How machine learning in software development can be revolutionary

Estimated reading time: 4 minutes

With the days passing by we are relying more on the cutting-edge technology which is helping to shape our future in a number of ways. Whether it is from IT solutions to health industry services, we are dependent on the unfolding potential of digital innovation around us. Machine learning ml development is one of the important tools in bringing the revolution around us.

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In this article we will provide all the minute details not only about Machine learning but also how machine learning is a revolutionary innovation for development of softwares.

What is Machine learning ?

If we define Machine learning we can say that it is the learning of machines about the surroundings by analyzing the data around it. It can solely be done with pre-existing data or it can also be done with real time data analysis.

Machine learning comes under the genre of computer science and artificial intelligence. It uses the data and algorithmic patterns to learn something. The main focus of the development is to make machines like humans and increase their self-learning capabilities.  

For example – practical examples of machine learning can be given by self-driving cars, speech recognition software, chat bots in various website, virtual assistant, etc

Reasons how machine learning in software development can be revolutionary

1. Decision making process is not the easy part when it comes to developing a software. The members of the development team spend several hours deciding and making decisions according to the conclusion. It is discussed which features should be prioritized and which things to be ignored. With the use of ml development  machine learning we can massively reduce the timings of the decision making process by running diagnostics of the past projects. By doing so with the help of ML we can exponentially reduce the risk factor to the minimum level and get the capability of precise decision making. 
2. Sometimes the estimates of the cost input are assumed as well as calculated less for calculating the cost input or the data regarding production of products or services. With human intervention this problem arises and the company suffers a lot. It increases the cost input of the company or sometimes reduces production of products compared to the required demand statistics. Using the Machine learning tools for analysing the prediction of the data in precise manner can be done using resources like previous projects data, the stories of users, etc. reflects a more precise and accurate estimation for production of software development. 
3. Code review is one of the essential protocols that need to be taken care of while development of a software. A clean and neat code is always recommended by the experts for maintenance in the long term and for stress free collaboration. But when the company world is on a mass or big level there is always a chance of refactoring. This issue is handled very well by machine learning that automatically reviews the coding and highly optimizes it for boosted performance. Without the use of machine learning this work has to take 2-3 months to complete but with the technology of machine learning developers can complete it in a few days. 
4. Testing is a process of continuously checking the software after coding for the working behavior of the software’s. It includes checking the glitches and tweaks that are expected from the programmer. During this whole process if a match is found then the testing is passed and if it comes unmatched then the bug needs to be found to be fixed by the developers. All these tasks are tedious and repetitive tasks that need to be done carefully. With the help of machine learning the whole long hauling tasks can be performed automatically using the machine learning program. It significantly reduces the time and money , which can be used to focus on more important things.