AI has a great impact on all types of businesses and software development is not an exception. It makes the customization process of software easier, faster and offers a new paradigm in the whole operational process. Looking at the current trends of businesses, each of them wishes to offer quality services to its customers and acquire more satisfaction rates. You will get hundreds of apps where AI has played a major role in improving the experience of the customers.
If you wish to hire software development company for enhancing the position of your business in the market, then do remember to include AI in the process.
AI and the software development process
AI has helped developers to code better and testers too can test the software more efficiently. This has increased the contribution of machine learning for testing software. Bots now can look for bugs automatically in software.
Strategic decision making can be accelerated with the help of Artificial Intelligence. Developers have to go through a tedious process to understand whether or not to incorporate a particular feature in the software. The process of software development has been enhanced with AI solutions. It not only helps in analyzing the existing solution but also reduces risks and maximizes impact.
Nowadays customers are seen to be inclined towards open source programming because it lowers their overall cost of software development by allowing developers to reuse their base model.
According to the 2018 study by Deloitte, of 1100 commercial applications, 96 percent are found to be using open source platforms. The researchers also jointly agreed to this fact that the growing demand for open-source software platforms can be owed to the large availability of open-source software to the developers for using or tweaking it to tailor specific needs. (Source)
As already mentioned, most of the software requirements demand the use of AI these days as it cuts the time of production making the way for timely deliveries and doubling revenues eventually.
In case you want to know which specific tasks under the domain of software programming demand the use of AI, then here are some of these illustrated in detail:
Specific project requirements
This often becomes not only the cause of delays but also cost outruns ultimately resulting in project failures. This mostly happens when the programming tasks do not align with the user needs on a provided software platform. Concerning this problem, Deloitte says in a report that some companies are making use of various tools that are reported to decrease requirements review time by 50% or more. (Source) The tools are designed to look and resolve flaws like ambiguities, incomplete requirements, missing unite or tolerances, etc.
Analyzing code and identifying bugs
You can think of these as something similar to Gmail's ML-powered smart response technique and in this case, while researchers are typing a line of code, the AI-powered code completion tools will offer recommendations for completing the code. And according to researchers, this tool has been found to reduce the keystrokes of programmers or coders by 50%. Some of the examples of these AI-driven tools are Facebook's Getafix, Semmle, which is Kite's auto-complete tool meant for python programmers only.
Software testing
Automated software testing has been going on for years now, but when AI is added in it much of the analysts' time can be saved because it can automate test runs besides generating test cases. According to reports released by Forrester Research, a private equity firm has succeeded to create more than 50% of the test validation cases just by using an AI-based application. (Source)
Deployment
With the help of AI-driven tools, you can predict certain trends that otherwise would have been possible only after the deployment of the application. In this regard, Schatsky added that these tools can speedily detect root causes of failures thereby paving the way for quick recoveries, and this way an e-commerce company has enabled to cut down 75% of their time to resolve and restore failures. (Source)
Project management
AI-based tools have arrived in the market which would feed off the data from your existing projects and would generate the requirements of your future projects in a jiffy, thereby making project management more effective.
How has AI helped?
The incorporation of AI in the process of traditional software development has helped in many ways. Some of the advantages will be:
1. Developing software would basically mean turning a business idea into technology. This is not at all an easy process and needs a lot of planning. But when AI is incorporated, the whole process will be shortened by enabling less technical domain experts to develop technologies by using natural languages or visual interfaces.
2. AI will prove to be an intelligent programming assistant. Documentation and debugging is a time-consuming procedure for developers. AI can contribute to making the process shorter and as a result, time will be invested in important things that are needed to be done.
3. Being a programming assistant, AI can learn from past errors and flag them off automatically during the development process. AI can detect system logs too and in the future, it will help the software to change dynamically without any human intervention.
4. Clean codes are necessary for team collaboration and long term maintenance. AI can help to analyze the code and will get optimized automatically for interpretation and performance.
5. Precise estimations can be done with the help of AI. The process of software development can go way over budget and timeline. For reliable estimates, one will need expertise along with understanding the context. Machine learning uses data from past projects to formulate estimates. This makes the estimations accurate and this works better for the whole project.
Incorporating technology into your business takes time and involves a lot of planning. With the help of AI and machine learning, companies will be able to deliver custom products in a lesser time which will ultimately lead to increased revenues.
