What are the next gen. projects in the Jira cloud?

Hi, my loving friends. Welcome to this course. In this article, I will explain to you about the next-gen project. This is the new feature of Jira and atlas Sian introduced it in the year 2018 so, let’s have a look at the agenda of this content. In this, we will learn what are the next-gen projects, how to create next-gen projects? How can we create issues and add issue types in next-gen projects and how to configure the board? So. Let’ start.

What are the next-gen projects?

Next-gen projects are the newest projects in Jira software and it is only available on the cloud platform to the server one. If you are using a server the server platform and you wouldn’t be able to sit. The third one is configured by project team members. Any team member with the project’s admin role can modify the setting of their next-gen projects. There is no need to take the help of the Jira administrator to add the issue types and to add some fields to your screen. The Fourth one is it is easier and faster to configure than classic projects. You can easily configure setting like issue types and fields with drag-and-drop editing and reordering all in a single place because the best part of next-gen projects is the ability to enable and disable the features and it allows you to scale your projects as your team grows and tailor your projects to your team changing needs so, this is the best thing in the next-gen projects. And before going forward, I would like to tell you one more thing like atlas Sian is building the next-gen Jira software from the ground up.

How to create next-gen projects?

So, it doesn’t yet have all the features that classic projects have. And they are a lot of differences between the next-gen and the classic projects like if I’m talking about the configurations then in the classic projects. We are able to share the configurations from one project to another. But in the next gen, you can’t share it. If you did some configurations for the particular projects in the next-gen, you wouldn’t be able to share that configuration with another project. And there are many more like estimations in the classic projects, you have the options, you can give the estimations in story point in your basis but in the next-gen, there is only one option is available and that is a story point. If you will go to the next-gen cloud instance and see how can you create the next-gen projects and configure them? There will be your cloud instance and you will create the next-gen projects from there. You will see that there will be two options are available one is classic and the other is next-gen. if that particular option is created out for you then this is the permission issue so, before creating the next-gen project. I would like to tell you about the permission so, once you will click on the Jira setting and go to the global permissions, there will be your global permission schema, and create next-gen project option will be there. At the time, you will have permission to create the next-gen project. You will click on the next-gen project and you will see the interface is similar to the classic.

You can simply change the template from there but you will see only two templates are available one is scrum and another one is Kanban. If you will go with Kanban and name the project, you will see the access option (open, limited, private) and project key as a classic one. If you want to change the project key then you can do it there. You will go forward to clicking the create button then the next-gen project board will appear which would be similar to the classic one but what is the difference and how can you identify that this is the next-gen project but what will happen? If you will haven’t created it yet you didn’t create it. Maybe, you are using the project which is created by another one. You will see in the bottom line that you are in the next-gen project. You can find out and identify that you are using the next-gen project. You will see there are the options which are roadmap, board, pages, add an item, and project setting. A Roadmap is a good option which is given by the next-gen project. I will discuss this later in the course. I hope this will give you exact direction in the way of your Jira learning and about its next-gen project. So, you will stay tuned with this course for further next information regarding Jira next-gen project.

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How to set up a Jira cloud instance?

Hi dears, welcome to the course study of Jira. Today, through this article, I will explain to you how you will set up a Jira instance so that you can start to use Jira software for your projects. I have miscellaneous agenda for you. On which topics you will learn is types of Jira instance, what is the difference between server and Cloud instance? And how to create a cloud instance of Jira? So, let’s move forward to learn more about Jira concepts

Jira instance

Basically, there are two types of Jira instances, the first one is cloud and the second one is server. I will tell you what is the difference between the cloud and server instances and which one you should use if you are a beginner to learn about the Jira software. So, let’s move forward to learn about the cloud and the server instances.

Cloud vs server instance

Here I will discuss the cloud instance first. So, what is a cloud instance? In the cloud instance rather than installing and maintaining, your product on your own server Atlas Sian host and set up your Jira application on the cloud for you so, this is the cloud instance and according to me, this is the best instance for the beginner, who want to learn from the very beginning. It is very fast because it’s easy to set up and get started in minutes as soon as you sign up. You may start working and inviting the team members and the second one is reduced costs because it helps to save money on the physical hardware maintenance installation support and any other hidden administration cost as well. This is a cloud instance so, everything is on the cloud and there is no need to bear the cost of your own hardware. The third one is no need to upgrade because on the cloud you get immediate access to the latest version on Jira so, there is no need to upgrade the cloud instance. The fourth one is security, it is very secure because atlas Sian takes the responsibility to maintain the security and compliances of your data and organization so, I describe the benefits of the cloud instances but I want to tell you one more thing about you don’t have direct access to change the database structure, file system, or other server infrastructure because you have a cloud instance and atlas Sian already set up your cloud instance. So, they will not give you administrator access. Let’s learn more about the server instance. What is a server instance? In the server instance, basically, you install, host, and run the Atlas Sian’s product on your own hosting environment. So, basically, those teams will prefer that want to manage all the details on their own and are able to handle the complexity of setting up and hosting the product on their own server. So, if your organization is very big and you have a department of administrators. They can manage the administrator task of the Jira or the server so, you can go with the server version but you are working in a startup and you want to learn your own then go with a cloud one.

In this complete course, I will also use the cloud instance because as I already told you, it is very easy to set up and everyone can access it from anywhere but in the server instance may be the organization installed it on the internal environment so, you would not be able to access it from outside the organization but in the cloud instance, you may access anywhere as I told you I will explain the cloud version in this course so may be the people who are using the server one they will see some differences in the UI because the cloud and the server UI is different in the server we have the navigation on the top but in the cloud we have the navigation in the left hand side and many more other differences in the UI so as I told you the difference between the cloud and the server instances so let’s move forward and see how can you create the cloud instance of Jira so for creating the cloud instance of JIRA so, you will go to the atlas Sian website, there is an atlas Sian official website www.atlassian.com once you will click on the product tab then you can see the complete list of the atlas Sian the product but there you will go with the Jira software so, you will click on Jira software.  It will take you on that page you may try it free then you can see the three plans and there will be cloud one. You may see try the product in the cloud and that is a free 7 days trail period you can go with any of the packages so, you will go there with any of the packages and you will go there with that one so, you will click on try it free, you will say that is a 7 day free cloud trial and it will give you the full access to all features, you can add the unlimited users and access to sales and technical support so, you will create the account there so you will use your ID and you will click on agree and sign up once you will end with the sign up process then you will see the screen where they will ask you to check your inbox and confirm your email ID so, you will go to your email so to verify that email you will click yes verify and it will redirect to you to the page if you want to select what type of team with do you work in then you can but for that you will skip and see the URL there that is a JIRA all sort of gentle that you have mentioned at the time of creating the account and you can invite your team with the help of the email address if you will enter the email address there and send the invitation then the people will get the email will get the invite and they can accept and use this environment and that JIRA instance for now you will skip that  and there they will ask are you new to Jira or are you already experienced with Jira then you can find out for now. That will be the next page where you can see there are the two types of templates are available first one is the classic template and the second one is a next-generation template. You can see there the Kanban is scrum and the bug tracking three templates are available and these three templates come under the software category so if you will go and will select all types you can see there are many more templates are available which are related to business. In this course, that’s it for today this is a process where you can create the cloud instance.

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What are Agile and DevOps?

Agile – Agile refers to software development methodologies based on iterative development, where requirements and solutions evolve through collaboration between self-organizing cross-functional teams. It is a process that promotes disciplined project management that encourages inspection and adaptation, self-organization and accountability, rapid delivery of high-quality software, and aligns the development of software with customer needs and company goals.

DevOps – DevOps is originated from Dev and Ops word which is development and operation. It has come out as a cultural philosophy and practice change which makes the collaboration between Development and operation team to fasten the software development and delivery. DevOps is originated from Dev and Ops word which is development and operation. It has come out as a cultural philosophy and practice change which makes the integration between Development and operation team fasten the software development and delivery. At the time of development of software its has always been seen that security is always a major concern, so for this DevSecOps came between that look after the security concern from the development process. It ensures the finished application is secured at all aspects of running the application.

What are some common misconceptions about Agile and DevOps?

DevOps & Agile Implementation - Landmark System & Solutions Pvt.Ltd

Agile and DevOps both are meant to help in functioning smoothly and efficiently the development and release process. But still, some people have spread the rumor which harming the DevOps and Agile image. So for today, we going to discuss some of the myths/ Misconceptions. Let’s start.

DevOps Misconceptions:-

DevOps Requires Agile – DevOps doesn’t require agile methodology, it’s a whole process on its own. DevOps and agile both have different ways to work and to develop software. DevOps is a process that integrates the development and operations team to enable continuous development and delivery of software whereas Agile emphasizes the iteration of development and testing in the SDLC process (which means it breaks down the product into smaller pieces and integrates them for final testing to build a ready to use application).

You Can’t have DevOps without Cloud – Basically, it’s not true. There are ways to use DevOps separately as DevOps is a philosophy rather than a technology, it can scale and adapt to change much better in comparison to cloud computing. But still with this advantage, without the ability to set up and provision new machines programmatically and without the cloud’s API, DevOps functioning feels limited because the cloud provides the ability to flexibly manage the computing resources we need, So cloud is important for DevOps functioning efficiently.

DevOps Doesn’t Work for Large, Complex Systems – It is not like this. Earlier It was said, that the waterfall model is best for large and complex systems, but it’s not true. DevOps has been led just to remove all vulnerabilities which all the older models had in the development process to function well whether it is for a large or complex system. It happening because DevOps using modern methods to make the tasks easy and day by day things are improving. So the conclusion is DevOps fits over all types of systems.

It is Exclusive to Native Internet Companies – DevOps is an approach that is widely used by the whole world. So DevOps can’t be limited to any extent which means it is inclusive to native internet companies.

DevOps Requires Teams’ Physical Proximity – It’s a baseless myth I have ever heard. DevOps never require any kind of physical proximity. DevOps can work without physical appearance. With the help of the latest techniques like remote workers, third-party contractors, and cloud service providers, DevOps can perform much better than anyone as well as With the right tools and frameworks to support communication and collaboration in the DevOps lifecycle could give an effective result.

DevOps is Only for Continuous Delivery – It would be wrong if it is said like this. DevOps is not only for continuous delivery it is for continuing operations as well. the duty of its to ensure the continuous development, delivery as well as deployment to the market so the organization can achieve the required goal. Even though After deployment DevOps teams monitor the performance as well to push the updates. So the DevOps works are much more than only continuous delivery of software.

Soft Skills Aren’t Necessary – Soft skills needs everywhere whether it is in DevOps or not. Dev and op team is bound to work with each other so it’s important to be polite with each other in terms of working efficiently. Sometimes some organizations provide such soft skill training as well to be one of the well-disciplined organizations.

Agile Misconceptions:-

Agile models cannot work with other models – It’s not true, Instead, Agile methodology offers more flexibility to their users to include various aspects of traditional methods into it. The stages of product development cycles of the agile method are shorter and multiple, and they are complete like other traditional methods. In such a manner, agile methods are compatible with the processes of traditional methods. The only way to combine the agile method with a traditional plan-driven model like the waterfall model, waterfall uses the sprints of the agile method within the linear structure to start work for the next stage without completing the work of the previous stage.

No planning is required for the projects – The development process of agile is neither plan-driven nor has Gantt charts or WBS but still its plan at the number of points like Dev Sprint Planning of formalized ceremonies comprising PO and PBR to address the goals and priorities of the project of the team. The ceremony is related to the owner of the product communicating the details to the project team about their requirements and the project manager and the team establishing their priorities to complete the task as planned, to build and run the project successfully.

Role of management is eliminated in agile methodology – The is also one of the myths because the role of every person is defined in agile as well as the owner of the product involved as the manager of the project. The supervision of the project ( the goals and priorities of the project team and leading the team to accomplish the task ) is the responsibility of the product owner.
In agile projects the product owner, along with a Scrum Master who is responsible to ensure the development teams of the project complete the tasks within each sprint by working in the best condition.

Agile is specifically for Software Development – Initially agile started with the development of software but later it emerged as a complete methodology, which can be used in distinctive projects where the ability of change and continuation is higher and feedback cycles are shorter. So again it’s a myth.

Agile means no need for software testing – In Agile, test cycles are planned for every sprint with the user stories that developers intend to address in that sprint. Testing is the central part of the success of an agile development lifecycle and it keeps continuous until the final product meets all requirements.

Agile means DevOps – Both are different from each other. Agile is based on iterative development and DevOps is a cultural change that works with the integration between dev and op teams to continuous development and delivery of software.

Conclusion

In this blog, we have discussed the Definition of Agile and DevOps, and some misconceptions about both of them. As I have mentioned above both are good to each other but in a current scenario, DevOps is much better than anything. but still, all are good at their place and Agile is also one of them and I have tried to remove some of the misconceptions above. Hope so it will be helpful to you guys.

Training place

If you looking for training in DevOps, DevSecOps, and SRE, then you guys can consider about DevopsSchool. It is a platform where you guys can get certified training as well as certification in any particular tools related to DevOps. It promises the best environment as well as the best trainer who holds a good experience in DevOps and also they provide real-time projects which can boost your carrier as well as a resume.

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What are DevOps, DevSecOps, and SRE, and differences among them?

DevOps – DevOps is the combination of culture, practices, and tools that increase an organization’s ability to deliver applications and services at high quality, as well as automate and integrate the processes between development and IT teams.


DevOps teams use tools to automate the process, which helps to increase reliability and efficiency.
DevOps ensures fast software delivery with minimum problems to fix and faster solution to problems.
The term DevOps has been made up of two words development and operations.


DevOps is a process that permits the Developer and operation teams to collaborate with each other to manage the whole application development life cycle, i.e. development, testing, deployment, monitoring, etc. DevOps aims to shorten the period and cost of development of the application.

DevSecOps – DevSecOps is a useful umbrella term that collects the processes introduced by organizations who want to run their operations on AWS, Azure, and Google cloud.


DevSecOps is about not only making software easily installable but making the process of installing it more secure and usable.

DevSecOps is not only making the software installation easy, but it makes the installation process more secure and usable as well.


Prior, the development cycles lasted for months or even years, and the release of new versions or software updates of their applications used to be released just once or twice a year.
It gave enough time for quality assurance and security testing teams to carry out security measures which is make the process very slow.


But these outdated security practices or separate security teams cannot keep up with the speeds of DevOps initiatives.
This vulnerability leads to the evolution of the DevSecOps methodology, where the development, operation, and security team, work together and share end-to-end responsibilities in the entire development life cycle to finish the project in less time.


DevSecOps methodology automates the integration of security at every stage of the software development lifecycle, from the initial design.


DevSecOps integrates the security of application and infrastructure seamlessly in Agile and DevOps processes and tools.

SRE – SRE stands for site reliability engineering.


In around 2000 Google realize DevOps is good as it is but there is something else that can be done. So there were a lot of different ideas flowing around then Google come up with this idea called an SRE.


It is a software engineering approach to operations where an SRE team uses software as a tool to manage systems and solve problems and automate operational tasks.


So basically, SRE takes the tasks which have been done often manually by the operation teams and instead of giving them to engineers or Operations teams who use software or automation to solve these problems, they do it themselves and manage the production environment.


In other words, SRE teams are made up of software engineers who build and implement software to improve the reliability of their systems.


SRE teams are responsible for how code is deployed, configured, and monitored as well as checks for the availability, latency, change management, emergency response as well as capacity management of service in production.


So how SRE does all these things, Basically it helps to determine the new features that are being launched, they test it across a few different metrics, so they check it across these things called SLA (Service Level Agreement), SLI (Service level indicator), and SLO (service level objectives).

Differences between DevOps, DevSecOps, and SRE

DevOps, DevSecOps, and SRE all work to bridge the gap between development and operation teams to deliver faster and reliable services.

DevOps and DevSecOps


DevOps is the process of integrating development and operations and focuses on eliminating the communication gap between different teams so that the whole code development and deployment process is done faster whereas DevSecOps solves the security concerns along with deployment.


DevOps is only responsible for Development and operational tasks related to a single project but DevSecOps suggests that security is everyone’s responsibility.


DevOps team requires the skillset of Linux fundamentals and scripting knowledge of various tools and technologies whereas DevSecOps engineers should be skilled with addressing the vulnerabilities with automated security tools. Need to have knowledge in cloud security and provide support to infrastructure users.


DevOps has some benefits like speed, rapid delivery, reliability, scale, improved collaborations, security whereas DevSecOps has improved agility, considers security automation, keeps security as code.


Automation is done for security testing so the development is tested on regular basis.

The report generates if any vulnerabilities are found during CI and CD. DevSecOps never allow security to get compromised. whereas automation in DevOps is for releasing codes in a higher environment. This helps developers to know about the changes has done by the members and to work accordingly.


Monitoring the security incident is done through incident management. Proper standards are created to raise Thus security concerns are managed in DevSecOps. In DevOps, Application infrastructure is managed through codes as infrastructure as codes. Here designing and managing the code is happen on the same platform.

DevOps And SRE


DevOps reduce silos whereas SRE doesn’t concern about the silos. DevOps involve unexpected failures, whereas SREs focus on no failure happening at all.


The automated workflow needs constant monitoring, in this process DevOps team ensures software is working effectively whereas SRE believes that operations are a software issue.


SRE practice involves a contribution from each level of the organization whereas DevOps is all about development and operations only.


SRE uses developers and tools to solve IT operation problems and workflow problems. Thus, SRE does most things through software engineers whereas DevOps uses a development and operation team to finish the work from building to deploying the software in the market.


SRE doesn’t have any special script to follow, but it offers a hard prescription to solve the problems and which tools to use. Whereas DevOps has a development lifecycle that describes what to do.

All these courses are being done at one of the best platforms which are DevOpsschool. If anyone is looking for an institute where you can learn DevOps, you should go for this.

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SDLC (Software Development Life Cycle) Phases, Process, Models – Complete guide

Introduction

Software Development Life Cycle (SDLC) may be a method employed by the software industry to style, develop and check high-quality software. The SDLC aims to supply high-quality software that meets or exceeds client expectations, reaches completion among times and price estimates.

SDLC is that the acronym of Software Development Life Cycle.

It is conjointly referred to as the software development method.

SDLC may be a framework process task performed at every step within the software development method.

ISO/IEC 12207 is a world quality software life-cycle process. It aims to be the quality that defines all the tasks needed for developing and maintaining software.

What is Software Development Lifecycle (SDLC)?

The software Development Life Cycle (SDLC) could be a structured method that permits the assembly of high-quality, low-priced software, within the shortest attainable production time. The goal of the SDLC is to provide superior software that meets and exceeds all client expectations and demands.

SDLC may be a method followed for a software project, inside a software organization. It consists of an in-depth setup describing the way to develop, maintain, replace and alter or enhance specific software. The life cycle defines a strategy for improving the standard of software and also the overall development method.

Why SDLC is important for developing a software system?

SDLC permits developers to research the necessities. It helps in reducing unnecessary prices throughout development. It allows developers to style and builds high-quality software products. This can be as a result of them following a scientific method that permits them to check the software before it’s extended.

  • Forms the foundation for project planning and scheduling
  • Helps estimate cost and time
  • Includes the project activities and deliverables of each phase
  • Boosts the transparency of the entire project and the development process
  • Enhance the speed and accuracy of development
  • Minimizes the risk potential and maintenance during any given project
  • Its defined standard improves client relations

What are the Benefits of the Software Development Lifecycle?

  • It makes it clear what the problem or goal is. It is easy to get ahead of yourself when taking on a large project. With the SDLC you can clearly see the goals and the problems so that the plan is implemented with precision and relevance.
  • The project is designed with clarity. Project members cannot move from one stage to another until the prior stage is completed and signed off on by the project manager. A formal review is created at the end of each stage, which allows the project manager to have maximum management control.
  • It will be properly tested before being installed. The installation in a project that is executed using an SDLC has the necessary checks and balances so that it will be tested with precision before entering the installation stage.
  • If a key project member leaves, a new member can pick up where they left off. The SDLC gives you a well-structured and well-documented paper trail of the entire project that is complete with records of everything that occurs.
  • Without the SDLC, the loss of a project member will set you back and probably ruin the project. If paperwork is missing or incomplete, the new project member can have to be compelled to begin from the start and even probably amendment the project to create sense of it. With a well-designed SDLC, everything is so as in order that a replacement project member will continue the method while not complications.
  • The project manager will properly manage a project if deliverables are completed on time and among the budget. sticking to a budget is simpler with a well-organized arrange during which you’ll see all the timetables and prices. Project members will submit their work to an integrated system that flags something that’s past due. Once the project manager will pay less time micromanaging, he or she will be able to pay longer improving potency and production.
  • The project can continuously loop around until it is perfect. The stages are meant to feed back into the earlier stages, so the SDLC model provides the project with flexibility.
  • When designing and implementing a project, a software development life cycle is the solution. It’s the best way to ensure optimal control, minimize problems, and allow the project manager to run production without having to micromanage the project members.

Stages of the SDLC:

Every software development company goes through an array of stages as they embark on a systematic process of development. From planning to design and development, here is a brief glance at the six essential stages of SDLC required to create flawless software:

Planning

Without a clear, visionary plan in place, it is difficult to align everything with your project goals and judge all its strengths, scope, and challenges involved.

The planning is to ensure the development goes easy and smooth, meets its purpose, and achieves its desired progress within the given time limit.

Analysis

Analyzing the requirements and performance of the software through its multiple stages is key to deriving process efficiency.

Analysis always helps be in the know of where you exactly stand in the process and where you need to be and what it takes to pass through the next step down the path.

Design

After the analytical part is complete, the design is the next step that needs to look forward to. The basic aim in this phase is to create a strong, viable architecture of the software process.

As it works by standard adherence, it helps eliminate any flaws or errors that may possibly hinder the operation.

Development

Once the design is ready, the development takes over along with efficient data management and recording. This is a complicated phase where clarity and focus are of great significance.

Post-development, implementation comes into the picture to check whether or not the product functions as expected.

Testing

The testing phase that comes now is inevitable as it studies and examines the software for any errors and bugs that may cause trouble.

Maintenance

If the software has performed well through all the previous five steps, it comes to this final stage called maintenance. The product here is properly maintained and upgraded as and when needed to make it more adaptive to the target market.

How many SDLC models are there?

Today, there are more than 50 recognized SDLC models in use. None of them is perfect, and each brings its favorable aspects and disadvantages for a specific software development project or a team.

Waterfall

Through all development stages (analysis, design, coding, testing, deployment), the method moves in a very cascade model. Every stage has concrete deliverables and is strictly documented. The consecutive stage cannot begin before the previous one is totally completed. Thus, as an example, software needs cannot be re-evaluated any in development. There’s additionally no ability to check and take a look at the software until the last development stage is finished, which ends up in high project risks and unpredictable project results. Testing is usually rushed, and errors are expensive to repair.

SDLC Waterfall model is used when:

  • Requirements are stable and not changed frequently.
  • An application is small.
  • There is no requirement which is not understood or not very clear.
  • The environment is stable
  • The tools and techniques used is stable and is not dynamic
  • Resources are well trained and are available.

V-model (Validation and Verification model)

The V-model is another linear model with every stage having a corresponding testing activity. Such workflow organization implies exceptional internal control, however, at constant time, it makes the V-model one among the foremost costly and long models. Moreover, although mistakes in needs specifications, code, and design errors will be detected early, changes throughout development are still costly and tough to implement. As within the waterfall case, all needs are gathered at the beginning and can’t be modified.

V model is applicable when:

  • The requirement is well defined and not ambiguous
  • Acceptance criteria are well defined.
  • Project is short to medium in size.
  • Technology and tools used are not dynamic.

Incremental and Iterative model

Incremental: An incremental approach breaks the software development process down into small, manageable portions known as increments.

 Iterative: An iterative model means software development activities are systematically repeated in cycles known as iterations.

Use cases: Large, mission-critical enterprise applications that preferably consist of loosely coupled parts, such as microservices or web services.

Spiral model

The Spiral model puts concentrates on thorough risk assessment. Thus, to reap the advantages of the model to the fullest, you’ll have to be compelled to have interaction with people with a powerful background in risk evaluation. A typical Spiral iteration lasts around six months and starts with four important activities – thorough designing, risk analysis, prototypes creation, and evaluation of the antecedently delivered part. Continual spiral cycles seriously extend project timeframes.

Uses of the spiral model:

  • projects in which frequent releases are necessary;
  • projects in which changes may be required at any time;
  • long term projects that are not feasible due to altered economic priorities;
  • medium to high risk projects;
  • projects in which cost and risk analysis is important;
  • projects that would benefit from the creation of a prototype; and
  • projects with unclear or complex requirements.

The Rational Unified Process (RUP)

The Rational Unified Process (RUP) is also a mixture of linear and reiterative frameworks. The model divides the software development process into four phases – inception, elaboration, construction, and transition. Every phase however inception is typically done in many iterations. All basic activities (requirements, design, etc) of the development process are done in parallel across these four RUP phases, although with completely different intensities.

RUP helps to make stable and, at a similar time, versatile solutions, but still, this model isn’t as fast and adaptable because of the pure Agile cluster (Scrum, Kanban, XP, etc.). The degree of client involvement, documentation intensity, and iteration length could vary betting on the project wants.

Use cases: Large and high-risk projects, especially, use-case-based development and fast development of high-quality software.

Scrum

Scrum is probably the most popular Agile model. The iterations (‘sprints’) are usually 2-4 weeks long and they are preceded with thorough planning and previous sprint assessment. No changes are allowed after the sprint activities have been defined.

Extreme Programming (XP)

With Extreme Programming (XP), a typical iteration lasts 1-2 weeks. The model permits changes to be introduced even once the iteration’s launch if the team hasn’t begun to work with the relevant software piece yet. Such flexibility considerably complicates the delivery of quality software. To mitigate the matter, XP needs the utilization of try programming, test-driven development and test automation, continuous integration (CI), little releases, easy software style and prescribes to follow the coding standards.

Kanban

As for Kanban, its key distinguishing feature is that the absence of pronounced iterations. If used, they’re unbroken very short (‘daily sprints’). Instead, the emphasis is placed on arranged visualization. The team uses the Kanban Board tool that has a transparent illustration of all project activities, their variety, responsible persons, and progress. Such increased transparency helps to estimate the foremost urgent tasks a lot accurately. Also, the model has no separate strategy planning stage, thus a new modification request will be introduced at any time. Communication with the client is in progress, they’ll check the work results whenever they like, and therefore the meetings with the project team will happen even daily because of its nature, the model is usually employed in projects on software support and evolution.

What are the different phases of the SDLC life cycle?

I have explained all these Software Development Life Cycle Phases

  1. Requirement collection and analysis

The requirement is the first stage in the SDLC process. It is conducted by the senior team members with inputs from all the stakeholders and domain experts in the industry. Planning for the quality assurance requirements and recognization of the risks involved is also done at this stage.

2. Feasibility study

Once the requirement analysis phase is completed the next SDLC step is to define and document software needs. This process was conducted with the help of the ‘Software Requirement Specification’ document also known as the ‘SRS’ document. It includes everything which should be designed and developed during the project life cycle.

3. Design

In this third phase, the system and software design documents are prepared as per the requirement specification document. This helps define the overall system architecture.

This design phase serves as input for the next phase of the model.

There are two kinds of design documents developed in this phase:

High-Level Design (HLD)

  • Brief description and name of each module
  • An outline about the functionality of every module
  • Interface relationship and dependencies between modules
  • Database tables identified along with their key elements
  • Complete architecture diagrams along with technology details

Low-Level Design(LLD)

  • Functional logic of the modules
  • Database tables, which include type and size
  • Complete detail of the interface
  • Addresses all types of dependency issues
  • Listing of error messages
  • Complete input and outputs for every module

4. Coding

Once the system design phase is over, the next phase is coding. In this phase, developers start to build the entire system by writing code using the chosen programming language. In the coding phase, tasks are divided into units or modules and assigned to the various developers. It is the longest phase of the Software Development Life Cycle process.

In this phase, the developer needs to follow certain predefined coding guidelines. They also need to use programming tools like compilers, interpreters, debuggers to generate and implement the code.

5. Testing

Once the software is complete, and it is deployed in the testing environment. The testing team starts testing the functionality of the entire system. This is done to verify that the entire application works according to the customer’s requirements.

During this phase, QA and testing team may find some bugs/defects which they communicate to developers. The development team fixes the bug and sends it back to QA for a re-test. This process continues until the software is bug-free, stable, and working according to the business needs of that system.

6.Installation/Deployment

Once the software testing phase is over and no bugs or errors are left in the system then the final deployment process starts. Based on the feedback given by the project manager, the final software is released and checked for deployment issues if any.

7. Maintenance

Once the system is deployed, and customers start using the developed system, the following 3 activities occur

Bug fixing – bugs are reported because of some scenarios which are not tested at all

Upgrade – Upgrading the application to the newer versions of the Software.

Enhancement – Adding some new features into the existing software.

Which SDLC Model is Best?

Agile is that the best SDLC methodology and conjointly one in every of the foremost used SDLC within the tech trade as per the annual State of Agile report. At RnF Technologies, Agile is that the most loved software development life cycle model. Here’s why. Agile is very adaptive that making it totally different from all alternative SDLC.

Conclusion
The software development life cycle is a resourceful tool for developing high-quality software products. This tool provides a framework for guiding developers in the process of software development. Organizations can use various SDLC strategies such as waterfall, V-model, iterative, spiral, and agile models.
You should consider consulting with a resourceful IT company before embracing an SDLC approach for your team from the list above.
DevOpsSchool has enough expertise to help you know how different models come in handy in certain business scenarios and industry environments. From our experience, we will guide you to the best fit for your software product.

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Social networking software and ratings

Best Open-Source Social Networking Software | Best Open Source Tools to Create Scalable Online Social Networking Platforms |

  1. Elgg
  2. Oxwall
  3. Phpfox
  4. WordPress
  5. Jcow
  6. Buddypress
  7. Dolphin
  8. Drupal
  9. Pligg
  10. Socialengine
  11. Jomsocial
  12. XOOPS
  13. Anahita
  14. Mahara
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Best Open Source eCommerce Software

nopCommerce
nopCommerce is an open source e-commerce solution that contains both a catalog frontend and an administration tool backend. nopCommerce is a fully customizable shopping cart. It’s stable and highly usable.

osCommerce
osCommerce is the leading Open Source online shop e-commerce solution. It offers shopping cart functionality that allows store owners to setup, run, and maintain their online stores

Pinnacle Cart
Premium ApplicationPinnacle Cart is an extremely powerful php shopping cart and website builder application. Designed from marketing perspective, this eCommerce application is feature-packed, robust, scalable and easy to use

ShopSite
Award winning ShopSite© is the easiest-to-use shopping cart software for small to medium-sized businesses. With ShopSite you can have a store online in as little as 15 minutes. ShopSite’s flexible templates allow you to create a site with the look and feel that you want.

Zen Cart
Zen Cartâ„¢ truly is the art of e-commerce; a free, user-friendly, open source shopping cart system. The software is being developed by group of like-minded shop owners, programmers, designers, and consultants that think e-commerce could be and should be done differently.

Magento
If your business is serious about eCommerce success, we can help. Magento offers flexible, feature-rich solutions that address a wide range of business sizes, needs and budgets.

Prestashop
Fast, efficient and easy to use, PrestaShop’s free e-commerce solution provides everything you need to open, operate and maintain a successful online store.

X-Cart – Paid
Like proud parents, we can’t help but brag about all the great features that make X-Cart the trusted ecommerce platform of thousands of successful businesses around the world.

VirtueMart
VirtueMart – a free, easy to use and up-to-date e-commerce solution. Fully integrated into a free, but professional Content Management System

BigCommerce
Bigcommerce gives you a plethora of securely hosted e-commerce tools: Website, Domain name, Secure shopping cart, Product catalog, Payment gateway, CRM, Email accounts, Marketing tools, Reporting, Mobile-optimized store

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My firewall security software tells me that that InstallShield’s “Agent.ex

msiexpert created the topic: My firewall security software tells me that that InstallShield’s “Agent.ex
My firewall security software tells me that that InstallShield’s “Agent.exe is trying to access the Internet”. Why does this happen?

applicationPackaging replied the topic: Re: My firewall security software tells me that that InstallShield’s “Agen
Agent.exe is a part of the InstallShield Update Service. The InstallShield Update Service is a Web-based service that connects your software programs to their available updates. This requires it to use the Internet. Your software provider decides how often the agent will check for an update to your software. However, you may use the Update Manager control panel applet to reset how often these connections take place (or stop them entirely).

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Software Install Builder FoR MAC

kishore created the topic: Software Install Builder for Mac
ClickInstall is a software install builder for Mac. Version 3 adds a desktop alias, installer patch generation, batch builder, custom installer icon and computer unique password or serial number activation to its core feature set for building Mac software installers.

See the “Build Installer with ClickInstall” demonstration video:

www.excelsoftware.com/videos.html

Free trial download:

www.excelsoftware.com/clickinstalldownload.html

scmuser replied the topic: Re: Software Install Builder for Mac
Thanks for sharing this info.

nara replied the topic: Re: Software Install Builder for Mac
longpathtool.com/

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Software Development with Team Foundation Server 2015

Introduction
  • Understanding the Feature Path from TFS 2013
  • Introduction
  • Overview
  • TFS 2013 Update Timeline
  • Agile Tools
  • Demo: Agile Tools
  • Git
  • Demo: Git Improvements
  • Demo: Git CodeLens
  • Demo: Pull Requests
  • Testing
  • Demo: Testing Features
  • Summary
Installing and Configuring TFS 2015
  • Introduction
  • Install Options
  • TFS Pre-upgrade Tool
  • Demo: Pre-upgrade Process
  • Upgrading to TFS 2015
  • Demo: Upgrade from TFS 2013 to TFS 2015 Update2
  • Demo: Verify the Upgrade
  • Demo: Project Rename
  • Summary
Working with New Kanban Board Features
  • Introduction
  • Portfolio Management
  • Demo: Epics
  • Demo: Features
  • Product Backlog
  • Demo: Product Backlog
  • Kanban
  • Demo: Kanban Board Intro
  • Demo: Kanban Columns
  • Demo: Kanban Swimlanes
  • Demo: Kanban – Working with Tasks
  • Customizations
  • Demo: Customizing the Cumulative Flow Diagram
  • Demo: Customizing Working Days
  • Demo: Customizing Bugs on the Backlog
  • Productivity
  • Demo: Creating Work Item Templates
  • Demo: Quick Search
  • Sprint Planning
  • Demo: Capacity Planning
  • Demo: Sprint Planning
  • Demo: Sprint Progress
  • Tracking Work
  • Demo: Charts and Alerts
  • Dashboards
  • Demo: Working with Dashboards
  • Summary
Working with New Version Control Features
  • Introduction
  • Version Control Enhancements
  • Demo: Git Branching Enhancements
  • Demo: Working with Git Branches
  • Git Rebase
  • Demo: Git Rebase
  • Git Branch Policies
  • Demo: Configure Branch Policies
  • Demo: Create a Pull Request
  • Demo: Resolve Branch Policy Issues
  • Quick Code Edit
  • Demo: Quick Code Edit
  • Summary
Building Software
  • Introduction
  • Build Agent
  • Demo: Configure a Build Agent
  • Demo: Build Capabilities
  • Build Definition
  • Demo: Create a Build Definition
  • Running a Build
  • Demo: Running a Build
  • Build Customization
  • Demo: Customize a Build and View Test Results
  • Demo: Customize with Build Steps
  • Demo: Multiple Configurations and Parallel Builds
  • Demo: Build Triggers – Continuous Integration and Pull Requests
  • Demo: Capabilities and Demands
  • Demo: Build Definition History
  • Demo: Build Definition Templates
  • Summary
Testing Software
  • Introduction
  • Test Hub1
  • Demo: Create a Test Plan
  • Demo: Create Test Suites
  • Demo: Create Test Cases
  • Demo: Create Test Cases from the Grid View
  • Demo: Shared Steps
  • Demo: Test Parameters
  • Demo: Shared Parameters
  • Demo: Running Tests
  • Demo: Test Run Analysis
  • Demo: Export Test Plans
  • Exploratory Testing Extension
  • Demo: Install Exploratory Testing Extension
  • Demo: Exploratory Testing
  • Demo: Exploratory Testing Results
  • Kanban Integration
  • Demo: Creating Test Cases from the Kanban Board
  • Summary
Integrating with TFS 2015
  • Introduction
  • Marketplace
  • Demo: Installing Marketplace Extensions
  • Demo: Working with Extensions
  • Demo: Manage Extensions
  • Creating Extensions
  • Demo: Create an Extension
  • Demo: Packaging Extensions
  • Demo: Install an Extension
  • TFS 2015 API
  • Demo: TFS 2015 API
  • Service Hooks
  • Demo: Service Hooks
  • Summary
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