As a programmer, the most annoying thing is to look for bugs and fix bugs. However, the human brain has Evergrande's forgetfulness, and the back-end code of a software is not as simple as a dozen or so thousands. So looking for loopholes in large data codes is a very painful thing. With the advancement of technology, AI technology can solve this problem for us.
In the past, software vulnerabilities were discovered and patched by programmers. Nowadays, artificial intelligence technology is accelerating. If the work of troubleshooting and repairing vulnerabilities is completed by artificial intelligence, it will help to improve efficiency and quality.
From simple manual operations to complex legal decisions and medical diagnostics, robots and artificial intelligence are replacing humans at an alarming rate. Although artificial intelligence itself and most software are still largely written by humans, there are signs that this is changing.
There are several programming tools available to automate software testing. This kind of future looks very exciting, but it also brings some questions, such as how far is the industry suffering from embezzlement? Will there be a world like a Terminator in the future, and the programming software will eventually make the human counterparts become unemployed?
Our computer programmers have invested a lot of time and effort in testing software and fixing vulnerabilities. This process is not only costly, time consuming, but also requires high precision. This is very important if you want to design high quality software. One common method of testing software is to run a program that asks it to perform a specific task and observe how it is handled. This approach is called dynamic analysis and many tools can help with this process.
Facebook recently announced a tool called Sapienz that has made a huge leap in this space. Originally developed by University College London, this tool is able to identify vulnerabilities in Android software through automated testing. Sapienz contains an evolutionary algorithm that makes new choices based on software responses. Its goal is to find the largest number of faults and complete the largest amount of testing, completing tasks as efficiently as possible.
Facebook may soon be welcoming DiffBlue's competition, a company derived from Oxford University. Based on an artificial intelligence engine that analyzes and understands the program, the company has developed several automated tools to help programmers. One can find vulnerabilities and conduct software testing, and the other can find weaknesses that might be exploited by hackers. There is also a software that fixes code that is outdated or can be improved. DiffBlue recently received a $22 million investment and announced that it will be deployed to many blue chip companies.
We have developed tools dedicated to finding bugs in the program. Usually, software vulnerabilities are usually just an unintentional mistake by a finger. For example, when writing "+", it is written as "-", which is not much different from the input of Word documents. Or because of the difference in computer scientists' counting, they start counting from 0 instead of starting at 1, which leads to the so-called difference error. You will find these annoying glitch during program testing and will need to repeat testing and tuning until all faults are eliminated.
And the Sapienz tool works like this. Office workers perform normal work tasks during the day and report any software vulnerabilities they find. After people get off work at night, the system makes minor changes to the computer code and checks if this adjustment fixes the reported vulnerability. Feedback from each code run is used to infer that the change will be the best choice for the next test.
A staff member in Reykjavik conducted a four-month test of Sapienz involving approximately 200 users. That test found 22 vulnerabilities, and all were automatically fixed. Every time the solution is done at night, which means that when the programmer arrives at the office in the morning, a list of bug fixes is waiting for them. This technology will change the programmer's work, they no longer need frequent program verification, and have more time for research and development. Staff have also shown that the same system can be applied to other different tasks, including making the program run faster and improving the accuracy of the prediction software.
It is easy for us to understand the benefits these programs bring to software developers, so what are their negative effects? Will major companies lay off their IT departments? Should programmers start to worry about their future? We don't think this will happen. While the rise of automated software testing tools has the potential to cut down some low-level programmers, we believe that the introduction of these tools by the software development department can make programmers more creative. They will have more time to develop rather than maintain, which can lead to exciting designs.
Posts in the computer field will not disappear, but some boring work may disappear. Programmers, software engineers, and coders will have more automated tools to make their work easier and more efficient. Although the job may not change too much, we must also learn to adapt to the development of technology. If we don't, we will fall behind the whole society.
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