How AI Will Change Software Development Processes

These are the Top Things Software Leaders Should Know About AI

Artificial intelligence is a hot topic in the software development industry. A revolution is coming to the software development industry as we know it in the form of AI and it is important for organizations to know how AI will change software development and applications. Artificial intelligence utilizes machine learning to gather, categorize, analyze, and leverage data so that a machine can make intelligent decisions based on that data. As artificial intelligence advances, there is a strong possibility that it will be able to make more intelligent decisions than a human. in many areas. As it is, artificial intelligence can already assist humans in many phases of the software development process.

Because of the ability to streamline processes with improved efficiency and accuracy, and the fact that a machine can run nonstop, there is little doubt that artificial intelligence will play a critical role in the design, development, and deployment of software in the very near future. If you are an industry leader, work in the software industry, or are a thought leader in your industry, it is important that you have a good understanding of artificial intelligence. It is especially important to know the full extent of what AI is capable of in order to receive its full benefits and keep your business from falling behind your competitors. For this reason, we will take a closer look at some key points about AI.

 

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The Impact of Artificial Intelligence on Software Development

We are still a long way away from all software being developed using only artificial intelligence. And, while the role of a software developer may look very different in the next 5-10 years, that does not mean the role will go away because of technology. What is more likely is that the specific tasks a software developer performs will change and software developers will also learn to work alongside artificial intelligence. It is likely that AI will be able to perform many of the more routine and simple tasks–an area in which artificial intelligence already excels–enabling software developers to have more time to focus on complex problem solving. This combination will enhance and improve the process of software development, rather than take away from it.
Additionally, AI is likely to highlight existing areas that can be improved by software developers, and new software may be needed because of the differing needs of artificial intelligence. This will create a new need for even more software developers in the future. AI and software development are likely to grow together.

 

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Benefits of AI in Software Development

Artificial Intelligence Makes Fully-Automated Software Testing Possible & Fast

Software testing is a critical component of product quality assurance. Traditionally, quality assurance testing is a very time-consuming, tedious, and fallible task because it depends on humans. These are the areas where AI can be extremely beneficial. Because there is only so much manpower, time, and resources, that means bugs or other software problems can come to light after the product has been released. Artificial intelligence can improve the process to such a degree that these bugs are fixed before the product is released, greatly improving and shortening the development process.

With artificial intelligence, software development and software testing will be dramatically enhanced. As Forbes notes, “This is already helping improve overall software quality, as using machine learning to test software is the natural next step after automation testing. We’re already seeing testers use bots to find software bugs. Meanwhile, an emerging area involves testing tools that can use AI to help testers find flaws in their software and then fix code automatically after finding a bug. As an example, last year the Defense Advanced Research Projects Agency (DARPA) held a major event to develop systems that can automatically and autonomously “detect, evaluate and patch software vulnerabilities” to improve cybersecurity.

Artificial Intelligence Enables Better Developers

Rather than replacing software programmers, artificial intelligence will become a tool that software programmers use to gain new knowledge, streamline processes, and ultimately, write better code. Medium excellently explains the marriage between artificial intelligence and software developers, “Acellere CEO Vishal Rai doesn’t see AI as a replacement for developers, but rather for augmenting intelligence. AI will be able to use archives of available data, process it and bring meaning to it. Developers will remain in control, but will be enlightened by the processes of AI.” Furthermore, developers will be relied upon more and more to designing and finding creative solutions to more complex software problems, freeing them from more repetitive tasks like testing and adding to the value they bring to an organization.

Error Management Will Become Automated with AI

Traditionally, when an error was found in software, a developer would need to go in and look to investigate what the problem is. Then, if the problem could be found, work to correct it. This process, while perfectly fine, is time-consuming and error-prone. With AI, a software error can be automatically detected, diagnosed, and repaired without a developer ever having to touch it. This helps keep costs down and greatly improves efficiency.

Additionally, even if AI cannot identify the exact problem, it might be able to narrow down the areas that a developer needs to investigate to find the problem. This will greatly help to speed up both AI and software development processes.

Artificial Intelligence Provides Precise Software Developers

Software development estimates are always a challenging task because it is difficult to know what obstacles may be encountered along the way and just how over time and budget a project may go. Artificial intelligence can utilize all of its existing data from past projects and a variety of other factors that you want to include to help you determine a far more accurate software development estimate. This will make it easier for your organization to decide what projects to pursue and which projects to cut before getting started.

Artificial Intelligence Will Change the Way We Define a Leader

As artificial intelligence gets better and better at providing accurate insights that lead to better decision making, the level to which a leader has to rely on gut instinct will decline. Investors and stakeholders in organizations will be less compelled to rely on the guidance of an individual, and more on the guidance provided by complex algorithms leveraging millions, or even billions, of points of data. The role of a future leader will shift away from strategic decision-making, and towards the human and cultural side of a business, performing such tasks as mentoring junior employees, or corporate ethics.
Additionally, leaders will need to be able to determine which information should be included in these complex algorithms and be able to identify if potentially pertinent information is missing from the artificial intelligence programs they are currently using.

Artificial Intelligence Will Change the Way Users Interact With Software

The real time implementation of AI in software will dramatically change the way users interact with software. As the software learns a user’s behavior and responds to action, the ability of the application to serve variable content, to automatically adjusting font sizing, to modifying button and element positioning, will result in a dynamic software experience that is tailor fit to the user interacting with it. This enhanced functionality coupled with a continuous feedback loop gathered from users, will provide valuable tools to organizations, enabling improvement in areas like decreasing abandoned cart rates, or designing more useful and accessible software.
AI and software development of the future will go hand-in-hand, and it is important for organizations to understand how AI will change software development and applications so they can adequately respond to the new technology and stay ahead of the competition.
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