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If I were to teach the courses I teach in small classrooms at Penn to an online class of hundreds or thousands of students, I would need intelligent tutoring systems, intelligent auto-graders, even intelligent exam grading strategies.
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“I’m involved in Penn Engineering’s online education initiatives,” Naik says, “and a lot of the technology that I use in my research can not only help professional developers but also students who are trying to learn how to program. Naik is also finding ways to use artificial intelligence to educate the next generation of programmers. So it’s very tantalizing to have some technology that will prevent you from making these same mistakes that programmers have been making for generations,” says Naik. “It is well accepted that given the way we train programmers today, using the same textbooks and same principles, they will go on to make the same mistakes. The appeal of this type of artificial intelligence, for Naik, is not to take over a programmer’s job, but to add value to what the programmer is already doing. “For example, it could tell them if they are about to create a well-known kind of security vulnerability, then point out how others ran into the same problem and fixed it in the past.”
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“We envision the system as analyzing code as the programmer writes it, in real time,” says Naik.
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The ASPIRE compiler uses ideas from AI, as does another of Naik’s research projects - an AI assistant for software developers. Naik is also bridging this gap via artificial intelligence tools. If anything this gap has grown wider and wider over the years, introducing new challenges.”
“Programmers like to communicate what they want to do in very high-level languages, and on the other hand machines are used to dealing with the 1’s and 0’s of binary or assembly languages. “I’ve always been interested in bridging the gap between humans and computers, and compilers are an excellent example of that,” says Naik.
“But we want to explore transformations for reducing complexity of software, to make it harder for cyber attackers to exploit weaknesses.”Ĭompilers were one of Naik’s original interests in computer science. “Traditionally, compiler transformations have targeted performance: How can I make a piece of software run faster?” Naik says. One of Naik’s projects, called ASPIRE, hopes to address this issue by creating a special type of compiler - the software that transforms code from one programming language into another - to help simplify programs. If a programmer doesn’t understand the entire codebase, he or she is bound to miss some weak spots. In some cases, defects and potential points of attack can arise when software is overly complex. “Cybersecurity has become one of the main ways to improve quality, not just performance or energy efficiency,” Naik says. Through his research, Naik hopes to both help people better their own software skills, and create artificial-intelligence-based tools than can improve their software for them.īetter often means safer. “The overarching goal of my research is to help programmers and developers build higher-quality software,” Naik says, “and I’m most interested in using machine learning and artificial intelligence to do so.” Naik’s work aims to stop these sorts of problems before they take shape. For example, fatalities with self-driving cars, or cyber criminals that can take advantage of software defects to steal private information.” “Today, the impact is much more dramatic. “A few decades ago software malfunction typically meant you just needed to reboot your computer,” says Mayur Naik, associate professor in the Department of Computer and Information Science. As software becomes more integrated into our daily lives, these gaps have growing implications. Meanwhile, as modern software ecosystems grow more and more complex, even those who do spend their undergraduate years studying computer science cannot learn everything.
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In many industries and academic fields, more people are finding it helpful to know some basic programming, but not all of them want to get full degrees in computer science.
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