It hurts to see your programs taken apart and their weaknesses exposed, but it will make you a better programmer.

Software engineering is undergoing a disruptive phase of greater automation owing to the emergence of large language models (LLMs) that generate and edit code. This progress creates public excitement ...

Abstract: Static code analysis techniques examine programs without actually executing them. The main benefits lie in improving software quality by detecting problematic code constructs and potential ...

Abstract: Data dependencies are a crucial aspect when software needs to be run on multiprocessor systems-on-chip (MPSoC). These dependencies between different code sections can lead to data exchange ...

Semantics-driven static analysis could be used to improve the safety, correctness, and performance of Unix, Linux, and macOS shell scripts, researchers say. Semantics-driven static analysis is being ...

ABSTRACT: Security vulnerabilities are a widespread and costly aspect of software engineering. Although tools exist to detect these vulnerabilities, non-machine learning techniques are often rigid and ...

Much has been made of the abilities of the new developments in machine intelligence and in particular of what chatbots such as ChatGPT that are based on large language models (LLMs) are capable of.

Whether you're a professional tradesperson, a hardcore DIYer, or a casual hobbyist, if you use tools at all, you probably know just how expensive they can be. That applies to everything from basic ...