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              <text>Security Aspects for Mutation Testing in Mobile Applications</text>
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              <text>Android; GeneTic; Mobile apps; Mutation testing</text>
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              <text>Due to the increase in the number of Android Platform Devices, there are more and more applications being developed across various domains. It is interesting to see the involvement of bugs/crashes even in the deployed applications even though it has been through various test phases. Unit tests are essential in a well-trusted testing environment; however, it does not guarantee that the range of test caries every component of the application. This writes up discusses the overview of mutation testing method concerning Android Applications. Even though mutation testing is found out to be very effective in other applications, it is not that easy to implement the same for an Android Developed Application because of additional resources it would hold. Further, various measures for mutation testing are discussed with types of mutant operators, tools etc. The current studies of mutation analysis mainly focus on testing all the functionalities irrespective of the resource usage. However, the target of the future mutation tests must be also to evaluate the efficiency of the applications under the same test cases.  2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.</text>
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          <name>Creator</name>
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              <text>Eapen N.G.; Rao A.R.; Samanta D.; Robert N.R.; Krishnamoorthy R.; Lokesh G.H.</text>
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              <text>Lecture Notes in Networks and Systems, Vol-291, pp. 17-27.</text>
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              <text>Springer Science and Business Media Deutschland GmbH</text>
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              <text>2022-01-01</text>
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              <text>&lt;a href="https://doi.org/10.1007/978-981-16-4284-5_2" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/978-981-16-4284-5_2&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85116828029&amp;amp;doi=10.1007%2F978-981-16-4284-5_2&amp;amp;partnerID=40&amp;amp;md5=ca4364c3bc014e35082da5247519279e" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85116828029&amp;amp;doi=10.1007%2f978-981-16-4284-5_2&amp;amp;partnerID=40&amp;amp;md5=ca4364c3bc014e35082da5247519279e&lt;/a&gt;</text>
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              <text>Restricted Access</text>
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              <text>ISSN: 23673370; ISBN: 978-981164283-8</text>
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              <text>Online</text>
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              <text>Eapen N.G., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, India; Rao A.R., Department of Data Science, CHRIST (Deemed to be University), Bengaluru, India; Samanta D., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, India; Robert N.R., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, India; Krishnamoorthy R., Vishwakarma University, Pune, India; Lokesh G.H., Vidyavardhaka College of Engineering, Mysuru, India</text>
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