Software is the basis of most physical and technological advancements we see around us. The software world has grown very rapidly in the last few years and it’s not showing any signs of slowing down any time soon.
From Netflix’s home-binging videos to Amazon’s drone delivery services, software is heralding us into a new age where things are done easily and heavy tasks are automated with the punching of a few keys on the computer system. Many enterprises, governments, and private individuals have adapted to this changing effect and are building systems that embrace software development and its lifecycle.
The technologies that have also emerged in the last few years are massive ranging from Cloud-based hosting systems, advanced facial recognition and data analysis, plus a whole lot of other awesome technologies.
However, worthy of note in these various emerging technologies is Artificial Intelligence (AI).
What Is Artificial Intelligence?
Artificial Intelligence is known as the simulation of human processes by machines, especially computers. Specific application of AI includes speech recognition, language processing, and a host of other advanced stuff. But what we’re focusing on today is AI in Software Development.
Artificial Intelligence in Software Development
Software development is the process of creating and maintaining computer applications, frameworks, and other computer components.
It’s no news now that Artificial Intelligence (AI) is a leading frontrunner to changing how developers, testers, operations, and all major stakeholders in the technology industry work. Software developers can use AI to write and review code, run automated tests, debug, and most often optimize the software development project phase.
Common Challenges in The Software Development Life Cycle
Due to the increasing number of sophisticated technologies, workforce, use-cases, and so many other factors, software is getting more expensive to build and even much more to test and manage.
Some of the common challenges in the SDLC include:
- Planning Timeframes
- Failure to engage all stakeholders
- Human error
- Bugs in the codebase
- Last-minute / Inadequate testing
The list goes on and on, and this goes to show that as your software application grows, so do the challenges in maintaining it grows.
Artificial Intelligence To The Rescue
Artificial intelligence brought speed, precision, and efficiency to the entire Software Development Life Cycle (SDLC). It allows developers and all stakeholders to focus on the design and feature-building of the software rather than waste time and resources on bugs, repetitive tasks, or continual test cases.
We’ll be discussing the 5 most common challenges faced in the software development life cycle and how AI solves them superbly. They include:
1. Finding Bugs Faster