The period between the newly-developed project and the operational one is called a Software Development Life Cycle, or SDLC. SDLC consists of a detailed plan describing how to develop, maintain, replace, alter, or enhance specific software. The methodology works by removing the typical pitfalls and guiding the development team to design a software that meets and exceeds your expectations.
1. Requirements gatheringDuring the initial stage, when the client needs bespoke software, several meetings are held to understand and collect all unique requirements. Here we know what your specifications are, why do you need the software, how do you want the software to work, and your goals you wish to achieve with the software. By discovering your expectations, we choose the right direction to implement the project successfully with minimum risk and cost.
2. Analysis and planningAfter collecting the requisite information, we start analyzing them to build a strong foundation for your project. We translate your goals into a concrete plan to ensure that your visions are met. This is the stage wherein we collate factual data, build a preliminary data structure, understand the information architecture, identify risks, and develop solutions to open problems. We also draw the project timeline, scope, and explore future upgrades for your project.3. Security & Performance ArchitectureThis phase defines the security and performance architecture of the platform which would be used to host the software system. Each project demands a different approach; this is why we dedicate this stage to designing the cloud architecture of your system. Here we select a cloud vendor that would host the platform, define the elements of secure data storage, access, and transmission.
4. Agile Scrum Based DevelopmentThis stage is, without a doubt, the longest one as the build happens here. Developers tasked to the project create code, test, and integrates data. Depending on the software development size, tasks are split up into 2-week intervals. Each interval can be executed one after another or multiple in tandem. The Agile Scrum methodology we use reduces risk and improves overall software quality, the customer can start using the software quickly, often within the first month of development so problems come up faster and the software can be planned better going forward.5. System TestingQuality assurance builds a regression checklist as the project progresses, this becomes the most important element to ensure quality going forward. Our testing specialists improve time to market, ensure that your software is secure, and, eventually, help you improve your bottom line. Automated testing routines are created for high availability systems, these test the software automatically at set intervals collecting stability, speed and security data.
6. DeploymentDeployments happen when a release is planned, a single release can have multiple sprints, the release schedule is planned in advance with all the stakeholders. Often customers want more important elements released first which works great with the Agile Scrum methodology as each sprint can be independently planned. Cloud deployment is our preferred method, however, we often do onsite deployments too. A plan to revert to status quo is part of all deployments, most deployments also affect disaster recovery and backup planning.
7. Support & ManagementOur maintenance plans offer excellent support for bespoke software solutions as we not only ensure the system works flawlessly during the implementation stage but also after the release. Our team can play the role of first tier, second tier, or third-tier support personnel. For SAAS solutions we often man the support desk, build knowledgebase articles and interface with customers for upgrades too.
Contact us for custom software solution services today. Our team and processes are flexible in providing custom software development services for startups, SMBs, and enterprise Fortune 500 companies alike. We have helped thousands of clients improve efficiencies in their business with automated workflows and data integration.
