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With an overview of IV&V principles, techniques, and best practises, this session provides as a foundation. You will have a good grasp of the goals and advantages of IV&V as well as its function in guaranteeing the dependability and quality of software.
Explore a variety of IV&V methods and equipment used in the field. This subject covers a variety of approaches and tools that improve the efficacy and efficiency of IV&V activities, from requirements analysis and traceability to risk assessment and test design. Learn by doing using well-known IV&V reporting, defect tracking, and test automation tools.
By the end of the course, you should have a solid understanding of CTFL, including the processes involved and the tools that are available for you to use. Upon completion of the course, participants shall be able to:
A fundamental overview of IV&V principles, procedures, and its function in software quality assurance is provided through this module. It discusses the fundamentals of IV&V, its goals, advantages, and the significance of independent verification and validation in maintaining the reliability of software.
The practical aspects of IV&V implementation are the main focus of this module. Participants will gain knowledge of the many stages, tasks, and outcomes associated with a successful IV&V programme. It addresses issues including requirements analysis, risk analysis, test design, defect tracking, and the usage of IV&V technologies that are accepted in the industry.
Participants will learn more about IV&V’s risk-based methodology in this lesson. They will learn how to recognise, evaluate, and rank risks in the design and testing of software. The module discusses methods for doing risk analyses, strategies for reducing risks, and methods for making choices that will efficiently distribute IV&V resources based on risk levels.
This module aims to improve participants’ reporting and communication abilities in the context of IV&V. Participants will learn how to write IV&V reports that successfully communicate technical information to stakeholders, project teams, and management. The best ways to convey findings and suggestions will be explored as well.
Advanced IV&V subjects and recent developments are covered in this module. Participants will examine subjects like IV&V automation, incorporating AI and machine learning approaches, and using IV&V in agile and DevOps systems. The module’s participants will learn more about the most recent developments in IV&V practises and have their expertise expanded.
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