Inclusion-based pointer analysis
WebInclusion-based PTAs are typically flow-sensitive but context-insensitive. Unification-based PTAs are typically context-sensitive but flow-insensitive. 11 Unification-based PTA -- an … WebPointer analysis is one of the fundamental problems in static program analysis. Given a set of pointers, the task is to produce a useful over-approximation of the memory locations …
Inclusion-based pointer analysis
Did you know?
WebMay 9, 2024 · ICSE 2024 Technical Track. We present PUS, a fast and highly efficient solver for inclusion-based pointer analysis. At the heart of PUS is a new constraint solving … WebIt is shown that whole-program context-sensitive inclusion-based pointer analysis, a previously intractable problem, can be efficiently solved using binary decision diagrams and that a context-insensitive pointer analysis implemented with bddbddb is about twice as fast as a carefully hand-tuned version. 36 PDF View 1 excerpt, cites background
WebJan 1, 2015 · Inclusion-based points-to analysis (i.e., Andersen-style points-to analysis [ 2 ]) is a classical points-to analysis technique. It advocates an idea of translating a program into a set of inclusion constraints on the points-to sets and then iteratively solving these constraints to yield the results [ 2 – 4 ]. WebOct 1, 2024 · 1. Research the audience in advance. Advertisement. Determine inclusive language choices by discovering the identity words and phrases learners use and …
WebInclusion-based (i.e. Andersen-style) pointer analysis is an important point in the space of pointer analyses, offering a potential sweet-spot in the trade-off between precision and performance. However, current techniques for inclusion-based pointer analysis can have difficulties delivering on this potential. WebNov 1, 2016 · As the analysis budget increases, Supa achieves improved precision, with its single-stage flow-sensitive analysis reaching 97% of that achieved by whole-program flow- sensitive analysis by consuming about 0.19 seconds and 36KB of memory per query, on average (with a budget of at most 10000 value-flow edges per query). References
WebMay 27, 2024 · A crucial performance bottleneck in most interprocedural static analyses is solving pointer analysis constraints. We present Pus, a highly efficient solver for inclusion …
WebMar 22, 2024 · In short, inclusive leadership is about recognizing and accepting the multiple identities of those whom you lead. But the keys to inclusion are not resting on the … novant health mountainviewWeb// In pointer analysis terms, this is a subset-based, flow-insensitive, // field-sensitive, and context-insensitive algorithm pointer algorithm. // // This algorithm is implemented as three stages: // 1. Object identification. // 2. Inclusion constraint identification. // 3. Offline constraint graph optimization // 4. Inclusion constraint solving. novant health missionWebJun 1, 2007 · Inclusion-based ( i.e. Andersen-style) pointer analysis is an important point in the space of pointer analys es, offering a potential sweet-spot in the trade-off between pr ecision and performance. how to smoke a 22 lb turkey in traegerWebAug 31, 2016 · A points-to analysis in Java has to compute two sets of edges: (i) a set of unlabeled edges from variables to abstract heap objects, and (ii) a set of field-labeled edges between abstract objects. This is not the case for C/C++, where: 1. Objects can be allocated both on the stack and on the heap. 2. how to smoke a 5 pound standing rib roastWebA crucial performance bottleneck in most interprocedural static analyses is solving pointer analysis constraints. We present Pus, a highly efficient solver for inclusion-based pointer analysis. At the heart of Pus is a new constraint solving algorithm that significantly … how to smoke a 3lb turkey breastWebThe following provide information and resources that organizers and team members can use to create an inclusive environment: Addressing bias and exclusion. Bias can influence … how to smoke a 3 pound brisketWebstate-of-the-art inclusion-based pointer analysis algorithms, namely, HT, PKH, and BLQ. We find that HT is the fastest— 1.9 faster than PKH and 6.5 faster than BLQ. We … novant health mt airy nc westlake