Software development often involves many complex stages. To reduce costs and save time for developers, AI has been applied to the software development process, especially the testing stage. So what is the impact of AI in software development? What are some AI tools that apply this technology in the software field?
1. What is software development?
The software development process consists of 6 stages:
- Determine requirements
- Analyze requirements
- Software design
- Development and implementation
- Software testing
- Software maintenance
2. What Role Does AI Play in Software Development?
Data collection and mining: One of the important tasks of AI is to collect and synthesize data from the Internet as well as customer requirements. Data collection will be difficult without the help of AI.
Test automation: Normally, tests will be repeated to find unwanted vulnerabilities. However, this process takes a lot of effort from the Tester, so technicians have applied AI to help create automated tests. This helps testing become automated, focusing on more complex goals, thereby improving the quality of software development.
Creating an automated test environment: AI uses scientific algorithms to analyze data from old tests, thereby creating new test environments that are more effective in identifying errors.
System maintenance: Optimizing the maintenance system is quite a difficult task because applications often contain a lot of information and grow more complex over time. At that time, AI can be applied to identify the weaknesses of the test suite, 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, predicting workflows, making the right decisions, better security and QA, and reducing workload.
3. AI Tools Commonly Used in Software Development
Automated Error Analysis and Handling Tools: AI machine learning analyzes development system logs to automatically find technical errors. These technical errors are then processed and automatically activated in the software 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.
AI NLP tools can convert software testing content into automated tests, allowing the development of test cases that meet the requirements of testers, developers, and customers.
Anomaly Detection:
AI-powered anomaly detection tools can analyze large amounts of data to find errors. The tools will then issue notifications to software developers to help them test the software. These tools not only simplify software testing but also help create reliable, high-quality applications to meet the needs of the technology market.
4. Trends in AI application in software development
In the coming time, the impact of AI in software development will be more evident as AI continues to develop and human software needs increase. AI will tend to be applied more widely, 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 develop explosively until 2025. The World Economic Forum (WEF) also predicts that AI can replace 85 million jobs by 2025, showing the ability of AI to strongly impact labor market trends. Therefore, experts believe that IT human resources, especially software technology, need to develop to new heights to meet market demand, both in quantity and quality.
In addition to expanding and improving the quality of AI, people will analyze the ethical impacts and consequences of using AI in technology development. At that time, experts and stakeholders will need to issue regulations and ethical 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 huge technological needs of the market.
