The company's machine programming research team says that ControlFlag has found hundreds of defects in proprietary, "production-quality" software, demonstrating its usefulness.
Intel principal AI scientist Justin Gottschlich wrote in a blog post on LinkedIn: "Last year, ControlFlag identified a code anomaly in Client URL (cURL), a computer software project transferring data using various network protocols over one billion times a day.
"Most recently, ControlFlag achieved state-of-the-art results by identifying hundreds of latent defects related to memory and potential system crash bugs in proprietary production-level software. In addition, ControlFlag found dozens of novel anomalies on several high-quality open-source software repositories."
The demand for quality code draws an ever-growing number of aspiring programmers to the profession. After years of study, they learn to translate abstracts into concrete, executable programs -- but most spend most of their working hours not programming.
A recent study found that the IT industry spent an estimated $2 trillion in 2020 in software development costs associated with debugging code, with an estimated half of IT budgets spent on debugging.