Waterfall basically is a sequential model where software development is segregated into a sequence of pre -defined phases – including feasibility, planning, design, build, test, production, and support. On the other hand, Agile development methodology follows a linear sequential approach while providing flexibility for changing project requirements, as they occur.

 

1.    The software development process is divided into different phases in the Waterfall model while Agile methodology segregates the project development lifecycle into sprints

2.    Waterfall is a structured software development methodology, and often times can be quite rigid, whereas the Agile methodology is known for its flexibility

3.    According to the Waterfall model, software development is to be completed as one single project, which is then divided into different phases, with each phase appearing only once during the SDLC. However, the Agile methodology can be considered as a collection of many different projects, which are nothing but the iterations of the different phases focusing on improving the overall software quality with feedbacks from users or the QA team

4.    If you want to use the Waterfall model for software development, then you have to be clear with all the development requirements beforehand as there is no scope of changing the requirements once the project development starts. The Agile methodology, on the other hand, is quite flexible, and allows for changes to be made in the project development requirements even after the initial planning has been completed

5.    All the project development phases such as designing, development, testing, etc. are completed once in the Waterfall model while as part of the Agile methodology, they follow an iterative development approach. As a result, planning, development, prototyping and other software development phases can appear more than once during the entire SDLC

 

Testers also starts building test cases for the test plan based on the requirements gathered.

5. Testing:
Test the system based on the developed test plan to help find bugs and error, and to validate that the system has met the requirements.
6. Deployment
Operation team will prepare the system for live users and make improvements on hardware if needed eg: servers, deployement of links etc.
7. Maintenance:
Provide long term support for the system to maintain the performance or fixing new issues reported by users.

1. Be more responsive 

Scrum project management will improve your response times and productivity. 

2. Planning and tracking becomes more accurate 

When using Scrum, the tasks are split up into “Sprints” and these goals are delivered by project teams 

3. Everyone is on the same page 

While Scrum uses sprints to break up the overall project into smaller projects, the great thing about this development methodology is that it prioritizes individuals and interactions. 

4. Arrange priorities as the project moves on 

The best thing about Scrum is that you’re not only able to deal with challenges as they arise - you’re actually expecting changes. The system is set up with the understanding that no project, no matter how big or small, stays 100% true to the original plan. 

5. Adjust short-term targets while sticking to overall strategy 

Sitting down to plan a large-scale project will result in a clear goal or outcome. Whether it is introducing a new IT system or completely reforming your processes for a specific section of your business, the end goal should reflect what you want from this project 

6. Added control 

Control is built into the core principles of Agile (Scrum). One of the main requirements of this methodology is to make different parts of the workforce come together on a project 

7. Improve your estimates and timescales 

One thing that large businesses find difficult is to stick to timescales. Sometimes, the sheer scale of a project can become overwhelming and lead to costly delays and issues. This impacts on your business as a whole and when you are dealing with logistical issues such as time differences across continents, you often find your ability to give customers an accurate picture is hampered. 

 

SDLC: SDLC or the Software Development Life Cycle is a process that produces software with the highest quality and lowest cost in the shortest time. SDLC includes a detailed plan for how to develop, alter, maintain, and replace a software system.

There are seven phases in software development life cycle (SDLC)

1.     Planning

2.     Requirements/Analysis

3.     Design

4.     Implementation/Coding

5.     Testing

6.     Deployment

7.     Maintenance

Planning: To start of any project, it always has to start with the planning phase, in planning phase everyone agrees with an acceptable requirement and do the necessary changes if necessary.

Requirements/Analysis: Then we go to the Requirement phase where are the necessary steps are analyzed and justified what needs to be done and how the terms and conditions will be fulfilled both for the users and the system itself. After selecting the required documents, the requirement team will analyze and finalize the requirement. 

Design: Design team takes all the requirement and starts to design the product. Design phase in concise of business rules, programming language to use, user interface layout, color schemas, frameworks, system-server design, database relationships, application architecture, mobile aspect, supported browsers and so on. 

Implementation/Coding: Implementing phase is the phase when actual hands on work for the product starts when the developer team starts writing code and testers do the testing and gives feedback accordingly. 

Testing: The work of the tester plays a crucial role in the quality of the software and its performance. Quality analysts use a variety of test case test software. Before the release, the product needs to be verified, including software testing and debugging by testers. When the testing department ensures that the software is error free, it goes to the next stage.

Deployment: Operation teams will end up nearing the staging or developments environment systems that been testing and get them ready for production. After all task is completed, the product will go live to the real users.

Maintenance: Maintain the system and improve the performance of system make it smooth and flexible for the user.