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Developing robust software is similar to constructing a new building. As a construction project requires careful planning, design, execution, and testing to build a strong and sturdy structure, software development also follows a similar sequence of steps.
In software terms, the process is called the Software Development Life Cycle or SDLC.
Following SDLC has various advantages such as high-quality output, better team collaboration, risk management, and many more. In this blog, we discuss 11 such key benefits of SDLC and see how SDLC and DevTools together can reform your software development process to help you achieve your project goals. Before we go ahead, let us briefly understand the SDLC and its phases.
The Software Development Life Cycle (SDLC) is a structured approach to software development that guides the whole process from its inception phase to the software launch. The approach ensures effective project management by splitting the process into various phases – planning, designing, coding, testing, deployment, and maintenance. Each of these phases has a specific set of activities and deliverables that results in a streamlined process. While navigating through these phases, the software development life cycle makes sure that the project is executed and finished in an organized manner.

In this phase, stakeholders and software development teams use various tools to collaborate and define the project’s objectives and requirements. While tools like Jira Software and Trello help manage their tasks and workflows, tracking tools such as Jira Work Management monitor their progress and performance. Teams can also leverage software like Atlas in this phase to visualize and connect their teams and contributions to project goals. On the other hand, the Jira Product Discovery tool enables the capturing and prioritization of their ideas and insights. These tools also help them resolve any ambiguities concerning the project before moving to the next phase.

The design phase is dedicated to software architecture. This phase includes the design of the core software components and their specifications. Tools such as Confluence play a crucial role in creating, collaborating, and organizing the software architecture.

Based on the design specifications developed in the previous phase, developers write code for the software in the coding phase. Version control platforms like Bitbucket, GitLab, and GitHub enable collaborative coding, and JetBrains IDEs provide a development environment for a smooth coding experience.

In this phase, the testing team tests the entire software system for its functional accuracy. Testing tools like Xray and Zephyr rescue the testing team in this phase as they facilitate comprehensive testing. Tricentis Tosca, the codeless test automation platform, integrates seamlessly and offers efficient test management and execution. The process also involves user acceptance testing, which helps understand the user experience and gather feedback before moving to the next stage.

The deployment phase is the time to make the software available and functional for the end-users. This phase involves using tools like Octopus Deploy, CloudBees, or others to automate the software deployment to the server or its distribution to the users.

During this phase, the product team provides continuous maintenance and support by resolving bugs or security issues. Moreover, the team leverages tools like Jira Service Management, Statuspage, and LaunchDarkly to manage new features and enhancements, communicate service status, and experiment with feature flags.
Apart from these standard stages of the Software Development Life Cycle, other processes, such as continuous integration and release management, are also integral parts of the software development process. While Continuous Integration (CI) tools, such as CloudBees, Bitbucket Pipelines, and GitHub Actions, automate the integration of code into shared repositories, tools like JFrog Artifactory manage artifact repositories. To manage the releases effectively, feature management tools such as LaunchDarkly play a crucial role as they enable feature flagging and controlled feature releases.
Additionally, development teams cannot ignore the role of AI tools like Atlassian Intelligence and GitHub Copilot which can enhance team productivity by providing insights and assisting in code generation at various stages of the SDLC.
Integrating SDLC principles into your development process might seem overwhelming. But fear not. DevTools is here to help as your trusted partner in the DevSecOps integration process. We offer more than just a collection of individual tools. Our focus is to provide a unified platform that works seamlessly with popular SDLC methods. By embracing the combined power of SDLC and DevTools services, you can create top-notch software with confidence and efficiency. Now, you have the secret to success. Adopt SDLC today, and let DevTools guide you!