Beyond deductive inference in program analysis
Abstract/Contents
- Abstract
- Program analysis tools help developers ensure the safety and robustness of software systems by automatically reasoning about the program. An important barrier to adoption is that these "automatic" tools oftentimes require costly inputs from the human using the analysis. For example, the user must annotate missing code (e.g., dynamically loaded or binary code) and additionally provide a specification encoding desired program behaviors. The focus of this research is to develop techniques that minimize this manual effort using techniques from machine learning. First, in the verification setting (where the goal is to prove a given correctness property), I describe an algorithm that interacts with the user to identify all relevant annotations for missing code, and show that empirically, the required manual effort is substantially reduced. Second, in the bug-finding setting, I describe an algorithm that improves the ability of random testing by automatically inferring the program input language, and show that it generates much higher quality valid test cases compared to a baseline.
Description
| Type of resource | text |
|---|---|
| Form | electronic; electronic resource; remote |
| Extent | 1 online resource. |
| Publication date | 2017 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Associated with | Bastani, Osbert |
|---|---|
| Associated with | Stanford University, Computer Science Department. |
| Primary advisor | Aiken, Alexander |
| Thesis advisor | Aiken, Alexander |
| Thesis advisor | Liang, Percy |
| Thesis advisor | Mitchell, John C |
| Advisor | Liang, Percy |
| Advisor | Mitchell, John C |
Subjects
| Genre | Theses |
|---|
Bibliographic information
| Statement of responsibility | Osbert Bastani. |
|---|---|
| Note | Submitted to the Department of Computer Science. |
| Thesis | Thesis (Ph.D.)--Stanford University, 2017. |
| Location | electronic resource |
Access conditions
- Copyright
- © 2017 by Osbert Bastani
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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