The software development process often includes many complex stages. To reduce costs and save developers time, AI has been applied to the software development process, especially the testing phase. So what is the impact of AI in software development? What are some AI tools that apply this technology in the software sector? In this article, let’s find answers to the above questions with BAP Software!
What is software development?
Software development is the process of creating new software. Source: blog.codingblocks.com
Software development is the process programmers use to create computer programs. This process, referred to as the Software Development Lifecycle, provides a method for designing software that meets customer specifications and requirements.
The software development process includes 6 stages:
- Determine requirements
- Requirements analysis
- Design software
- Development and deployment
- Software Testing
- Software maintenance
Read more detailed information about the Software Development Process here.
What role does AI play in software development?
The software development process becomes simpler and easier thanks to the application of AI. Source: thesoftwarereport.com
With the rapid development of information technology today, people often apply AI in the stages of software creation. AI has a positive impact on software design methods and creates applications of higher quality than traditional methods.
Below is the role of AI in some stages of software development:
- Data collection and exploitation:
One of the important tasks of AI is to collect and synthesize data from the Internet as well as customer requests. The data stream collected will be difficult to achieve effectively without the help of AI.
- Test automation:
Typically, tests will be repeated to find unexpected vulnerabilities. However, this process takes a lot of effort from the Tester, so technicians have applied AI to help create automatic tests. This helps automate testing, focusing on more complex goals, thereby improving the quality of software development.
- Create automated testing environments:
AI uses scientific algorithms to analyze data about old tests, thereby creating new test fields that are more effective in identifying defects.
- System maintenance:
Optimizing system maintenance is a quite difficult task because applications often contain a lot of information and grow more and more complex over time. Then, AI can be applied to identify the shortcomings of the test set and propose solutions to improve the maintenance system, thereby making maintenance easier and more effective.
Applying AI in software development helps improve the work of engineers through accurate planning, workflow prediction, right decision-making, better security and QA, and reduced workload.
What aspects of software development does AI impact?
AI is not only applied in the requirements-gathering phase but also helps humans design software and test software. Source: linkedin.com
AI not only plays an important role in software testing but also has a positive impact on the requirements gathering and software design process. Below are details about the impact of AI on several aspects of software development.
3.1. Collect requirements
During the requirements-gathering process, AI uses many methods and technologies such as Google ML Kit and Infosys Nia to automate the data collection process, while saving time and human effort.
Data collection is also an opportunity for technicians to detect software and data processing risks. At that time, people often applied natural language processing (NLP) – an artificial intelligence approach that helps machines analyze human requirements and create high-quality software models.
3.2. Design software
To create good quality software, software developers need to clearly define goals, and plan and design the project based on professional experience. During this stage, it can be difficult for the developer to choose the best design version and adjust it to best suit the customer’s requirements.
This process has been simplified with AI technology, thereby helping to solve difficult tasks and reach customer desires while editing designs with automation technology more smoothly.
3.3. Software testing
Software testing is only effective when there are coding changes, but this is a very time-consuming process. This process can be simplified with AI tools that help create new test fields and perform regression testing. Regression testing is the process of checking whether software functions function normally after system changes.
Using AI not only automates the testing process but also helps Minimize testing costs, time, and efficiency.
AI tools are often applied in software development
- Tool to automatically analyze and handle errors
AI machine learning helps analyze development system logs to find technical errors automatically. These technical errors will then be handled and the software automatically activated without any human intervention.
- Natural language processing tools
Natural Language Processing (NLP) is a field of Artificial Intelligence that helps machines understand human language. NLP combines the power of linguistics and computer science to study the principles and structures of language and create systems that can analyze and understand human language.
Natural language processing (NLP) is an important AI tool for software testing. Source: spiceworks.com
AI NLP tools can transform software testing content into automated tests, allowing the development of testbeds that meet the requirements of testers, developers, and customers.
- Abnormal detection:
Anomaly detection tools using AI can analyze large amounts of data to find errors. The tools then broadcast notifications to software developers to help them with their software testing efforts. These tools not only simplify software testing but also help create reliable, high-quality applications to meet the needs of the technology market.
The trend of AI application in software development
In the future, AI will be widely applied in software development. Source: bernardmarr.com
In the coming time, the impact of AI in software development will be even more evident as AI continues to develop and people’s demand for software increases. AI will tend to be more widely applied, AI algorithms will be improved to help businesses achieve their goals in the technology field. Not only that, AI will be integrated with emerging technologies such as IoT, Blockchain as well as new AI-based platforms.
Many experts predict that AI will continue to grow explosively until 2025. The World Economic Forum (WEF) also predicts that AI can replace 85 million jobs by 2025, showing the possibility AI has a heavy impact on labor market trends.
Therefore, experts believe that information technology human resources, especially software technology, need to develop to new heights to meet market demand, in terms of both quantity and quality.
In addition to expanding and improving the quality of AI, people will analyze the ethical implications and consequences of using AI in technology development. At that time, experts and stakeholders will need to promulgate ethical regulations and principles when using AI in all aspects of application development.
The application of AI in software development is a big step forward in the software technology industry. This trend not only brings many benefits to developing businesses but also meets the market’s huge technological needs.
Conclude
The above article is all information about AI in software development, some commonly used AI tools, and the future trend of applying artificial intelligence in the application creative industry. Hopefully, this will be the useful information you are looking for. BAP Software is currently one of the reputable units providing AI technology services. If your business has a need, please contact us immediately!
