| N. Rinetzky and M. Sagiv. Interprocedural shape analysis for recursive programs. Lecture Notes in Computer Science, 2027:133--149, 2001. |
....[F ] t 1 ; t 2 ) fails to hold. Otherwise, nothing is replaced. Type reasoning is also used to simplify equalities; e.g. x = y) is false if the types of x and y di er. 5 An Example We illustrate our approach on a program for in place reversal of singly linked lists, also considered in e.g. [4, 24, 33, 28, 29]. The core of the program is given in Figure 6. List x, y, t; x is an acyclic list n1: y = NULL; n2: while (x = NULL) n3: t = y; n4: y = x; n5: x = x n; n6: y n = NULL; n7: y n = t; n8: Fig. 6. The list reversal program Initially, x is the list to be reversed. It is ....
N. Rinetzky and S. Sagiv. Interprocedural shape analysis for recursive programs. In Computational Complexity, pages 133-149, 2001.
No context found.
N. Rinetzky and M. Sagiv. Interprocedural shape analysis for recursive programs. Lecture Notes in Computer Science, 2027:133--149, 2001.
No context found.
N. Rinetzky and M. Sagiv. Interprocedural shape analysis for recursive programs. In Int. Conf. on Comp. Construct., pages 133--149, 2001.
No context found.
Rinetzky, N., Sagiv, M.: Interprocedural shape analysis for recursive programs. In: Comp. Construct. Volume 2027 of Lec. Notes in Comp. Sci. (2001) 133--149
No context found.
Rinetzky, N., Sagiv, M.: Interprocedural shape analysis for recursive programs. In: Comp. Construct. Volume 2027 of Lec. Notes in Comp. Sci. (2001) 133--149
....by relying on spatial instrumentation predicates, that give sharing, reachability and cyclicity information for heap objects [24] For other programs, allocation site information for heap objects suffices for the verification procedure. In both abstractions interprocedural information is computed [23]. Finally, our implementation allows simultaneous verification of several free or assign null properties, by maintaining several automaton states per program object. The back end, implemented using TVLA libraries, traverses the analysis results, i.e. the logical structures at every program ....
N. Rinetzky and M. Sagiv. Interprocedural shape analysis for recursive programs. Lecture Notes in Computer Science, 2027:133--149, 2001.
No context found.
N. Rinetzky and M. Sagiv. Interprocedural shape analysis for recursive programs. LNCS, 2027:133--149, 2001.
No context found.
N. Rinetzky and M. Sagiv. Interprocedural shape analysis for recursive programs. LNCS, 2027:133--149, 2001.
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC