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:
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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:
- 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.
- 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:
- 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.
- 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.
- 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.
- 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 India. We
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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