Please use this identifier to cite or link to this item:
https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/2263
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Chamarthi, Raghuram | - |
dc.contributor.author | Reddy, A Pranayanath | - |
dc.date.accessioned | 2023-12-09T08:56:03Z | - |
dc.date.available | 2023-12-09T08:56:03Z | - |
dc.date.issued | 2018 | - |
dc.identifier.citation | pp. 85-90 | en_US |
dc.identifier.isbn | 9781538624562 | - |
dc.identifier.isbn | 9781538624579 | - |
dc.identifier.uri | https://doi.org/10.1109/ICIRCA.2018.8597290 | - |
dc.identifier.uri | http://gnanaganga.inflibnet.ac.in:8080/jspui/handle/123456789/2263 | - |
dc.description.abstract | Testing 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.iso | en | en_US |
dc.publisher | 2018 International Conference on Inventive Research in Computing Applications (ICIRCA), ICIRCA 2018 | en_US |
dc.subject | FMEA | en_US |
dc.subject | Quality Metrics | en_US |
dc.subject | Risk Metrics | en_US |
dc.subject | Software Testing | en_US |
dc.title | Empirical Methodology of Testing Using Fmea and Quality Metrics | en_US |
dc.type | Article | en_US |
Appears in Collections: | Conference Papers |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.