What Came First, Math or Computing?
November 2023 - Vol. 66 No. 11
Features
Lessons from PL/I: A Most Ambitious Programming Language
Quantum Speedup for the Fast Fourier Transform?
Accessibility and Inclusion through Technology
Legal Challenges to Generative AI, Part II
On Being a Computer Science Communicator
The Infrapolitics of Algorithmic Resistance
DevEX: What Actually Drives Productivity
The developer-centric approach to measuring and improving productivity.
Scrambled Features for Breakfast: Concepts of Agile Language Development
Informatics Higher Education in Europe: A Data Portal and Case Study
Technical Perspective: What’s All the Fuss about Fuzzing?
"Boosting Fuzzer Efficiency: An Information Theoretic Perspective," by Marcel Böhme, Valentin J.M. Manès, and Sang Kil Cha, presents a novel twist to fuzzing that is shown to increase the central metric of the number of bugs found.
Boosting Fuzzer Efficiency: An Information Theoretic Perspective
In this paper, we take the fundamental perspective of fuzzing as a learning process.