John Regehr, Professor of Computer Science, University of Utah, USA
[This piece is co-authored by Jubi Taneja, Zhengyang Liu, and John Regehr; it’s a summary of some of the findings from a paper that we just recently completed the camera ready copy for, that is going to be published at CGO (Code Generation and Optimization) 2020.] Update from Jan 12 2020: Looks like there’s a …
Continue reading “Testing Dataflow Analyses for Precision and Soundness”
Let’s take a second to recall this old joke: A policeman sees a drunk man searching for something under a streetlight and asks what the drunk has lost. He says he lost his keys and they both look under the streetlight together. After a few minutes the policeman asks if he is sure he lost …
Continue reading “Helping Generative Fuzzers Avoid Looking Only Where the Light is Good, Part 1”
Fuzzing is sort of a superpower for locating vulnerabilities and other software defects, but it is often used to find problems baked deeply into already-deployed code. Fuzzing should be done earlier, and moreover developers should spend some effort making their code more amenable to being fuzzed. This post is a non-comprehensive, non-orthogonal list of ways …
Part 1 of this series introduced C-Reduce and showed how it combines a domain-independent core with a large collection of domain-specific passes in order to create a highly effective test-case reducer for C and C++ code. This part tells the rest of the story and concludes. Parallel Test-Case Reduction C-Reduce’s second research contribution is to …
Continue reading “Design and Evolution of C-Reduce (Part 2)”
[This piece is posted in parallel on the IEEE Software blog. Karim Ali copyedited.] Since 2008, my colleagues and I have developed and maintained C-Reduce, a tool for programmatically reducing the size of C and C++ files that trigger compiler bugs. C-Reduce also usually does a credible job reducing test cases in languages other than …
Continue reading “Design and Evolution of C-Reduce (Part 1)”
Alexia Massalin’s 1992 PhD thesis has long been one of my favorites. It promotes the view that operating systems can be much more efficient than then-current operating systems via runtime code generation, lock-free synchronization, and fine-grained scheduling. In this piece we’ll only look at runtime code generation, which can be cleanly separated from the other …
Packrafts are tough, light, individual-sized inflatable boats that people use to put together really amazing wilderness trips by combining rafting, hiking, and sometimes even biking. I’ve had sort of a low-grade obsession with packrafting since 2009 when I ran into some people in Alaska who were on their way to hike up and over the …
Popcount is the function that returns the number of set bits in its argument. Showing that a popcount implementation does what it claims to do has become one of my favorite examples to use when I need to quickly show students how we can reason about programs mathematically. Something like a selection sort is probably …
People tend to be visual: we use pictures to understand problems. Mainstream programming languages, on the other hand, operate in an almost completely different kind of abstract space, leaving a big gap between programs and pictures. This piece is about pictures drawn using a text character set and then embedded in source code. I love …
Since the National Science Foundation funds a large fraction of academic computer science research in the USA, we often end up traveling to Washington to visit the NSF. This post is just to say that if you are traveling light, if you need some exercise, if you have a bit of free time, and if the …
