Software Development
Digital needs and expectations are constantly changing, and new trends are emerging. Customers will always need digital solutions to personal and business problems, and those solutions will require iteration to attain perfection. With our services, you can capitalize on these opportunities by modeling and developing viable software as well as deploying heuristic strategies to ensure steady and optimal functionality.
FemX Tech handles everything from IT consulting, cloud computing, and blockchain technology, to machine learning, DevOps, Internet of things, eCommerce portals, application migration, and web/ mobile apps. Our industry range includes, but is not limited to healthcare, telecommunications, retail, finance, education, agriculture, education, project management, and logistics.
Our Software Development Process
Planning
Using Requirements Analysis, our experts will determine what your target market expects your software to do, conceptualize it, and create a feasible roadmap for creating it. We’ll also identify potential funding sources and other resources to make the project feasible.
Implementing
Here, our software engineers bring the ideas from the planning stage to life by writing program codes and protocols. It is the main building stage where we turn concepts into reality.
Testing
Test the prototype for bugs and identify design flaws before rolling it out to the target market. We often achieve this via free beta testing, bug bashing sessions, bug log creation, conducting acceptance testing, paid surveys, smoke testing, etc.
Deployment
After the prototype is deemed to meet industry standards and customer expectations, we make it available to the public. Our experts will track its progress and collect feedback data to determine if it’s a success.
Maintenance and Reiteration
Via a process known as reliability engineering, we will set up maintenance protocols that mitigate software failure, downtime, or crashes. Also, we’ll continue to deploy iterative efforts to constantly improve your products using consumer and expert feedback data.
