4 mins read

How AI is Transforming the Development and Coding Environments?

4 mins read

Artificial Intelligence is a technology that every day sows the seeds of innovations with a motive to transform the traditional ways of computing, even if it’s as old as yesterday.

With digitization prevailing in every sphere of work, where we expect machines and automated devices to ease our daily chores, the IT-sphere too has accelerated its pace to foster innovations with the helping hand of AI in software development and coding.

Software is seen at the core of all the technological upheavals as every e-device we use embeds software codes and algorithms within, that ultimately, smooths our activities and make us do smart work.

With that said, all software companies are adopting the most emerging technologies to drive transformation within the software development spectrum, thus, keeping high expectations from Artificial Intelligence and its subsets.

Traversing the stages of software development, let’s see how Artificial Intelligence intervenes in different segments of the SDLC, redefining the traditional approaches.

Requirement Gathering

This is the initial phase of software development which involves human interference at its max in order to forge a clear base of the client’s understandings and project requirements.

The documentation prepared in the first phase forms the basis of the second which makes requirement gathering a very crucial level to acknowledge even the minute aspect of the undertaken project as even a single hair has its own shadow.

In this case, AI offers a broad range of tools that execute on Natural Language Processing, an AI technique, that helps automate human efforts wherever they can be replaced by machines. The most common and elementary reason behind a project’s lack of success is not related to technicalities but rather problems with the requirements.

Requirement Analysis Tools (RANT), is an NLP-based system which is been implemented by various IT companies which help analysts to perform a more accurate and complete requirements review. It helps to assess the requirements quality producing a final evaluation regarding the text structure and ambiguity.

QuARS is another popular NLP tool for requirement analysis.

The tool employs several NLP techniques like tokenization, part of speech tagging, sentence splitting, etc. however, in an attempt to ease the first stage of SDLC, no technique is developed that totally eliminates manual work at the initial level.

Software Designing

To propose a unique solution to a client concerning his project, creative designs and graphics surge as one of the most significant components of a software or an application.

Further, it requires specialized learning and experience to create software designs well-suited to the client’s needs. With software development requiring a myriad number of changes and iterations at each level, setting an appropriate design that finally reaches the client’s desired solution need to be an error-free task.

And offering a helping hand, there are a few AI-powered tools available in the market that help boost design efficiencies and manual work, thus creating a personalized and humanized experience with a data-driven design approach.

AIDA (AI Design Assistant) is one name that supports designers to examine different combinations and themes of software design and present customized solutions as per the business requirements.

You may check out some other Powerful AI-enabled Design Tools that can assist designers to transform their sketches.

Software Development & Coding

Coding is, undoubtedly, a very uncertain and time-consuming process when aligned with the purpose of the target goal. And tough coding parts often involve errors, defects, and complexities while developing intricate software and tools.

Nevertheless, the present-day technologies and AI techniques are such that they can assist developers in their role to a great extent automating the major segments of code generation while simultaneously detecting and removing bugs and errors.

Talking about DeepCoder, a Microsoft and Cambridge University’s allied AI system can write working codes searching the whole database repository and strives to make the best possible arrangement of codes.

Enhancing its coding traits in the future, the Microsoft professionals believe that it could be very useful for non-coders as they could expect an entire code for their program idea developed via such a robust and self-regulating machine system.

Prefer reading DeepCoder’s documentation.

Software Testing

Software testing ensures product quality.

And, practically, testing is that particular phase that involves uncountable rounds of verifications, validations, and checks that run on repeat unless complete satisfaction is achieved.

While testing is executed on a repeated basis this proportionally links the development team to modify the source codes accordingly which certainly becomes time-consuming, resource-consuming as well as expensive.

With new capabilities evolving, Artificial Intelligence takes the role to create test cases and perform regression testing to ease the efforts made while testing a software product rigorously.

Software test automation tools are already in use but are working with some limitations but AI supports these tools to further help testers and developers to add more value and acquire expected quality outcomes out of testing without direct involvement in the most mundane tasks.

You may take a look at the popular AI-supported Software Testing Tools.

AI to Empower IT Industry to Become Intelligent and Efficient!

Artificial Intelligence along with its sub-segments like Machine Learning, Deep Learning, Natural Language Processing, and many others are driving unpredictable and incredible innovations in the digital world.

AI the umbrella technology is helping IT enterprises to revolutionize their old school operations and solve critical, high-value issues with data-driven insights in the most realistic and relevant manner.

For the years to come, AI will render more innovative techniques to develop smart and intelligent tools that will empower the software development industry. If you plan to incorporate Artificial Intelligence in your SDLC, experts at CodeGlo can assist you in its seamless integration while closely understanding your vision to adapt to new tech advances.