions

2024/4/12

Abstraction-Aware Inference of Metamorphic Relations

2024

Automated repair of unrealisable LTL specifications guided by model counting

2023/7/15

Syntactic vs. semantic similarity of artificial and real faults in mutation testing studies

IEEE Transactions on Software Engineering

2023/5/26

On comparing mutation testing tools through learning-based mutant selection

2023/5/15

Vulnerability Mimicking Mutants

arXiv preprint arXiv:2303.04247

2023/3/7

Mutation testing in evolving systems: Studying the relevance of mutants to code evolution

ACM Transactions on Software Engineering and Methodology

2023/2/13

Specification Inference for Evolving Systems

arXiv preprint arXiv:2301.12403

2023/1/29

Efficient mutation testing via pre-trained language models

arXiv preprint arXiv:2301.03543

2023/1/9

ACoRe: automated goal-conflict resolution

26th International Conference on Fundamental Approaches to Software Engineering (FASE)

2023

Learning from what we know: How to perform vulnerability prediction using noisy historical data

Empirical Software Engineering

2022/12

µbert: Mutation testing using pre-trained language models

2022/4/4

Renzo Degiovanni
Renzo Degiovanni

H-Index: 5

Mike Papadakis
Mike Papadakis

H-Index: 31

Cerebro: Static subsuming mutant selection

IEEE Transactions on Software Engineering

2022/1/11

See List of Professors in Renzo Degiovanni University(Université du Luxembourg)