Artificial Intelligence (AI) is the process where computer systems can perform tasks that typically humans perform including research, decision making etc. The computer systems can also be trained to solve problems and all of the above occurs by training the computer systems in studying data and patterns in the same.
AI is a broad umbrella and under it, there are different categories like robotics and related applications, machine learning, natural language processing etc. As a leading software testing company in UK and software development company in USA, GRhombustech brings rich expertise to the field. Based on our experience and observations, some of the ways AI can help achieve better results in software testing are
1. Automation of processes
Test cases can be automated by self-learning machine algorithms. Further, with more machine learning, test scenarios themselves can be identified and the system can also come up with proactive suggestions. Certain repetitive and time consuming test tasks can be readily automated and such tests can provide a wealth of information on software and code stability.
2. Focus Areas
With the analysis of historical data by AI systems, critical focus areas can be easily identified. This will help to proactively fill the gaps and undertake better testing. Thus, the weakest link in the chain will be identified easily and covered, thereby ensuring a stable release. Test cases can also be grouped based on impact and relevance. Thus, the number of test cases can be optimized without any compromise on the integrity of the testing process.
3. Analysis of test logs and associated data
AI can analyze the test logs to identify patterns and anomalies that may not be noticed during a manual analysis. This is especially true in the case of complex software products where the links may not be directly evident. This helps in identifying and resolving issues more quickly.
4. Security perspective
AI can also make specific analysis of code and test software from a security and vulnerability perspective. As the best cybersecurity company in UAE, GRhombus has a variety of tools and techniques in the domain of cyber security.
5. Simulations
AI can simulate user behavior to test the software under different scenarios. By using techniques like reinforcement learning, this will help identify trends and bring a more real-world use case to the testing perspective in the test bench itself!
6. Quality
AI can integrate in a CI/CD (Continuous integration/Continuous Delivery) pipeline. This allows software testing throughout the process and thus ensures quality throughout the process. Defects reaching the live/production scenario are thus minimized.
The main advantages of using AI for testing are:
- Less errors due to human fatigue
- Scalable solution
- Ability to handle different complexity levels of testing simultaneously
- Enlarged scope and coverage of testing
- Faster testing and result delivery without compromise on the integrity of testing
- Precise testing in identified areas
- Predictive analytics can be incorporated
About GRhombustech
GRhombustech is a leading software development company in UK. Apart from software development, we are also among the leading cyber security companies in UAE. GRhombus has established itself as a pioneer in Data Visualization, Edtech, IoT Testing, Salesforce Development and Cloud Testing. Driven by the guidance of experts with more than 25 years of industry experience, the GRhombus family now has over 200 employees. Established in 2014, GRhombustech has delivery centres in India at Hyderabad, Chennai and Bengaluru, and partner offices located in the USA and the Netherlands.
For additional details, please contact us.
