Software Development Life Cycle

There are different types of software development life cycles (which can be confusing). There are Spiral, Big Bang, Iterative, and Tester models. First, let’s go through each of these steps in detail. Most of them share the same basic principles and are similar from method to method. But it is usually performed in this order.

Types of software development models

Spiral:

The Spiral model divides the whole software development life cycle into four stages.

1. State objectives and limitations.

2. Analyze alternatives, including risk analysis related to simulation and prototyping.

3. Product development-once the risk has been identified, the development team will move on to the next step.

4. Review the repeating results. Software engineers use this model for extensive and pricey projects.

For the Spiral view model, the number of loops depends on the project. But each loop represents a different step of the software development process to manage various risks that might occur and are often used in large projects.

Big Bang:

Big Bang software development is a simple approach. In the software development process, the team will start coding right away instead of planning specifications and writing data first. This method works well for smaller projects requiring less planning and limited resources.

Because the focus is on coding rather than planning, it’s best for smaller projects with few requirements and no release timeline.

Iterative model:

The Iterative model of the software development life cycle consists of three steps:

1. Planning and Design- during the planning stage, the development team identifies business logic and database models to support goals and features.

2. The design phase specifies the technical requirements for the product.

3. Then, start coding.

The iterative model takes less time to document and more time to design. However, all system requirements are clearly defined, but some details can be changed. For example, the software may require a lot of risk management, requiring highly qualified specialists. Consequently, it is a disadvantage to use more resources.

Tester:

During the testing stage of the software development life cycle, applications are tested for bugs and end-user experience; if found, they are fixed and re-tested. The purpose of demand analysis is to ensure that applications perform as the customer expects.

Next, the operational and maintenance procedures are critical to the software development life cycle. This step is responsible for testing developed code and recording bugs. The testing continues until the software is ready for production. Once the customer has approved the final product, developers will proceed to production, which software goes into the process of maintenance and debugging continuously.

Software Development Life Cycle (SDLC):

Requirement Analysis:

The key part of software development is when starting to create a product. Customers often do not clearly understand how they want to build their system. Therefore, they need clear guidelines. Experienced developers will confirm/recommend/modify to complete prerequisites.

Design:

The software system must fully meet the product’s requirements and make sure that future needs can be identified. It also involves communication between software systems and other software products and the underlying hardware or host operating system.

Implementation:

The previous designs had to be translated by a programmer into a computer-readable and understandable format. Writing code at this stage is very easy if the design is detailed and complete. Conversely, if the previous system’s design still needs to be completed, it will be very disturbing to take the next step and may be difficult to fix.

Deployment:

After the test team finishes working, it can be used. Then it can be further developed.

Testing:

After the programmer had finished inserting the code, the testing team began working using different testing methods to detect errors in the system. In this stage, support tools will also detect errors so that the development team can resolve them promptly before it reaches the end user. Many companies are now building testing tools to support their development activities.

Maintenance:

Maintaining and upgrading software in response to problems experienced or new requirements. Therefore, it may take longer to update the information.

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