What is Software Development Life Cycle (SDLC)? SDLC Models, Methodologies, and Phases. [Complete Guide]
July 31, 2020

What is Software Development Life Cycle (SDLC)? SDLC Models, Methodologies, and Phases. [Complete Guide]

Software Development Life Cycle
What is Software Development Life Cycle (SDLC)? SDLC Models, Methodologies, and Phases. [Complete Guide]
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Every organizational process at some level suffers from the same challenge, irrespective of the business niches at which it is targeted or the roles it occupies. Not only a software development company but a business down the lane, producing fishing nets also realizes the urge to reduce the cost or to make it a speedy process. So whether you’re on track to launch a new project or even on the road to web creation, you need to strengthen the process with the Software Development Life Cycle (SDLC). Because every engineering project possesses the life cycle. And SDLC is one framework that will break down the entire life cycle to manage a fully planned and controlled software development effort from software planning to creation to its deployment with ease.  

Do you also intend to build a software-intensive system to make your business development process effective? Keep on reading. The article outlines a simple understanding of the software development life cycle guide, along with its models and phases and stages in detail.  

Introduction

For any software engineer or developer, software development is more important than the air we breathe in. Every day they wrap themselves up in different challenges to deliver the best custom software. How to get better at what they do is a relentless concern whether they operate on a tech process themselves or outsource the software development life cycle to third-party IT companies.   

However, while concentrating on delivering the best software is important, a great emphasis on planning and execution is a must. This is why understanding the Software Development Life Cycle (SDLC) is valuable for both developers and software engineers to meet customer expectations.  

What is the Software Development Life Cycle?

The Software Development Life Cycle, often termed as SDLC is a simple development process system for software development in the organization. It is to be used for the planning phase, creating, and evaluating high-quality software. The life cycle of the software-development allows users to turn a freshly created software development project into an operating one. 

In simple words, SDLC, also known as ADLC (Application Development Life Cycle), is a continuous cycle that begins when a decision is taken to start the project and ends when it is completely excluded from the source control. It helps to find problems and eventually applies different models and approaches through repeated actions.  

Indeed, SDLC began in the 1960s as the ‘systems development lifecycle.’ As explained by Geoffrey Elliott in his book Global Business Information Technology, the method was developed by large corporations to help manage complex business systems that required a lot of data history processing and analysis.

SDLC business processes typically consist of different phases and stages that are used by software developers to create a software product that matches or exceeds consumer requirements, completes in time, and forecasts of costs.

Now, the question arises, what are those different phases? Let’s understand in detail. 

Phases of SDLC (Software Development Life-Cycle)

Phases of SDLC

Phase 1. System Requirement Analysis and Planning

The very first phase of the software development life cycle is to evaluate whether or not a new framework is required to attain the strategic objectives of companies. The business stakeholders need to address the specifications for the end product, to define the system requirements in depth. It involves the software development life cycle of a project charter which sets out stakeholder, focus group, and customer requirements. 

To be more precise, you can understand this planning phase in 3 simple steps. 

  • Identify the requirements of business stakeholders, individuals and customers to cope up with the software development trends in the production environment.
  • Get the validation of identified project requirements. 
  • Plan the software project based on validated requirements.

In brief, the planning phase aims to evaluate the complexity of the issue and the software solution to it. 

Phase 2. Feasibility Study

Once you analyze the requirements and plan the software project, paperwork is needed to optimize requirements analysis and maintain a record of the solution’s development. The feasibility design document is often known as SRS (Software Requirement Specification) document and is to be understood by software developers thoroughly.   

The key aim of this stage – feasibility study – is to evaluate whether or not the proposed project is feasible in the specific areas below.

  • Check Economic Viability: Is the proposed project within the budget?
  • Test Organizational Compatibility: Is the software project compatible with the organization’s policies?
  • Identify Operational Efficiency: Can the problem be addressed within the back ground of the customer utilizing the existing and proposed program?
  • Verify Technical Capability: Does the existing computer system and resources available in organizations have the capabilities to solve the problem? 
  • Review Timeframe Functionality: Will the software project be completed under the proposed period? 

Through this stage conducting the feasibility study and addressing all these queries, you would attain a viable software plan which is ready for design – our next phase.   

Phase 3. Designing

The next section defines, in-depth, the required criteria, functions, and operations that must be in place based on the SRS (software requirement specification) document. The goal of development processes is to turn the business specifications defined in previous phases into a comprehensive method that is practical, scalable, and value-added to the software organization when the development starts by the developer.

This phase primarily includes two activities such as, 

  • Design IT infrastructure – It includes software application logic, interface design, user interface (UX / UI design), database design specification (data storage and DB access), etc.
  • Design the system model – It includes a data transfer dictionary, process diagram, screen layout diagrams, tables of business rules, prototype, etc. 

Now, to conduct any software design there has to be a certain principle and design specification so that the software engineer can navigate the design process easier. Consider the below-mentioned principles to follow.

  1. The design must be traceable to the method.
  2. The design must be standardized and integrative for navigation purposes.
  3. The design must be architecture to handle the shift.
  4. The design must be measured for high-quality software while creating.
  5. The design must be conflict and error-free.

Phase 4. Development

The real work begins now – software development, i.e, coding. When software development starts, the planned quality software framework is to be split into the different modules and assigned to the programmer. Programmers would then write the code according to selected java programming languages.   

Picking a source control code management for programming language or access control program in this process would be a great help to developers in monitoring design improvements for code. It frequently helps to maintain compatibility between different software development team ventures and modules to ensure that aim code targets are achieved. 

Coding may include various kinds of tasks such as, 

  • Finishing or brushing up coding skills according to coding guidelines. 
  • Finding failures and errors, and operating bug fixes of code.
  • Wait for code test results
  • Compile code to run an application.

Phase 5. Testing

Once the development stage and coding are completed according to coding guidelines, the system testing phase comes into the picture. A professional in quality assurance requirements (QA) will usually conduct the system testing to decide whether the product presented satisfies the original collection of company objectives or not. In specific, testing may be repeated to check for strengths, defects, weaknesses, failure, deficiencies, and interoperability for programming languages and the system status. This test is performed by the testing team until the end-user sees fit. Another extent of this phase is checking and assessment and will, therefore, guarantee that the program is implemented satisfactorily.

This code testplan phase can be classified into various subtasks and is to be conducted by quality assurance engineers on a repeat basis until the product integrity meets the high-quality levels specified in the SRS (software requirement specification). 

Phase 6. Implementation

As the performance testing meets customer expectations, the quality software needs to be made available for the end-users in this phase. The implementation is one of the stages directing the final activation of the system for the client where typically the program passes to application configuration validation (User Acceptance Testing). The product deployment phase is one of the stages that helps one to see how the product performs and works for the consumer according to their needs through various comments, surveys, interviews, domain experts, subject matter experts, questionnaires, the newsletter, form, and articles. It is the hit or miss process where businesses need to gain overall customer approvals for the minimum viable product and the user must tell you whether or not the product is good enough for the eventual release development cycles.  

Phase 7. Operation and Maintenance

Once the user accepts the product, it is ready for the commercial release and if certain bugs, a defect, or errors are found, it is necessary to fix them to ensure that the program runs smoothly. Another task to be carried by developers in the maintenance stage is to upgrade the software in the new version for maintenance and competition purposes. Once you upgrade the software into a new version, enhance those features for high-quality assurance requirements.   

The software development life cycle (SDLC) phases subset the stage and establish a target with which engineers start a plan off. Essentially, it is designed to create applications more efficiently and with a few setbacks when necessary to use. 

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Now that you are aware of SDLC phases and stages, let me guide you through the models and methods to conduct the SDLC process. 

Models and Methodologies of SDLC

Model 1. Waterfall Model

The waterfall methodology is one of the longest surviving software development life cycle (SDLC) models. It requires a hierarchical framework that demands the specification of all device parameters at the very beginning of a project. The reason it is called the waterfall approach is the development of software is well defined as moving slowly downwards across the program design processes (just like a waterfall). 

How does it work? 

The design of the waterfall model of the SDLC approach works in various ways that all the phases and stages flow through each other. That means the next step begins by developers only after the specified goal set for the previous phase is met. So in this quality software development life cycle model, there are no chances for overlaps. This involves such as the planning stage, requirement gathering stage, designing, code implementation stage, building stage, testing environment, deployment, and maintenance phase.

When can you apply this model? 

  • When the software specifications are recorded quite well, and transparent and set. 
  • When the product range description is consistent and not ambiguous. 
  • When technology is not complex and hard to use.
  • When tools are sufficiently available with the requisite skills to help the enterprises. 
  • When IT project planning is not long.

If your software project meets the above criteria, you can apply this software model to the development process. However, every software development life cycle model poses its pros and cons. Here is the list of important aspects you can take into consideration. 

ProsCons
  • It is simple to use and understand.
  • It produces high-quality software.
  • It is simple to handle because of platform stiffness.
  • Phases and stages can be processed and completed at a time. 
  • Functions best with smaller deliverables initiatives. 
  • It is easy to maintain design documents for the process and result in measures quickly.
  • Tasks are simple to organize. 
  • Clearly defined stages and files of documents.
  • There is high instability. 
  • Not a suitable framework for dynamic tasks. 
  • It’s hard to go back to any phase when it’s complete.
  • The weak patterns for lengthy and protracted programs. 
  • Not appropriate for programs where there is a low to the large chance of adjustments to specifications.
  • Hard to monitor progress.

Model 2. Iterative Model

The iterative approach, in tiny steps, takes the waterfall paradigm and loops around it many times instead of extending an entire project. Meaning, this method begins with a basic implementation stage of a specific collection of program specifications and then iteratively improves the developing iterations before the entire framework is introduced and then ready for delivery. 

How does it work? 

The iterative SDLC model is best viewed as a cyclical process. It involves a small number of steps that are replicated over and over after an initial preparation process. With each iteration of the loop, it advances incrementally and iterates on the program. Improvements are being identified and introduced easily during each iteration enabling the next step iteration to be at least a bit stronger than the last iteration. 

When can you apply this model? 

  • When the full-system specifications are well recognized. 
  • When there’s a time to the market constraint. 
  • When the software development staff and team members are utilizing a modern platform and improving when operating on the launch. 
  • When assets with skill sets needed are not accessible.
  • When some features of the high risks can alter in the future.

If you see, the great aspect of this approach is that at a very early stage of development processes, there is a functioning development life cycle model of the system which makes it easier to identify functional or design document flaws. However, it is suitable only for the large software development process. For more details, understand the below-mentioned pros and cons. 

ProsCons
  • Results are to be collected regularly and early. 
  • You may schedule parallel growth. 
  • The software development lifecycle is tangible. 
  • Change the variety/specifications to be less expensive and involve less cost. 
  • It’s quick to check and debug through smaller iterations.
  • Easy to handle degree risks.
  • The operational outputs are provided at any step.  
  • Examination of the risks is easier.
  • Operating time is much lower.
  • The stage is clearly identified.
  • Require more resources.
  • Require greater cloud management attention. 
  • Increments may need a complete system definition.
  • It is not ideal for small software development projects. 
  • Complexity in operations is higher. 
  • Highly trained personnel are required for the evaluation of risks.
  • The success of models is heavily contingent on the operations of analytics, tutorial, and insight.

Model 3. Spiral Model

This software development life cycle model was first defined in his 1986 paper by Barry Boehm. The spiral methodology can be looked at as the hybrid method of a waterfall process, and an iterative method. Each phase of the SDLC spiral method starts with a design purpose and ends with the customer reviewing the growth. This approach helps software development teams to follow the software development life cycle methodology depending on the project’s danger trends. 

How does it work? 

There are four stages to the spiral model pattern. In loops called Spirals, a software project constantly passes through the below-mentioned stages. 

  1. The software development lifecycle process starts with the stage consisting of a selection of company criteria in the spiraling baseline. The definition of software descriptions, module specifications, and machine requirements gathering – everything is to be achieved in this step. 
  2. The design phase starts in the reference spiral model with the conceptual code framework by design development teams.
  3. A construction phase is also known as deployment phase steps about-the proof of concept that has to be produced in this stage where the plan is developed to place customer satisfaction and friends suggestions and user feedback.
  4. The final stage is to carry out a risk assessment. Calculate and track technological viability and risk reduction, such as slip-pages times and backlog costs. After that, improve based on customer opinions. 

When can you apply this model? 

  • When there is a limitation on the expenditure and risk management is relevant. 
  • When risks are medium to high. 
  • When the software project is for long-term participation. 
  • When the users are not sure of the requirements. 
  • When business requirements are complicated. 

In addition, when your tech project has complicated specifications or plans big changes during your mid-to-high-risk phase, then the spiral method will be your business’s greater alternative. But before choosing the development life cycle model, look at the below-mentioned pros and cons once that will help you to choose the best option. 

ProsCons
  • It will meet evolving end-user requirements. 
  • Let you use prototypes for the software development lifecycle. 
  • Specifications may be more reliably recorded. 
  • Consumers can look early on at the program. 
  • Design can be separated into smaller components and code is clear.
  • The unsafe components installation possibility and opportunities lead to boost risk control.
  • Management becomes more difficult.
  • Can not decide on when the plan will be completed.
  • Not ideal for projects at medium or low risks.
  • The method service is complex and large and no security.
  • The spiral software development process can go on and on. It might not end ever. 
  • Excessive paperwork is needed for vast numbers of intermediate levels and updates.

Model 4. V Model

The v-model is an extension of the classic waterfall techniques and known as verification or a validation model. The reason it is called the v-model, is the phases and stages are flipped upwards after the coding point in a v-shape. The SDLC model has a rather rigid method that means once you complete the process for one phase, then only the next stage development starts. Meaning, you can’t proceed further until you finish the software development process for the initial stage. It is a step by step approach from planning to deployment. 

How does it work? 

If we break down the V Method into various phases, it includes 3 main phases such as,  

1. Verification PhaseThis stage mainly covers business requirement analysis, system design phase, product architecture design phase, and module-design phase. 

Business requirement analysis is a phase in which product requirements are considered from the client’s viewpoint.

System design is the process where you will be required to design the complete system after considering customers’ requirements. 

Architecture design (High-level design) scheduling by product architects is for integration high-level design and documentation basis on the transmission and connectivity of data processing with the internal modules and with other management systems. 

Module design (Low-level design) is a process where a unit check is to be performed based on the internal configurations to render it error-free and if at all there is, it helps to operate bug fixes and errors.

2. Coding Phase In this stage, depending on machine equipment and technical specifications the best fitting PHP programming language is to be determined and coding takes place. This is also known as the code implementation phase of the SDLC. 

3. Validation Phase – This stage mainly includes unit tests, integration testing, system testing, and acceptance testing.

Unit testing is to be conducted to establish the Unit Test Plans to eliminate bugs at programming language which is source code level or unit level.

Integration testing is to be conducted to establish Integration Test Plans to validate that groups will coexist and interact within themselves, produced and evaluated separately, during the architecture phase. 

System testing is to be conducted to establish System Test Plans to verify that applications established requirements are achieved.

Acceptance testing is to be conducted to establish User Acceptance Test Plans to make sure that the system is finally ready for the computing world. 

When can you apply this model? 

  • When the project is for a short term period. 
  • When the software specifications are not vague or unclear. 
  • When technology isn’t fluid. 

The disciplined V Model is, however, very easy to use as applied in a defined stage when it comes to implementation and handling. So if you are looking forward to applying this SDLC model in your business systems, you also need to see the advantages and drawbacks it consists of. 

ProsCons
  • It is a highly structured software development process so that it can be executed stages one by one at a time. 
  • It can be great for staging small projects. 
  • High-level design usability.
  • Clear and intuitive services.
  • With each phase of the SDLC, there are variable outcomes and a process of requirement analysis.
  • It consists of greater risk.
  • It is not a suitable example for dynamic tasks or object-oriented ones. 
  • Can not go back and adjust the function. 
  • It is inflexible in nature.
  • It lacks accuracy. 
  • It is inefficient for the software testing phase.

Model 5. Big-Bang Model

The Big Bang model, unlike nearly all other common development life cycle (SDLC) models, is remarkable. Why? It needs practically no preparation, stages, coordination, best practices, or traditional procedures. It is the concept of simply beginning the process right now, at this moment, with no organized frame-work or even organization. 

Now you might be wondering if the development life cycle model doesn’t possess any process then why do we even need to think of this. But let me tell you, while most companies would aim for a standard phased implementation with a new launch, in some cases, gradually implementing a new program may not be within a feasibility study. Especially when you are developing a radically different version of a product or release. In scenarios like this, the only rational unified process is an immediate release like pressing a button. This is called big bang adoption.  

How does it work? 

As I mentioned this development life cycle model doesn’t follow any procedure so the software development life cycle begins by developers only with inputs with best practices that contain the necessary money and resources, and the outcome is the produced software that may or may not fulfill the customer requirements. 

When can you apply this model? 

  • When the proposal is short.
  • When the project development team is small. 
  • When the project doesn’t require any planning or maybe little planning. 
  • When the necessary improvements may or may not require a full redesign of the program.
  • When the software development process requirements are not clear. 
  • When the release time is not certain. 

Like other software development life cycle (SDLC) models, this development model also contains the various elements of benefit and the drawback that are as follows. 

ProsCons
  • It is one of the simplest SDLC models & quick to implement. 
  • This calls for less planning. 
  • This calls for fewer resources. 
  • Support small-scale projects. 
  • They’re cost-effective. 
  • Easy to manage and quick cost estimates.
  • There’s no development time limit.
  • This is not ideal for large projects or for complex ones.
  • It’s extremely risky.
  • It has inherent ambiguity.
  • It is an inexpensive model.

Model 6. Agile Model

The Agile model is the complete opposite of the Waterfall model. In the old days, the iterative waterfall model was famous for completing a project. But the software developer and project manager had to face numerous problems and difficulties following this pattern, particularly when customers request a change and modification in handling or there is an upgrade in system requirement. So in order to reduce these challenges and disadvantages in older versions, they presented the concept with a label Agile Software Development. 

The agile model is a software development planning process that encourages the ongoing development and evaluating iteration during the software development lifecycle. It focuses on product robustness.

How does it work? 

Agile SDLC models split up the project into tiny sequential constructions known as a sprint series. All builds come in iterations and events. Usually, each replication of sprints lasts from about one to three weeks. Every implementation stage requires cross-functional teams operating concurrently in various areas such as the planning stage, requirement analysis phase, designing stage, code implementation stage, building stage, testing stage, and acceptance testing phase.

There are various forms of Agile models that software development companies use like, 

  • Scrum 
  • Lean development 
  • Crystal software development methodologies (CM)
  • Dynamic systems development method (DSDM)
  • Feature-driven development (FDD)
  • Extreme programming (tools) (XP)

Out of all scrum, lean development, and XP are the most common models for the SDLC process.

When can you apply this model?

  • When the plan is for a short period. 
  • When the departments and organization team size is small. 
  • When the code implementation speed is required. 
  • When flexibility is essential.

In better words, Agile is best to use when there is a change in business dynamics, competitor development and you need a method that performs between transformation and input. For more understanding, look at the below-mentioned pros and cons.

ProsCons
  • It is one of the practical models for designing the program. 
  • Enhancements of communication and training across software development teams.
  • The limited requirements of specifications for the capital.
  • Appropriate for demands setup or changing.
  • Advance directives for early part-time work and completion of the project are early.
  • Great fit when there’s a constant evolution of climates. 
  • Limited guidelines, efficient usage of the documents. 
  • Allows instant development through programming tools.
  • Not tailored to dealing with complex dependencies. 
  • Greater sustainability risk and uncertainty.
  • Strict distribution source control determines the distance, the features to be shipped, and the time-limit changes. 
  • It’s highly reliant on client involvement and location. 
  • Need high maintenance.

Model 7. RAD Model

Rapid-Application Development (RAD), also known as Rapid-Application Building (RAB), is also a common phrase used to apply to agile software development models. RAD solutions to software development typically put less focus on preparation and more focus on an agile development life cycle.

RAD is a technique for software development, utilizing limited preparation in lieu of rapid prototyping. A prototype is a technically identical operating model of one part of the product visibility. RAD projects generally adopt the iterative and the increment model and include limited development teams composed of engineers, software industry experts, client representation, and other IT tools collaboration on their parts or concepts gradually.

How does it work? 

RAD model divides the processes of research, design, construct, and testing phase into a sequence of short, iterative development cycle. It involves phases and stages such as, 

  1. Business Analysis – A full business requirement analysis is carried out to find the vital business information.
  2. Data Analysis – The data gained by developers during the business analysis process is checked and analyzed to create collections of essential business data items.
  3. Process Analysis – Convert the data object sets identified in the data analysis process as per the business model.
  4. Application developmentCoding is conducted by the engineers and software developers, according to the coding guidelines.
  5. Testing – The data flow, code implementation, and interfaces for all the modules must be carefully checked with complete software development coverage.

When can you apply this model? 

  • When there is a wide supply of modeling designers.
  • When industrial expertise with appropriate market and production environment experience is available.
  • When the spend is in the budget to use digital software application for code creation. 

Important: RAD model allows for a quick development environment because it decreases the total software development life cycle time due to product recyclability and concurrent growth.

ProsCons
  • It can handle new conditions, scope, and situations. 
  • One can calculate progress from the planning stage to deployment.
  • With the use of efficient RAD software development models, the iteration period may be limited. 
  • Productivity in a limited period, for fewer participants. 
  • The time of the software development lifecycle stage is reduced.  
  • Increases Product Reusability. 
  • Fast initial evaluations are in the software development process. 
  • Encouraging input and response from consumers. 
  • Only frameworks can be designed using RAD that can be modularised.
  • Highly qualified developers/designers and business analysts are needed.
  • High dependence on skills and commitment to modeling.
  • It is very large and inapplicable to cheaper tasks such as simulation costs and automatic code creation costs.
  • Complexity in administration is greater.
  • Suitable for only component-based management systems.

Model 8. Prototype Model

Prototyping is a software development process model that is used for software development. The software development prototyping model’s principal aim is to meet the desires of the consumer. Developers execute the prototyping concept to obtain this, then submit it to the consumer and other parties for assessment. 

The prototype model is one of the working software development models with very restricted features. The implementation stage does not necessarily contain the same reasoning found in the final product and is an additional step to be taken into account under the calculation of steps.

How does it work? 

In this stage, prototypes proceed until the product meets the consumers’ expectations. The prototype undergoes various kind of phases and stages at each iteration such as, 

  1. Basic requirement identificationThis stage helps to recognize the very basic specifications of the product mainly in the manner of the user interfaces.
  2. Develop initial Prototype – In this core point, where the very specific specifications are outlined and user interfaces are given, the actual prototype is created.
  3. Prototype review – The developed prototype is then introduced to the user and other relevant project managers and domain experts through the form and questions for the review.
  4. Monitor and improve prototype – Project managers reviews, customer feedback, and suggestions are addressed and some discussions take place with actors such as time and budget constraints. 

When can you apply this model? 

  • When developing systems that have high user communication levels
  • When applications for business require users to fill out forms or move through various types of screens and articles before processing the results.
  • When the program does not require much processing of the data and input of everyone.

Important: The prototype development process could be an extra overhead in such projects where the internal approaches are more as it may need lot of extra efforts. 

ProsCons
  • Improved customer interaction and input with the app just prior to its launch. 
  • The consumers get a clearer view of the framework being built when an operating implementation of the program is shown.
  • Reduces time and expense because we can spot the flaws much sooner.
  • Faster customer input contributing to new ideas is now open.
  • Required features may be quickly found.
  • Risks of inadequate review of criteria due to over-reliance on the prototype. 
  • In experiments and real systems, users can become confused and have less scope. 
  • In reality, this example will lead to enhancements of the system’s complexity because the system’s reach may extend beyond the original development plan. 
  • Developers can try to reuse existing prototypes to create the actual device, even though it is technically impossible.
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The Importance of SDLC Methodologies in IT

The software use proliferated in the late 70s and early 80s so it is not wrong to say that the area of software engineering is fairly young. But since then the different software development life cycle (SDLC) models have been successfully fulfilling the role of the software development activity in the software organization. How?  

  • This server serves as a plan reference for meeting customer needs. 
  • This provides a defined view of the system as the whole inception, its resources, segment, timeline, and objectives. 
  • Operation and performance evaluations help to make sure that the finished result is accurate and consistent. 
  • Control overbroad or complicated program improvement.
  • This offers a context for a selection of typical activities in a production environment. 
  • It lets you make sure the distribution to the people is accurate and within time. 
  • It provides power over the development process concurrency and decision making.
  • Fast cost estimates and extension of existing programs. 

FAQ

  1. What is a system development life cycle methodology?

    The life cycles of system development is a concept of project management that describes the steps involved in getting a project to fruition from the outset. Of starters, product engineering teams implement a number of project life cycle simulation tools that incorporate waterfall, spiral model, prototyping model, v model, and big bang model.

  2. Is SDLC waterfall or agile?

    The waterfall is a Continuous Sequential Life Cycle Model while Agile is a continual development process of production environments and preparation during the growth period of applications. The agile practice is known for its simplicity, whereas waterfall is known for its systematic strategies for designing applications. Agile embraces a systematic business strategy whilst a sequential design procedure is the waterfall mechanism.

  3. Is Waterfall better than Agile?

    The waterfall is a systematic technique for designing applications, such that it can be very linear much of the time. The creation of apps is done as a single project. Agile is a relatively robust example that requires improvements to be made to the criteria for project implementation even though the original preparation has been finished. So it completely depends on the requirements of your software development project and production environment whether you need waterfall or agile.

  4. Why is Agile methodology the best?

    • It can manage change effectively.
    • It helps to improve customer engagement.
    • It focuses on the prioritization of goals and planning.
    • It helps to increase productivity.
    • It gives an environment for cooperation and teamwork.

 
Conclusion
 
If you begin developing a new product and software as a startup, it’s important to follow the life cycle of the system development for a great impact and effectiveness. Because this way the project team is allowed to operate in a managed and well-organized atmosphere according to a systematic approach case to designing new software development solutions without any hassle. However, when you select the approach to app development, it is highly essential to know what tool would be suitable for your products. Sometimes, you may find that more than one approach is suitable for your project life cycle, so in this case, making a decision for selecting the appropriate approach is quite challenging. So if you find any problems with regard to the software development life cycle (SDLC) and choosing the best models, you can contact us at any time and our experts will reach you at earliest with the best solutions.  

 

This page was last edited on September 28th, 2020, at 8:32 AM.

Author Bio
Rakesh Patel
Rakesh Patel
Designation: Co-founder and CEO of Space-O Technologies

Mr. Rakesh Patel is a Founder and CEO of Space-O Canada. He has 28 years of IT experience in business strategies, operations & information technology. He has expertise in various aspects of business like project planning, sales, and marketing, and has successfully defined flawless business models for the clients. A techie by mind and a writer at heart, he has authored two books - Enterprise Mobility: Strategy & Solutions and A Guide To Open311.

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