How Can Artificial Intelligence Improve Software Development?

Software Development Technologies Mar 5, 2021 4 minutes

We are all witnessing how enterprises like Amazon implement AI technologies and create drone deliveries and different augmented reality offerings. Over the last few years, software development has significantly transformed finance, healthcare, retail, and a lot of other industries worldwide. When it comes to AI's influence on software development, it is wrong to think that it is like robots will replace humans. Artificial Intelligence tools help software developers, QA engineers, business analysts, and product managers to produce high-quality software products at lower costs. However, it is not only employees who take credit for AI technologies. According to Deloitte analysis (2019), startups that offer AI-powered software increased ROI by $704 million over one year. The report on Artificial Intelligence for entrepreneurs by Teradata reveals that more than 80% of companies began investing in AI in the last year. On the report of Techjury, the global AI market is expected to reach $60 billion by 2025.

Wind of changes in the software development process

The backlog in development will look completely different than it does today. The set of tasks for engineers will include interactions with AI tools to have the work done faster and more efficiently. 
Artificial intelligence is already excelling at completing simple, repetitive, and time-consuming tasks. And this tendency is going to continue and transform the workflow. Engineers stand to take a more solution-oriented approach to enhance software development and overcome more complex challenges. 
Examples of AI impact on different software areas:

Collecting data

One of the hottest topics today is balancing between automation and human intervention. With the help of AI, the process of gathering, analyzing, and proceeding with the requirements has been simplified. The technologies like Google ML Kit, Infosys Nia, and Natural language processing automate the SDLC process. It is possible to get a high level of software models with AI technologies, but machine & human interaction here still needs to be better outlined and improved.

Improved strategic planning

It takes a lot of time for management to decide which features to build in a product. However, some AI solutions can analyze the software’s performance and suggest recommendations based on the previous business factors. Our product Marquettè ® can generate these recommendations for you and help transform them into tech specifications. This is a real win-win game as both engineers and business owners maximize the product’s impact and minimize risks within a short span.
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Software design

In designing and building software, settling on the right plan alternatives plays a considerable role. As a rule, a designer starts with creating a vision of the solution, proposing several implementation choices. Naturally, this process is tedious, mistake-prone, and requires extra attention. 
Several AI tools act like moderators and enhance conventional methods with skilled experts. Such technologies propose ways to develop a project, highlighting various combinations to deliver personalized solutions for the end-user.

Intelligent code generation 

Code duplication and omissions may jeopardize the overall process of software development. However, the good news is that AI-powered tools can prevent engineers from making these mistakes. To overcome resource concerns, AI tools for developers aim at reducing the load by generating codes at the beginning of the development stage. 

Enhanced Data Security

“Better safe than sorry” is a totally correct statement when it comes to software security. Typically, the system gathers data from the product and networks, installed on the customer end to discover potential vulnerabilities. Artificial intelligence can examine the data before the system performs irregularly. Software companies need to install AI tools in the development process to prevent themselves from outdated alarms and notifications. 

Quality Assurance

With the help of AI, engineers can write code better, detect faster bugs, and promptly fix them. Machine-learning algorithms help developers to increase the overall quality of systems. Apart from software engineers, QA experts also get the convenience of using AI-powered tools to spot bugs faster. Both testers and developers are looking forward to leveraging AI tools that not only find flaws but also correct them automatically. 

Deployment Control

In the deployment stages, developers upgrade the software to newer versions. In this stage, any failures from the development side may cause severe problems related to software performance. Thanks to AI, there is a lower risk of deployment failures and increased protection from such vulnerabilities. Moreover, developers can scan for flaws during the upgradation process using machine-learning algorithms. 

 

Conclusion

 

No doubt, AI is going to be a game-changer in the software industry. However, AI-powered software won’t replace developers, project managers, testers, and business analysts in the future; to become more efficient and productive, previous expertise and skill set are required for harnessing the power of AI. 
AI tools are undeniably the future of software development, and adopting them is an innovative decision companies can make. With Devtorium by your side, your new software product will be designed and developed in a cost-effective, secure, and scalable manner. We have worked with cutting-edge technologies and even built our own AI product so you can stay ahead of the competition and provide your clients with unique quality products. 
Discover the power of AI for your business by scheduling a consultation with our experts today.

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