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Renzo Degiovanni
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2020 – today
- 2024
- [j7]Agustín Nolasco
, Facundo Molina
Abstraction-Aware Inference of Metamorphic Relations. Proc. ACM Softw. Eng. 1(FSE): 450-472 (2024) - [c20]Luiz Carvalho
SpecBCFuzz: Fuzzing LTL Solvers with Boundary Conditions. ICSE 2024: 123:1-123:13 - [c19]Aayush Garg, Renzo Degiovanni, Mike Papadakis, Yves Le Traon:
On the Coupling between Vulnerabilities and LLM-Generated Mutants: A Study on Vul4J Dataset. ICST 2024: 305-316 - [i12]Michael Konstantinou, Renzo Degiovanni, Mike Papadakis:
Do LLMs generate test oracles that capture the actual or the expected program behaviour? CoRR abs/2410.21136 (2024) - 2023
- [j6]Milos Ojdanic
Mutation Testing in Evolving Systems: Studying the Relevance of Mutants to Code Evolution. ACM Trans. Softw. Eng. Methodol. 32(1): 14:1-14:39 (2023) - [j5]Aayush Garg
Cerebro: Static Subsuming Mutant Selection. IEEE Trans. Software Eng. 49(1): 24-43 (2023) - [j4]Milos Ojdanic
Syntactic Versus Semantic Similarity of Artificial and Real Faults in Mutation Testing Studies. IEEE Trans. Software Eng. 49(7): 3922-3938 (2023) - [c18]Milos Ojdanic, Ahmed Khanfir, Aayush Garg
On Comparing Mutation Testing Tools through Learning-based Mutant Selection. AST 2023: 35-46 - [c17]Luiz Carvalho, Renzo Degiovanni, Matías Brizzio
ACoRe: Automated Goal-Conflict Resolution. FASE 2023: 3-25 - [c16]Matías Brizzio
Automated Repair of Unrealisable LTL Specifications Guided by Model Counting. GECCO 2023: 1499-1507 - [c15]Aayush Garg
Enabling Efficient Assertion Inference. ISSRE 2023: 623-634 - [i11]Ahmed Khanfir, Renzo Degiovanni, Mike Papadakis, Yves Le Traon:
Efficient Mutation Testing via Pre-Trained Language Models. CoRR abs/2301.03543 (2023) - [i10]Aayush Garg
Assertion Inferring Mutants. CoRR abs/2301.12284 (2023) - [i9]Renzo Degiovanni, Facundo Molina, Agustín Nolasco
Specification Inference for Evolving Systems. CoRR abs/2301.12403 (2023) - [i8]Aayush Garg
Vulnerability Mimicking Mutants. CoRR abs/2303.04247 (2023) - [i7]Luiz Carvalho, Renzo Degiovanni, Matías Brizzio, Maxime Cordy, Nazareno Aguirre, Yves Le Traon, Mike Papadakis:
ACoRe: Automated Goal-Conflict Resolution. CoRR abs/2303.05213 (2023) - 2022
- [j3]Aayush Garg
Learning from what we know: How to perform vulnerability prediction using noisy historical data. Empir. Softw. Eng. 27(7): 169 (2022) - [c14]Renzo Degiovanni
µBert: Mutation Testing using Pre-Trained Language Models. ICST Workshops 2022: 160-169 - [i6]Renzo Degiovanni, Mike Papadakis
μBERT: Mutation Testing using Pre-Trained Language Models. CoRR abs/2203.03289 (2022) - 2021
- [i5]Matías Brizzio, Renzo Degiovanni, Maxime Cordy, Mike Papadakis, Nazareno Aguirre:
Automated Repair of Unrealisable LTL Specifications Guided by Model Counting. CoRR abs/2105.12595 (2021) - [i4]Aayush Garg, Milos Ojdanic, Renzo Degiovanni, Thierry Titcheu Chekam, Mike Papadakis, Yves Le Traon:
Cerebro: Static Subsuming Mutant Selection. CoRR abs/2112.14151 (2021) - [i3]Milos Ojdanic, Aayush Garg, Ahmed Khanfir, Renzo Degiovanni, Mike Papadakis, Yves Le Traon:
Syntactic Vs. Semantic similarity of Artificial and Real Faults in Mutation Testing Studies. CoRR abs/2112.14508 (2021) - [i2]Milos Ojdanic, Ezekiel O. Soremekun, Renzo Degiovanni, Mike Papadakis, Yves Le Traon:
Mutation Testing in Evolving Systems: Studying the relevance of mutants to code evolution. CoRR abs/2112.14566 (2021) - 2020
- [i1]Aayush Garg, Renzo Degiovanni, Matthieu Jimenez, Maxime Cordy, Mike Papadakis, Yves Le Traon:
Learning To Predict Vulnerabilities From Vulnerability-Fixes: A Machine Translation Approach. CoRR abs/2012.11701 (2020)
2010 – 2019
- 2019
- [j2]Facundo Molina
An evolutionary approach to translating operational specifications into declarative specifications. Sci. Comput. Program. 181: 47-63 (2019) - [c13]Facundo Molina
Training binary classifiers as data structure invariants. ICSE 2019: 759-770 - 2018
- [j1]Renzo Degiovanni
Improving lazy abstraction for SCR specifications through constraint relaxation. Softw. Test. Verification Reliab. 28(2) (2018) - [c12]Facundo Molina
From operational to declarative specifications using a genetic algorithm. SBST@ICSE 2018: 39-42 - [c11]Renzo Degiovanni
Goal-conflict likelihood assessment based on model counting. ICSE 2018: 1125-1135 - [c10]Renzo Degiovanni
A genetic algorithm for goal-conflict identification. ASE 2018: 520-531 - 2017
- [c9]Luciano Zemín, Simón Gutiérrez Brida
An Analysis of the Suitability of Test-Based Patch Acceptance Criteria. SBST@ICSE 2017: 14-20 - [c8]Germán Regis, Renzo Degiovanni
CLTSA: labelled transition system analyser with counting fluent support. ESEC/SIGSOFT FSE 2017: 979-983 - 2016
- [c7]Renzo Degiovanni
Goal-conflict detection based on temporal satisfiability checking. ASE 2016: 507-518 - [c6]Facundo Molina
An Evolutionary Approach to Translate Operational Specifications into Declarative Specifications. SBMF 2016: 145-160 - 2015
- [c5]Germán Regis, Renzo Degiovanni
Specifying Event-Based Systems with a Counting Fluent Temporal Logic. ICSE (1) 2015: 733-743 - 2014
- [c4]Renzo Degiovanni
Automated goal operationalisation based on interpolation and SAT solving. ICSE 2014: 129-139 - 2013
- [c3]Gastón Scilingo, María Marta Novaira, Renzo Degiovanni
Analyzing formal requirements specifications using an off-the-shelf model checker. CLEI 2013: 1-9 - [c2]Gastón Scilingo, María Marta Novaira, Renzo Degiovanni
Analyzing Behavioural Scenarios over Tabular Specifications Using Model Checking. LAFM 2013: 71-76 - 2011
- [c1]Renzo Degiovanni, Pablo Ponzio, Nazareno Aguirre, Marcelo F. Frias:
Abstraction Based Automated Test Generation from Formal Tabular Requirements Specifications. TAP@TOOLS 2011: 84-101
Coauthor Index
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last updated on 2024-12-10 20:49 CET by the dblp team
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