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| Content Provider | ACM Digital Library |
|---|---|
| Author | Kapur, Deepak Weimer, Westley Nguyen, ThanhVu Forrest, Stephanie |
| Abstract | Dynamic invariant analysis identifies likely properties over variables from observed program traces. These properties can aid programmers in refactoring, documenting, and debugging tasks by making dynamic patterns visible statically. Two useful forms of invariants involve relations among polynomials over program variables and relations among array variables. Current dynamic analysis methods support such invariants in only very limited forms. We combine mathematical techniques that have not previously been applied to this problem, namely equation solving, polyhedra construction, and SMT solving, to bring new capabilities to dynamic invariant detection. Using these methods, we show how to find equalities and inequalities among nonlinear polynomials over program variables, and linear relations among array variables of multiple dimensions. Preliminary experiments on 24 mathematical algorithms and an implementation of AES encryption provide evidence that the approach is effective at finding these invariants. . |
| Starting Page | 683 |
| Ending Page | 693 |
| Page Count | 11 |
| File Format | |
| ISBN | 9781467310673 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2012-06-02 |
| Access Restriction | Subscribed |
| Content Type | Text |
| Resource Type | Article |
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