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F(1) is the probability of failing on the next execution. It is equal to theta, the percentage of test cases that fail.1 The failure probability can be estimated by the current instantaneous error rate or by the estimated error rate from the error rate plots. If we know R(1), then the probability that we can execute n test cases without failure is R n R 1 n . Note that F n is not F 1 n . F n 1 1 F 1 n .
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Statistical quality assurance (SQA) is the use of statistics to estimate the quality of software. Executing the code with a small set of randomly chosen test cases will give results that can be used for estimating the quality. This is sometimes called a software probe. The error rate on the randomly chosen sample can be used as an estimate of the error rate in the nished project. If the percentage of correct executions is high, then the development is going well. If the percentage of correct executions is low, then remedial action may be appropriate for the development process.
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A failure is usually de ned as external behavior that is di erent from what is speci ed in the requirements.
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CHAPTER 7 Software Quality Assurance
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An important part of achieving quality is to plan for quality, that is, to plan those activities that will help to achieve quality. The IEEE Standards Association has developed a standard (Std 730-1989) for software quality assurance plans. The following is part of the sections speci ed in IEEE Std 730-1989: 1. Purpose This section shall list the software covered and the portions of software life cycle covered. 2. Reference Documents This section shall list all the documents referenced in the plan. 3. Management 3.1 Organization This section shall describe the structure of organization and the responsibilities, and usually includes an organizational chart. 3.2 Tasks This section shall list all of the tasks to be performed, the relationship between tasks and checkpoints, and the sequence of the tasks. 3.3 Responsibilities This section shall list the responsibilities of each organizational unit. 4. Documentation 4.1 Purpose This section shall list all required documents and state how documents will be evaluated. 4.2 Minimum documents This section shall describe the minimum required documentation, usually including the following: SRS Software Requirements Speci cation SDD Software Design Description SVVP Software Veri cation and Validation Plan SVVR Software Veri cation and Validation Report User documentation Manual, guide SCMP Software Con guration Management Plan 5. Standards, Practices, Conventions, and Metrics This section shall identify the S, P, C, and M to be applied and how compliance is to be monitored and assured. The minimal contents should include documentation standards, logic structure standards, coding standards, testing standards, selected SQA product, and process metrics. 6. Reviews and Audits This section shall de ne what reviews/audits will be done, how they will be accomplished, and what further actions are required. 7. Tests This section shall include all tests that are not included in SVVP.
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CHAPTER 7 Software Quality Assurance
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8. Problem Reporting This section shall de ne practices and procedures for reporting, tracking, and resolving problems, including organizational responsibilities. 9. Tools, Techniques, and Methodologies This section shall identify the special software tools, techniques, and methodologies and describe their use. 10. Code Control This section shall de ne the methods and facilities to maintain controlled versions of the software. 11. Media Control This section shall de ne the methods and facilities to identify, store, and protect the physical media. 12. Supplier Control (for outsourcing) This section shall state provisions for assuring that software provided by suppliers meets standards. 13. Records This section shall identify documentation to be retained and methods to collection, maintain, and safeguard the documentation. 14. Training This section shall identify necessary training activities. 15. Risk Management This section shall specify methods and procedures for risk management.
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