Software Engineering-SDLC V Model -【Hachinet】
The V-model is an SDLC model where processes' execution happens sequentially in a V-shape. It is also known as the Verification and Validation model. The V-Model is an extension of the waterfall model and is based on the association of a testing phase for each corresponding development stage. This means that for every single step in the development cycle, there is a directly associated testing phase. This is a highly-disciplined model and the next phase starts only after the completion of the previous phase.
Software Engineering-SDLC V Model -【Hachinet】
The V-model is an SDLC model where processes' execution happens sequentially in a V-shape. It is also known as the Verification and Validation model.
The V-Model is an extension of the waterfall model and is based on the association of a testing phase for each corresponding development stage. This means that for every single step in the development cycle, there is a directly associated testing phase. This is a highly-disciplined model and the next phase starts only after the completion of the previous phase.
1. V model
1.1. Verification phase
Static analysis techniques (reviews) could be done without executing code. A verification process during the product development phase helps ensure the specified requirements are met.
1.2. Validation phase
Validation is the process of evaluating software after the development phase is complete to determine whether the software meets customer expectations and requirements. It includes dynamic analysis techniques (functional and non-functional) and is tested by executing code.
Therefore, The validation and validation phases are joined by a V-shaped coding phase. Hence the name V-model.
1.3. Design phase
- Requirements Analysis: This phase includes detailed communication with the customer to understand their requirements and expectations. This stage is known as requirements gathering.
- System Design: This phase includes system design and complete hardware and communication setup to develop the product.
- Architectural Design: The system design is further divided into modules responsible for various functions. Data transfer and communication between internal modules and with the outside world (other systems) is clearly understood.
- Modular Design: The system is decomposed into smaller modules. A detailed design of the module is specified, also known as the low-level design (LLD).
1.4. Test phase
- Unit Tests: A unit test plan is created during the module design phase. These unit test plans are run to eliminate bugs at the code or unit level.
- Integration tests: After unit tests are completed, integration testing integrates modules and tests the system. Integration testing is performed during the architectural design phase. This test verifies communication between modules.
- System tests: It tests the complete application including functionality, interdependencies, and communication. Test functional and non-functional requirements of developed applications.
- User Acceptance Testing (UAT): UAT is performed in a user environment that resembles a production environment. UAT verifies that the delivered system meets the user's requirements and that the system is actually ready for use.
- Industrial Challenges: As the industry evolves, technology becomes more complex, faster, and ever-changing, but there is a set of challenges that are just as applicable today as they were as IT was in its early days. Basic principles and concepts remain.
- Precisely define and refine user requirements.
- Design and build applications according to the requirements of authorized users.
- Validate that the applications they build comply with approved business requirements.
1.5. Principles of the V model
- From big to small: In the V model, testing is done from a hierarchical perspective. For example, create the requirements identified by the project team, the high-level design phase of the project, and the detailed design phase. As each of these phases completes the requirements, they are refined and defined in more detail.
- Data/process integrity: This principle states that successful project design must incorporate and combine both data and process. Process elements should be identified per requirement.
- Scalability: This principle shows that the V-model concept is flexible enough to accommodate any IT project, regardless of size, complexity, or duration.
- Cross-references: Direct correlations between requirements and corresponding test activities are known as cross-references.
- Tangible Documentation: This principle dictates that every project should produce documentation. This document is required and applied by both project development and support teams. Documentation is used to maintain the application as it becomes available in production.
2. Key Characteristics of Effective Software Development
To differentiate your brand and gain a competitive advantage, you must be proficient in the methods and technologies that can accelerate the deployment, quality, and effectiveness of your software.
- Artificial Intelligence (AI): AI allows the software to emulate human decision-making and learning. Neural networks, machine learning, natural language processing, and cognitive capabilities are giving developers and companies the opportunity to disrupt the market and deliver products and services that are significantly ahead of the competition.
- Cloud-native development: Cloud-native development is a method of building applications that take advantage of cloud environments. Cloud-native applications are composed of discrete, reusable components called microservices designed to integrate into any cloud environment.
- Cloud-based development: Just as IT organizations turn to the cloud to improve resource management and reduce costs, so do software development organizations. In this way, the cloud can be used as a fast, flexible, and cost-effective integrated development environment (IDE) or development platform as a service (PaaS). A cloud-based development environment can support coding, design, integration, testing, and other development functions. We can also provide access to APIs, microservices, DevOps, and other development tools, services, and expertise.
- Blockchain: Blockchain is a secure, digitally linked ledger that eliminates the costs and vulnerabilities posed by parties such as banks, regulators, and other intermediaries. We are transforming businesses by freeing up capital, accelerating processes, reducing transaction costs, and more.
- Low-code: A development technique that reduces the need for coding and enables non-coders and citizen developers to build or build applications quickly and inexpensively.
- Analysis: Annual demand for data scientists, data developers, and data engineers will reach approximately 700,000 by 2020. This demand shows how important it is for businesses to gain insight and value from the explosion of data. Therefore, software developers are integrating advanced analytics capabilities into their applications. Cloud-based services and APIs make it easier to guide data exploration, automate predictive analytics, and create dashboards that provide new insights and improve decision-making.
- Model-Based Systems Engineering (MBSE): MBSE uses software modeling languages to perform initial prototyping, simulation, and analysis of software designs for early verification. Structuring a design with MBSE allows you to analyze and elaborate project requirements and move quickly from design to implementation.
- Mobile: A key capability for software developers is to create mobile apps with deep connections to data that enrich and improve the user's experience.
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