Altran improves software quality with Machine Learning
Summary
By applying Machine Learning (ML) to historical data, the tool - called Code Defect AI - identifies areas of the code that are potentially buggy and then suggests a set of tests to diagnose and fix the flaws, resulting in higher quality software and faster development times. “It’s well known that software developers are under constant pressure to release code fast without compromising on quality,” said Walid Negm, Group Chief Innovation Officer at Altran. Historical data is extracted, pre-processed and labelled to train the algorithm and curate a reliable decision model. “Microsoft and Altran have been working together to improve the software development cycle, and Code Defect AI, powered by Microsoft Azure, is an innovative tool that can help software developers through the use of machine learning,” said David Carmona, General Manager of AI Marketing at Microsoft. Code Defect AI is a scalable solution that can be hosted on premise as well as on cloud computing platforms such as Microsoft Azure.
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