C is an unsafe language. Researchers have been developing tools to port C to safer languages such as Rust, Checked C, or Go. Existing tools, however, resort to preprocessing the source file first, then porting the resulting code, leaving barely recognizable code that loses macro abstractions. To preserve macro usage, porting tools need analyses that understand macro behavior to port to equivalent constructs. But macro semantics differ from typical functions, precluding simple syntactic transformations to port them. We introduce the first comprehensive framework for analyzing the portability of macro usage. We decompose macro behavior into 26 fine-grained properties and implement a program analysis tool, called Maki, that identifies them in real-world code with 94% accuracy. We apply Maki to 21 programs containing a total of 86,199 macro definitions. We found that real-world macros are much more portable than previously known. More than a third (37%) are easy-to-port, and Maki provides hints for porting more complicated macros. We find, on average, 2x more easy-to-port macros and up to 7x more in the best case compared to prior work. Guided by Maki’s output, we found and hand-ported macros in four real-world programs. We submitted patches to Linux maintainers that transform eleven macros, nine of which have been accepted.
Semantic Analysis of Macro Usage for Portability - Presentation (icse_2024_semantic_analysis_of_macro_usage_for_portability.pdf) | 2.60MiB |
Wed 17 AprDisplayed time zone: Lisbon change
14:00 - 15:30 | Analysis and Debugging 1Research Track / Journal-first Papers at Fernando Pessoa Chair(s): Kihong Heo KAIST | ||
14:00 15mTalk | CrashTranslator: Automatically Reproducing Mobile Application Crashes Directly from Stack Trace Research Track Yuchao Huang , Junjie Wang Institute of Software, Chinese Academy of Sciences, Zhe Liu Institute of Software, Chinese Academy of Sciences, Yawen Wang Institute of Software, Chinese Academy of Sciences, Song Wang York University, Chunyang Chen Technical University of Munich (TUM), Yuanzhe Hu Institute of Software, Chinese Academy of Sciences, Qing Wang Institute of Software, Chinese Academy of Sciences | ||
14:15 15mTalk | Reorder Pointer Flow in Sound Concurrency Bug Prediction Research Track Yuqi Guo Institute of Software, Chinese Academy of Sciences, Beijing, China, Shihao Zhu State Key Laboratory of Computer Science,Institute of Software,Chinese Academy of Sciences,China, Yan Cai Institute of Software at Chinese Academy of Sciences, Liang He TCA, Institute of Software, Chinese Academy of Sciences, China, Jian Zhang Institute of Software at Chinese Academy of Sciences; University of Chinese Academy of Sciences | ||
14:30 15mTalk | Object Graph Programming Research Track Aditya Thimmaiah The University of Texas at Austin, Leonidas Lampropoulos University of Maryland, College Park, Chris Rossbach University of Texas at Austin; Katana Graph, Milos Gligoric The University of Texas at Austin | ||
14:45 15mPaper | Semantic Analysis of Macro Usage for Portability Research Track Link to publication DOI Pre-print Media Attached File Attached | ||
15:00 7mTalk | PREVENT: An Unsupervised Approach to Predict Software Failures in Production Journal-first Papers Giovanni Denaro University of Milano - Bicocca, Rahim Heydarov USI Università della Svizzera Italiana, Ali Mohebbi USI Lugano, Mauro Pezze USI Università della Svizzera Italiana & SIT Schaffhausen Institute of Technology | ||
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15:21 7mTalk | DeLag: Using Multi-Objective Optimization to Enhance the Detection of Latency Degradation Patterns in Service-based Systems Journal-first Papers Luca Traini University of L'Aquila, Vittorio Cortellessa University of L'Aquila, Luca Traini University of L'Aquila Link to publication DOI |