Mutating code annotations: An empirical evaluation on Java and C# programs-Reference-Cited by-同舟云学术

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Mutating code annotations: An empirical evaluation on Java and C# programs

Published:2020-06 Issue: Volume:191 Page:102418
ISSN:0167-6423
Container-title:Science of Computer Programming
language:en
Short-container-title:Science of Computer Programming

Author:

Pinheiro Pedro,Viana José Carlos,Ribeiro Márcio^ORCID,Fernandes Leo,Ferrari Fabiano,Gheyi Rohit,Fonseca Baldoino

Funder

CNPq

CAPES

FAPESP

Publisher

Elsevier BV

Subject

Software

Reference50 articles.

1. Mutation analysis;Acree,1979

2. Design of mutant operators for the C programming language;Agrawal,1989

3. Mutation operators for preprocessor-based variability;Al-Hajjaji,2016

4. Establishing theoretical minimal sets of mutants;Ammann,2014

5. Is mutation an appropriate tool for testing experiments?;Andrews,2005

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1. Understanding and Detecting Annotation-Induced Faults of Static Analyzers;Proceedings of the ACM on Software Engineering;2024-07-12

2. FrMi: Fault-revealing Mutant Identification using killability severity;Information and Software Technology;2023-12

3. Code annotation mutation operators for android application;27TH INTERNATIONAL MEETING OF THERMOPHYSICS 2022;2023

4. Mutation Operators for Java Streams;Proceedings of the 7th Brazilian Symposium on Systematic and Automated Software Testing;2022-10-03

5. Mining Annotation Usage Rules: A Case Study with MicroProfile;2022 IEEE International Conference on Software Maintenance and Evolution (ICSME);2022-10

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