By Thomas Fahringer
The goal of software research is to instantly make sure the p- perties of a software. instruments of software program improvement, equivalent to compilers, p- formance estimators, debuggers, reverse-engineering instruments, application veri?- tion/testing/proving platforms, software comprehension structures, and application specializationtoolsarelargelydependentonprogramanalysis. Advancedp- gram research can: support to ?nd software blunders; realize and song performan- severe code areas; be certain assumed constraints on facts aren't violated; tailor a accepted application to fit a speci?c program; reverse-engineer so- ware modules, and so on. A renowned application research approach is symbolic a- lysis, which has attracted great cognizance for a few years because it isn't depending on executing a software to ascertain the semantics of a software, and it may yield very stylish formulations of many analyses. furthermore, the complexity of symbolic research might be mostly autonomous of the enter info dimension of a software and of the dimensions of the computer on which this system is being accomplished. during this e-book we current novel symbolic keep watch over and knowledge ?ow repres- tation ideas in addition to symbolic suggestions and algorithms to research and optimize courses. application contexts which de?ne a brand new symbolic - scription of software semantics for keep watch over and knowledge ?ow research are on the middle of our strategy. we now have solved a few difficulties encountered in application research by utilizing application contexts. Our answer equipment are e?cient, flexible, uni?ed, and extra normal (they take care of ordinary and abnormal codes) than so much present methods.
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Extra info for Advanced Symbolic Analysis for Compilers: New Techniques and Algorithms for Symbolic Program Analysis and Optimization
Example text
Before evaluating the branches, the condition
Ni ... nk Fig. 2. Exit and entry contexts for a generic node n with k (1 ≤ i ≤ k) successor nodes. 3 Algorithm The algorithm computes program contexts for all nodes in the CFG. Every node n ∈ N has a unique entry context cb (n) = [sb , tb , pb ] that describes the variable bindings and state and path conditions immediately before node n. Note that every node n has only a single entry context although node n may have multiple predecessors1 . 2. Furthermore, every CFG node n has a unique exit context ca (n, n′ ) for each of its successor nodes n′ ∈ succs(n).
8 the denotational semantic rules (D1)-(D6) and (E5)-(E7) are given. We distinguish between two different pointer assignments, (D1) and (D4). Rule (D1) deals with a pointer assignment for a field of a dynamic record. An assignment for a pointer variable (D4) generates a new entry 40 3. Symbolic Analysis of Programs put(, ⊥, r) in the chain. This redundant entry facilitates subsequent analyses. Rule (D2) assigns a new symbolic value to a non-pointer field of a dynamic record. Rule (D3) allocates a new dynamic record and assigns it to a pointer field.