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IEEE Recommended Practice on Software Reliability

IEEE Std 1633-2016 (Revision of IEEE Std 1633-2008)

Organization:
IEEE - The Institute of Electrical and Electronics Engineers, Inc.
Year: 2017

Abstract: The methods for assessing and predicting the reliability of software, based on a life-cycle approach to software reliability engineering (SRE), are prescribed in this recommended practice. It provides information necessary for the application of software reliability (SR) measurement to a project, lays a foundation for building consistent methods, and establishes the basic principle for collecting the data needed to assess and predict the reliability of software. The recommended practice prescribes how any user can participate in SR assessments and predictions.
URI: https://yse.yabesh.ir/std/handle/yse/240479
Subject: software reliability
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contributor authorIEEE - The Institute of Electrical and Electronics Engineers, Inc.
date accessioned2017-10-28T13:02:12Z
date available2017-10-28T13:02:12Z
date copyright18 Jan. 2017
date issued2017
identifier other7827907.pdf
identifier urihttps://yse.yabesh.ir/std/handle/yse/240479
description abstractThe methods for assessing and predicting the reliability of software, based on a life-cycle approach to software reliability engineering (SRE), are prescribed in this recommended practice. It provides information necessary for the application of software reliability (SR) measurement to a project, lays a foundation for building consistent methods, and establishes the basic principle for collecting the data needed to assess and predict the reliability of software. The recommended practice prescribes how any user can participate in SR assessments and predictions.
languageEnglish
titleIEEE Recommended Practice on Software Reliabilityen
titleIEEE Std 1633-2016 (Revision of IEEE Std 1633-2008)num
typestandard
page261
treeIEEE - The Institute of Electrical and Electronics Engineers, Inc.:;2017
contenttypefulltext
subject keywordssoftware reliability
subject keywordsIEEE 1633
subject keywordssoftware failure modes
identifier DOI10.1109/IEEESTD.2017.7827907
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