AI to Transform How Programmers Write Their Code in 2018

blog_img
One cannot deny the fact that AI development is soon going to grip and reaffirm the code written by the programmers, make it efficient and effective in the same way as the original code used to be.

While some App Developers feel that AI Development can finally lead to the eradication of programming; from improving technology to improving program’s features, you’ll get used to the idea how AI has been redefining the programming interface, thus producing robust and reliable software programs. Artificial Intelligence has already started changing the way how organizations do their business.

Use of Artificial Intelligence in Deployment

Deployment control remains the development stage and the most important platform for AI to work. Being prone to risks, here the application is upgraded in production to run a new version. But AI helps in mitigating the risks even before they arise.

Use of Artificial Intelligence in Software Testing

As compared to conventional heuristic-search-based patch generation Artificial Intelligence can work on bugs in object-oriented programs that are typically used for business application software development and even reduce the average time required to diagnose method invocation related bugs.

As part of the process followed by the automated patch generation AI development engine, a logistic regression model is created by acquiring the relationship between a library of existing buggy source code, followed by their bug reports and the final dapples for those bugs. Glitches in the code are sorted out according to their priority. The highest ranked ones are validated first. It must pass all the test cases before being recommended as a patch for the bug.

Changes that AI Development Can Bring into Software Design

A designer is always required to apply their specialized learning and experience to come up to a definitive solution. With AI development we need new designing and development tools that allow us to interrogate the intelligence. How would you derive from that conclusion? Certain rule-based systems and deep neural networks; AI takes up even more challenging problems and reduces the time it takes to fix up a task at hand.

Use of Artificial Intelligence in Software Development

From analyzing how data within the application flows to adjusting sections of the code until an expected output is produced, AI development helps in lifting up the speed with which various tasks in SDLC are carried out. The number of possible causes for most of the bugs is finite therefore it is always easy for machines with natural language processing algorithms to find out every trace of the bug in seconds which is a nearly impossible task for humans.

Artificial Intelligence will allow the developers to shift their focus from algorithm development to data development. For an instance, if you’re developing an image transformation, the focus must be on acquiring or creating a good training set instead of defining the algorithm. From understanding the data flow, AI’s are trained with small datasets that could be used with regulatory industries like businesses and in software development.

App developers need to understand the complexity of domains, require to understand which data are important and the impact of uncertainty on decision making.

For Project Managers

AI Development excels in the field of Project Management; from assessing a large number of variables of an entire project to giving useful insights to project managers into how their team is performing, a project manager can easily and safely offload tedious tasks to the AI. This process of AI Development lets studious ship higher quality products at a faster rate, thus attaining happier customers.

Also read: How AI Will Enrich Customer Experience?

Fetching Up

While AI Development has proven to be good at data analysis and other related tasks, it still does not understand the context and complexity of the code in the same way as humans do. Companies that make use of AI development practices conduct extensive analysis and research on AI systems to augment or replace their legacy software and codebases.

Top app developers will be able to create better software faster by making use of AI development technologies such as advanced machine learning (ML), business rules, deep learning and natural language processing.

In an effort to recognizing, evaluating and fixing software vulnerabilities, Defense Advanced Research Projects Agency (DARPA) tried creating frameworks to enhance cybersecurity issues. In a similar way, AI Development has enabled developers to become better as it likewise helps them to learn distinctive dialects and have changed the way developers used to function together.

YOU MAY ALSO LIKE
About Author
Neeti Kotia

Neeti Kotia

Neeti Kotia is a technology journalist who seeks to analyze the advancements and developments in technology that affect our everyday lives. Her articles primarily focus upon the business, social, cultural, and entertainment side of the technology sector.

MAKE YOUR IDEA REACH ITS GRAND DESTINY

WITH PRO WEB AND MOBILE SOLUTIONS

Looking for a development partner?

Portfolio

Visit Our Portfolio

Top Mobile Blog Winner

Top 15 Latest Mobile Blogs

Mobile App Blog Winner

Mobile App Blogs

SUBSCRIBE TO OUR BLOG

Top

Get a perfect quote

We’re eager to work with you. Please share your project goals and contact information. We respond to 97% of messages within 1-2 business day. Really!

Or send us an email at: [email protected]