Please use this identifier to cite or link to this item: https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/2263
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dc.contributor.authorChamarthi, Raghuram-
dc.contributor.authorReddy, A Pranayanath-
dc.date.accessioned2023-12-09T08:56:03Z-
dc.date.available2023-12-09T08:56:03Z-
dc.date.issued2018-
dc.identifier.citationpp. 85-90en_US
dc.identifier.isbn9781538624562-
dc.identifier.isbn9781538624579-
dc.identifier.urihttps://doi.org/10.1109/ICIRCA.2018.8597290-
dc.identifier.urihttp://gnanaganga.inflibnet.ac.in:8080/jspui/handle/123456789/2263-
dc.description.abstractTesting which is an indispensable part of software engineering is itself an art and science which emerged as a discipline over a period. On testing, if defects are found, testers diminish the risk by providing the awareness of defects and solutions to deal with them before release. If testing does not find any defects, testing assure that under certain conditions the system functions correctly. To guarantee that enough testing has been done, major risk areas need to be tested. We have to identify the risks, analyse and control them. We need to categorize the risk items to decide the extent of testing to be covered. Also, Implementation of structured metrics is lagging in software testing. Efficient metrics are necessary to evaluate, manage the testing process and make testing a part of engineering discipline. This paper proposes the usage of risk based testing using FMEA technique and provides an ideal set of metrics which provides a way to ensure effective testing process. © 2018 IEEE.en_US
dc.language.isoenen_US
dc.publisher2018 International Conference on Inventive Research in Computing Applications (ICIRCA), ICIRCA 2018en_US
dc.subjectFMEAen_US
dc.subjectQuality Metricsen_US
dc.subjectRisk Metricsen_US
dc.subjectSoftware Testingen_US
dc.titleEmpirical Methodology of Testing Using Fmea and Quality Metricsen_US
dc.typeArticleen_US
Appears in Collections:Conference Papers

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