An Evaluation of Internal Program Metrics as Predictors of Mutation Operator Score-Reference-Cited by-同舟云学术

An Evaluation of Internal Program Metrics as Predictors of Mutation Operator Score

Published:2019 Issue: Volume: Page:
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Container-title:Proceedings of the IV Brazilian Symposium on Systematic and Automated Software Testing - SAST 2019
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Author:

Dallilo Lucas Diniz¹,Pizzoleto Alessandro Viola¹,Ferrari Fabiano Cutigi¹

Affiliation:

1. DC/UFSCar - Brazil

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Fundação de Amparo à Pesquisa do Estado de São Paulo

Publisher

ACM Press

Reference37 articles.

1. J. H. Andrews, L. C. Briand, and Y. Labiche. 2005. Is Mutation an Appropriate Tool for Testing Experiments?. In ICSE. ACM, St. Louis, MO, USA, 402--411.

2. E. F. Barbosa, J. C. Maldonado, and A. M. R. Vincenzi. 2001. Toward the Determination of Sufficient Mutant Operators for C. Soft Testing, Verification and Reliability 11, 2 (2001), 113--136.

3. T. Budd and D. Angluin. 1982. Two Notions of Correctness and their Relation to Testing. Acta Informatica 8, 1 (1982), 31--45.

4. T. T. Chekam et al. 2017. An Empirical Study on Mutation, Statement and Branch Coverage Fault Revelation That Avoids the Unreliable Clean Program Assumption. In ICSE. IEEE, Buenos Aires, Argentina, 597--608.

5. T. T. Chekam et al. 2018. Selecting Fault Revealing Mutants. Joint Tech. Report arXiv:1803.07901. University of Luxembourg; and University of California, Luxembourg City, Luxembourg; and Berkeley, California, USA.

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