Mutant Selecting According to the Nondominated Original Statements

المؤلفون المشاركون

Zhang, Gongjie
Dong, Yongquan
Yu, Qiao
Xie, Chunli

المصدر

Scientific Programming

العدد

المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-11، 11ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2019-11-03

دولة النشر

مصر

عدد الصفحات

11

التخصصات الرئيسية

الرياضيات

الملخص EN

Mutation testing is a technique for evaluating the quality of a test suite.

However, the costly computation from a large number of mutants affects the practical application of mutation testing, and reducing the number of mutants is reasonably an efficient way for mutation testing.

We propose a new method for reducing mutants by analyzing dominance between statements in the program under test.

The proposed method only selects the mutants generated from the nondominated statements, and the mutants generated from the dominated statements are reduced.

After applying the proposed method to nine programs, the experimental results show that our method reduces over 75% mutants and well maintains the mutation adequacy.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Zhang, Gongjie& Xie, Chunli& Dong, Yongquan& Yu, Qiao. 2019. Mutant Selecting According to the Nondominated Original Statements. Scientific Programming،Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1210738

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Zhang, Gongjie…[et al.]. Mutant Selecting According to the Nondominated Original Statements. Scientific Programming No. 2019 (2019), pp.1-11.
https://search.emarefa.net/detail/BIM-1210738

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Zhang, Gongjie& Xie, Chunli& Dong, Yongquan& Yu, Qiao. Mutant Selecting According to the Nondominated Original Statements. Scientific Programming. 2019. Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1210738

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1210738