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How is AI going to affect the software development?


AI has remarkably impacted many businesses and software development is also not untouched from receiving a huge impact. Looking at the trends, we can say that artificial intelligence is going to be present in all kinds of technology. Almost all the big technical masters including Google, Facebook, Amazon and many more have invested in Artificial intelligence looking at its potential in the coming future. 

Software development includes writing the codes to solve the problems using logic. The age of artificial learning will forever change the programming without the need for human intervention. The introduction of artificial intelligence will change the ways how problems are solved and what a software programmer does. 

Though the use of Artificial intelligence in software development is in infancy right now, in the coming years the technology is going to make some massive change in the traditional way of developing software. There may be some failures and pitfalls, but still, the contribution that Artificial intelligence is going to make is valuable. 



In software development, planning a project and developing it from scratch requires the designers to use their specialized learning and expertise. A software developer brings the plan to action and keeps changing the plan until he reaches to the desired solution. This process is tedious and requires a lot of hard work. Besides, there can be chances of human errors. So enhancing the traditional method of developing software by adding the assistance of intelligent specialists is much required. Below are given some of the areas in software development where artificial intelligence in the future will make a difference:

  1. Change in MVP – Minimum viable product is a developmental technique where a new product is developed by enough features so that early users can use it. The final product is only developed after considering the feedback given by the initial users. This way, with the traditional development, it would require months of preparation and a lot of resources were needed to create a prototype to get more funds. Machine learning will shorten this process significantly. 
  2. Project management – Project management requires managers to learn from past mistakes, delays, and pitfalls. If all such data is stored, it can be used to train the Artificial intelligence to make accurate predictions and estimates. Such a process will only need all the detailed data of past projects like estimates, actual values, user reviews, and bugs. 
  • also allows us to be on a delivery schedule and to fulfill the obligations according to the contract terms. Artificial learning can also create personalized work schedules by tracking the work pattern of each individual in the team for maximum efficiency. 
  1. Debugging – Artificial intelligence can speed up the debugging process by quickly spotting the errors and correcting them automatically. However, the problem with such an approach will be the annoying correction of what isn’t needed to be changed.
  2. Code generation – AI, by putting some pre-defined modules together can generate code easily once it learns the required patterns. The self-programming machines in the future can replace the work of junior programmers.
  3. Intelligent Assistants- Most of the programming settings has embedded help. With artificial intelligence developing process can speed up as it is going to make the novices to learn about the settings in a much faster way than the traditional trial and error. AI can offer recommendations and help in preventing the common coding mistakes like closing a parenthesis. A smart assistant developed for Python is called Kite.
  4. Self-testing – Testing is a crucial element for developing a good software product. For testing a product, a comprehensive list is created which includes the most likely common cases which can have a significant impact on the programs’ performance. Artificial intelligence can simplify this by tracking the past logs and creating a list of cases that are automatically run to test the software. Artificial intelligence can save a lot of time by only focusing on the problems that can cause severe trouble. 
  5. Simulations – Before developing software, it’s common to ponder over which feature to include in it and what would be the impact of the features added. Artificial Intelligence can generate simulations and can predict the success of the product based on the popularity of similar products and by analyzing the reviews of the customers on social media. 
  6. AI in decision making – Usually, developers have to work very hard to find out what features are needed to be included in the product. With machine learning and AI analyzing the past development projects is easy, which can help both developers and business stakeholders determine the impact of the product and the risk involved. AI canvas is a good tool for strategic decision making. It helps in identifying the important questions and the challenges associated with developing and incorporating machine learning models in the business. 

Artificial intelligence and machine learning are now only been used through some special tools which are designed for specific purposes. In the coming future, we will see Artificial intelligence becoming part of SaaS packages. Already AI-driven algorithms are used by cloud services, and it’s not far when AI tools will be incorporated in subscription-based services. Here are some of the examples of AI integration in Software development:

  1. Deep code – This is an AI programming tool that is developed by a startup DeepCode located in Zurich. The tool learns from 250,000 code rules available on GitHub repositories, thereby guiding the programmers on how to fix the code. In simple terms, we can say that the tool reviews the codes and find out the bugs present in the code which help the programmers to deliver clean and trustworthy codes. 
  2. Google bug spot tool w3C – This bug prediction tool uses machine learning algorithms to find out the flawed code. The metrics that are used to make predictions are the number of lines of code, the number of dependencies required, and whether the dependencies are cyclic or not. 

Benefits of Artificial intelligence in the field of software development which is going to change the businesses of software development company India are:

  1. Accuracy – Humans are flawed, and they make errors. Even highly skilled tester can make some mistakes while testing the product. Automatic testing can do the task with precision, and it can never miss specifying the accurate outcome. Using automatic testing can save a lot of time of testers which they can utilize in developing new software tests. 
  • can eliminate the drawbacks of annual testing as it is unsustainable for quality assurance segments to do a web app test with thousands of users. Automated testing can be used to trigger thousands of groups of users who can communicate with the web-based app. 
  1. Provide support to developers and testers – Developers can work on the errors detected by computing devices during the testing before sending the product to quality assurance. These tests are automatic, and when any code alteration is detected, the app builder is notified. These are some of the things that AI can offer to secure the time of the developers and to enhance their confidence.
  2. Benefitting from whole test Scope – Software testing, which is done with artificial intelligence gives in-depth results of the tests which enhance the quality of the software. Software testing done by Artificial intelligence enables testing document content, storage capacity and data tables to ensure that the software is functioning as it normally should or not. Thousands of tests are possible with the help of AI, which would not have been possible with the traditional method of testing.
  3. Saves time and focuses on quick marketing – Whenever the source code is altered to eliminate the error, manual testing can be very time-consuming and expensive. On the other hand, AI-driven testing can be performed many times without having to spend a lot of money on testing. The time taken in testing the software can significantly reduce to a few hours from a few days with the help of artificial intelligence. 

A double edge sword

Though we have discussed many benefits of AI in software development, everything has its downsides. The learning process of an algorithm is not visible to the observer, and the only way to find out is by feeding the algorithm with new sets of data and evaluating the outputs. This process is inefficient when it comes to software development. It can sometimes lead to a dangerous outcome. As for now, AI-based tools are just to enhance the efforts of developers to deliver a better and useful product. 

Conclusion 

Most of the people will inoculate that in coming few years, Artificial Intelligence will cause software developers to lose their job. It is not going to happen anytime soon as AI has just started to get reliable, and it will take a lot many years when AI is fully functional in the field of software development. AI will act as an assistant to software engineers to speed up the process of software development which ultimately is going to help Software Development Company IndiaWe can say that it will be interesting to see future developments happening in the field of software development empowered by AI. While AI will allow the engineers and developers to focus on improving their skills, it will also make the process of software development more efficient, faster and less expensive. 

Working as CTO at Rushkar Information Technology LLP. Having 9+ years of experience in IT industry, I'm dealing with major technology platforms - Java, C#.NET, IoT, Raspberry PI, etc.



References:

https://jaxenter.com/ai-change-development-processes-148462.html
https://dzone.com/articles/artificial-intelligence-in-software-development-te
https://www.bbvaopenmind.com/en/technology/artificial-intelligence/how-ai-powered-tools-are-bringing-revolution-to-software-development/



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