Where Did My Variable Go? Poking Holes in Incomplete Debug Information
November 17, 2022 ยท Declared Dead ยท ๐ International Conference on Architectural Support for Programming Languages and Operating Systems
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Cristian Assaiante, Daniele Cono D'Elia, Giuseppe Antonio Di Luna, Leonardo Querzoni
arXiv ID
2211.09568
Category
cs.PL: Programming Languages
Cross-listed
cs.SE
Citations
8
Venue
International Conference on Architectural Support for Programming Languages and Operating Systems
Last Checked
3 months ago
Abstract
The availability of debug information for optimized executables can largely ease crucial tasks such as crash analysis. Source-level debuggers use this information to display program state in terms of source code, allowing users to reason on it even when optimizations alter program structure extensively. A few recent endeavors have proposed effective methodologies for identifying incorrect instances of debug information, which can mislead users by presenting them with an inconsistent program state. In this work, we identify and study a related important problem: the completeness of debug information. Unlike correctness issues for which an unoptimized executable can serve as reference, we find there is no analogous oracle to deem when the cause behind an unreported part of program state is an unavoidable effect of optimization or a compiler implementation defect. In this scenario, we argue that empirically derived conjectures on the expected availability of debug information can serve as an effective means to expose classes of these defects. We propose three conjectures involving variable values and study how often synthetic programs compiled with different configurations of the popular gcc and LLVM compilers deviate from them. We then discuss techniques to pinpoint the optimizations behind such violations and minimize bug reports accordingly. Our experiments revealed, among others, 24 bugs already confirmed by the developers of the gcc-gdb and clang-lldb ecosystems.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
๐ Similar Papers
In the same crypt โ Programming Languages
R.I.P.
๐ป
Ghosted
R.I.P.
๐ป
Ghosted
Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions
R.I.P.
๐ป
Ghosted
Glow: Graph Lowering Compiler Techniques for Neural Networks
R.I.P.
๐ป
Ghosted
Learnable Programming: Blocks and Beyond
R.I.P.
๐ป
Ghosted
Scenic: A Language for Scenario Specification and Scene Generation
R.I.P.
๐ป
Ghosted
Vandal: A Scalable Security Analysis Framework for Smart Contracts
Died the same way โ ๐ป Ghosted
R.I.P.
๐ป
Ghosted
Language Models are Few-Shot Learners
R.I.P.
๐ป
Ghosted
PyTorch: An Imperative Style, High-Performance Deep Learning Library
R.I.P.
๐ป
Ghosted
XGBoost: A Scalable Tree Boosting System
R.I.P.
๐ป
Ghosted