1 Common VV Processes Activities and Tasks 5411 Hardware Disposal 52 System VV

1 common vv processes activities and tasks 5411

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5.1 Common V&V Processes, Activities and Tasks 5.4.11 Hardware Disposal 5.2 System V&V Processes, Activities and Tasks 6. V&V reporting requirements 5.2.1 Acquisition Support 6.1 Task reports
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5.2.2 Supply Planning 6.2 Anomaly reports 5.2.3 Project Planning 6.3 V&V final report 5.2.4 Configuration Management 6.4 Special studies reports (optional) 5.2.5 Stakeholder Requirements Definition 6.5 Other reports (optional) 5.2.6 Requirements Analysis 7. V&V administrative requirements 5.2.7 Architectural Design 7.1 Anomaly resolution and reporting 5.2.8 Implementation 7.2 Task iteration policy 5.2.9 Integration 7.3 Deviation policy 5.2.10 Transition 7.4 Control procedures 5.2.11 Operation 7.5 Standards, practices, and conventions 5.2.12 Maintenance 8. V&V test documentation requirements 5.2.13 Disposal 5.3 Software V&V Processes, Activities and Tasks 5.3.1 Software Concept 5.3.2 Software Requirements 5.3.3 Software Design 5.3.4 Software Construction 5.3.5 Software Integration Test 5.3.6 Software Qualification Test 5.3.7 Software Acceptance Test 5.3.8 Software Installation and Checkout (Transition) 5.3.9 Software Operation 5.3.10 Software Maintenance 5.3.11 Software Disposal Figure 10.10: Outline of a plan for System and Software Verification and Validation from the IEEE 1012-2012 Standard. Like the algorithmic models for cost estimation (see Section 7.10 ), some researchers have advocated that software metrics could replace inspections or reviews to assess project quality and progress. The idea is to collect metrics across many projects in organization over time, establish a baseline for new projects, and then see how the project is doing compared to baseline. This quote captures the argument for metrics: Without metrics, it is difficult to know how a project is executing and the quality level of the software. Braude and Berstein 2011 Below are sample metrics that can be automatically collected: Code size, measured in thousands of lines of code ( KLOC ) or in function points (Section 7.10 ). Effort, measured in person months spent on project.
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Project milestones planned versus fulfilled. Number of test cases completed. Defect discovery rate, measured in defects discovered via testing per month. Defect repair rate, measured in defects fixed per month. Other metrics can be derived from these so as to normalize the numbers to help compare results from different projects: KLOC per person month, defects per KLOC, and so on. The problem with this approach is that there is little evidence of correlation between these metrics that we can automatically collect and project outcomes. Ideally, the metrics would correlate and we could have much finer grain understanding than comes from the occasional and time consuming inspections. This quote captures the argument de-emphasizing metrics: However, we are still quite a long way from this ideal situation, and there are no signs that automated quality assessment will become a reality in the foreseeable future Sommerville 2010 4. Configuration management. Configuration management includes four varieties of changes, three of which we have seen before. The first is version management
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  • Spring '19
  • Dr.Marcos

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