Abstract
Configuration errors are some of the main reasons for software failures. Some configuration options may even negatively impact the software's security, so that if a user sets the options inappropriately, there may be a huge security risk for the software. Recent studies have proposed mapping option read points to configuration options as the first step in alleviating the occurrence of configuration errors. Sadly, most available techniques use humans, and the rest require additional input, like an operation manual. Unfortunately, not all software is standardized and friendly. We propose a technique based on program and static analysis that can automatically map all the configuration options of a program just by reading the source code. Our evaluation shows that this technique achieves 88.6%, 97.7%, 94.6%, 94.8%, and 92.6% success rates with the Hadoop modules Common, Hadoop distributed file system, MapReduce, and YARN, and also PX4, when extracting configuration options. We found 53 configuration options in PX4 that were not documented and submitted these to the developers. Compared with published work, our technique is more effective in mapping options, and it may lay the foundation for subsequent research on software configuration security.
| Original language | English |
|---|---|
| Pages (from-to) | 10044-10055 |
| Number of pages | 12 |
| Journal | Journal of King Saud University - Computer and Information Sciences |
| Volume | 34 |
| Issue number | 10 |
| DOIs | |
| Publication status | Published - Nov 2022 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
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SDG 11 Sustainable Cities and Communities
Keywords
- Configuration error
- Configuration option
- Option read point
- Program analysis
- Software security
- Static analysis
ASJC Scopus subject areas
- General Computer Science
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