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IEEE 1633 2016:2017 Edition

$104.54

IEEE Recommended Practice on Software Reliability

Published By Publication Date Number of Pages
IEEE 2017 261
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Revision Standard – Active. 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.

PDF Catalog

PDF Pages PDF Title
1 IEEE Std 1633-2016 Front cover
2 Title page
4 Important Notices and Disclaimers Concerning IEEE Standards Documents
7 Participants
9 Introduction
11 Copyrights and Permissions
13 Contents
15 1. Overview
1.1 Scope
1.2 Purpose
2. Normative references
16 3. Definitions, acronyms, and abbreviations
3.1 Definitions
19 3.2 Acronyms and abbreviations
22 4. Role, approach, and concepts
4.1 What is software reliability engineering?
4.2 Strategy
24 4.3 Project-specific SRE tailoring
31 4.4 Life-cycle considerations for SRE
35 5. Software reliability procedure
5.1 Plan for software reliability
57 5.2 Develop failure modes model
68 5.3 Apply software reliability during development
111 5.4 Apply software reliability during testing
137 5.5 Support release decision
143 5.6 Apply software reliability in operation
149 6. Software reliability models
6.1 Overview
150 6.2 Models that can be used before testing
160 6.3 Models that can be used during and after testing
169 Annex A (informative) Software failure modes effects analysis templates
A.1 Templates for preparing the software failure modes effects analysis (SFMEA)
171 A.2 Templates for analyzing the failure modes and root causes
175 A.3 Template for consequences
176 A.4 Template for mitigation
177 Annex B (informative) Methods for predicting software reliability during development
B.1 Methods for predicting code size
181 B.2 Additional models for predicting defect density or defects
187 B.3 Factors that have been correlated to fielded defects
190 Annex C (informative) Additional information on software reliability models used during testing
C.1 Models that can be used when the fault rate is peaking
C.2 Models that can be used when the fault rate is decreasing
195 C.3 Models that can be used with increasing and then decreasing fault rate
197 C.4 Models that can be used regardless of the fault rate trend
198 C.5 Models that estimate remaining defects
199 C.6 Results of the IEEE survey
201 Annex D (informative) Estimated relative cost of SRE tasks
204 Annex E (informative) Software reliability engineering related tools
206 Annex F (informative) Examples
F.1 Examples from 5.1
210 F.2 Examples from 5.2
221 F.3 Examples from 5.3
231 F.4 Examples from 5.4
252 F.5 Examples from 5.5
253 F.6 Examples from 5.6
255 Annex G (informative) Bibliography
IEEE 1633 2016
$104.54