Package soot.options

Class SparkOptions

  • @Generated(value="Saxonica v3.0",
           comments="from soot_options.xml")
public class SparkOptions
extends Object
    Option parser for Spark.

    • Constructor Detail

    • Method Detail

      • enabled

        public boolean enabled()
        Enabled

      • verbose

        public boolean verbose()
        Verbose -- Print detailed information about the execution of Spark. When this option is set to true, Spark prints detailed information about its execution.

      • ignore_types

        public boolean ignore_types()
        Ignore Types Entirely -- Make Spark completely ignore declared types of variables. When this option is set to true, all parts of Spark completely ignore declared types of variables and casts.

      • force_gc

        public boolean force_gc()
        Force Garbage Collections -- Force garbage collection for measuring memory usage. When this option is set to true, calls to System.gc() will be made at various points to allow memory usage to be measured.

      • pre_jimplify

        public boolean pre_jimplify()
        Pre Jimplify -- Jimplify all methods before starting Spark. When this option is set to true, Spark converts all available methods to Jimple before starting the points-to analysis. This allows the Jimplification time to be separated from the points-to time. However, it increases the total time and memory requirement, because all methods are Jimplified, rather than only those deemed reachable by the points-to analysis.

      • apponly

        public boolean apponly()
        AppOnly -- Consider only application classes. Setting this option to true causes Soot to only consider application classes when building the callgraph. The resulting callgraph will be inherently unsound. Still, this option can make sense if performance optimization and memory reduction are your primary goal.

      • vta

        public boolean vta()
        VTA -- Emulate Variable Type Analysis. Setting VTA to true has the effect of setting field-based, types-for-sites, and simplify-sccs to true, and on-fly-cg to false, to simulate Variable Type Analysis, described in our OOPSLA 2000 paper. Note that the algorithm differs from the original VTA in that it handles array elements more precisely.

      • rta

        public boolean rta()
        RTA -- Emulate Rapid Type Analysis. Setting RTA to true sets types-for-sites to true, and causes Spark to use a single points-to set for all variables, giving Rapid Type Analysis.

      • field_based

        public boolean field_based()
        Field Based -- Use a field-based rather than field-sensitive representation. When this option is set to true, fields are represented by variable (Green) nodes, and the object that the field belongs to is ignored (all objects are lumped together), giving a field-based analysis. Otherwise, fields are represented by field reference (Red) nodes, and the objects that they belong to are distinguished, giving a field-sensitive analysis.

      • types_for_sites

        public boolean types_for_sites()
        Types For Sites -- Represent objects by their actual type rather than allocation site. When this option is set to true, types rather than allocation sites are used as the elements of the points-to sets.

      • merge_stringbuffer

        public boolean merge_stringbuffer()
        Merge String Buffer -- Represent all StringBuffers as one object. When this option is set to true, all allocation sites creating java.lang.StringBuffer objects are grouped together as a single allocation site.

      • string_constants

        public boolean string_constants()
        Propagate All String Constants -- Propagate all string constants, not just class names. When this option is set to false, Spark only distinguishes string constants that may be the name of a class loaded dynamically using reflection, and all other string constants are lumped together into a single string constant node. Setting this option to true causes all string constants to be propagated individually.

      • simulate_natives

        public boolean simulate_natives()
        Simulate Natives -- Simulate effects of native methods in standard class library. When this option is set to true, the effects of native methods in the standard Java class library are simulated.

      • empties_as_allocs

        public boolean empties_as_allocs()
        Treat EMPTY as Alloc -- Treat singletons for empty sets etc. as allocation sites. When this option is set to true, Spark treats references to EMPTYSET, EMPTYMAP, and EMPTYLIST as allocation sites for HashSet, HashMap and LinkedList objects respectively, and references to Hashtable.emptyIterator as allocation sites for Hashtable.EmptyIterator. This enables subsequent analyses to differentiate different uses of Java's immutable empty collections.

      • simple_edges_bidirectional

        public boolean simple_edges_bidirectional()
        Simple Edges Bidirectional -- Equality-based analysis between variable nodes. When this option is set to true, all edges connecting variable (Green) nodes are made bidirectional, as in Steensgaard's analysis.

      • on_fly_cg

        public boolean on_fly_cg()
        On Fly Call Graph -- Build call graph as receiver types become known. When this option is set to true, the call graph is computed on-the-fly as points-to information is computed. Otherwise, an initial CHA approximation to the call graph is used.

      • simplify_offline

        public boolean simplify_offline()
        Simplify Offline -- Collapse single-entry subgraphs of the PAG. When this option is set to true, variable (Green) nodes which form single-entry subgraphs (so they must have the same points-to set) are merged before propagation begins.

      • simplify_sccs

        public boolean simplify_sccs()
        Simplify SCCs -- Collapse strongly-connected components of the PAG. When this option is set to true, variable (Green) nodes which form strongly-connected components (so they must have the same points-to set) are merged before propagation begins.

      • ignore_types_for_sccs

        public boolean ignore_types_for_sccs()
        Ignore Types For SCCs -- Ignore declared types when determining node equivalence for SCCs. When this option is set to true, when collapsing strongly-connected components, nodes forming SCCs are collapsed regardless of their declared type. The collapsed SCC is given the most general type of all the nodes in the component. When this option is set to false, only edges connecting nodes of the same type are considered when detecting SCCs. This option has no effect unless simplify-sccs is true.

      • dump_html

        public boolean dump_html()
        Dump HTML -- Dump pointer assignment graph to HTML for debugging. When this option is set to true, a browseable HTML representation of the pointer assignment graph is output to a file called pag.jar after the analysis completes. Note that this representation is typically very large.

      • dump_pag

        public boolean dump_pag()
        Dump PAG -- Dump pointer assignment graph for other solvers. When this option is set to true, a representation of the pointer assignment graph suitable for processing with other solvers (such as the BDD-based solver) is output before the analysis begins.

      • dump_solution

        public boolean dump_solution()
        Dump Solution -- Dump final solution for comparison with other solvers. When this option is set to true, a representation of the resulting points-to sets is dumped. The format is similar to that of the Dump PAG option, and is therefore suitable for comparison with the results of other solvers.

      • topo_sort

        public boolean topo_sort()
        Topological Sort -- Sort variable nodes in dump. When this option is set to true, the representation dumped by the Dump PAG option is dumped with the variable (green) nodes in (pseudo-)topological order. This option has no effect unless Dump PAG is true.

      • dump_types

        public boolean dump_types()
        Dump Types -- Include declared types in dump. When this option is set to true, the representation dumped by the Dump PAG option includes type information for all nodes. This option has no effect unless Dump PAG is true.

      • class_method_var

        public boolean class_method_var()
        Class Method Var -- In dump, label variables by class and method. When this option is set to true, the representation dumped by the Dump PAG option represents nodes by numbering each class, method, and variable within the method separately, rather than assigning a single integer to each node. This option has no effect unless Dump PAG is true. Setting Class Method Var to true has the effect of setting Topological Sort to false.

      • dump_answer

        public boolean dump_answer()
        Dump Answer -- Dump computed reaching types for comparison with other solvers. When this option is set to true, the computed reaching types for each variable are dumped to a file, so that they can be compared with the results of other analyses (such as the old VTA).

      • add_tags

        public boolean add_tags()
        Add Tags -- Output points-to results in tags for viewing with the Jimple. When this option is set to true, the results of the analysis are encoded within tags and printed with the resulting Jimple code.

      • set_mass

        public boolean set_mass()
        Calculate Set Mass -- Calculate statistics about points-to set sizes. When this option is set to true, Spark computes and prints various cryptic statistics about the size of the points-to sets computed.

      • cs_demand

        public boolean cs_demand()
        Demand-driven refinement-based context-sensitive points-to analysis -- After running Spark, refine points-to sets on demand with context information. When this option is set to true, Manu Sridharan's demand-driven, refinement-based points-to analysis (PLDI 06) is applied after Spark was run.

      • lazy_pts

        public boolean lazy_pts()
        Create lazy points-to sets -- Create lazy points-to sets that create context information only when needed.. When this option is disabled, context information is computed for every query to the reachingObjects method. When it is enabled, a call to reachingObjects returns a lazy wrapper object that contains a context-insensitive points-to set. This set is then automatically refined with context information when necessary, i.e. when we try to determine the intersection with another points-to set and this intersection seems to be non-empty.

      • geom_pta

        public boolean geom_pta()
        Geometric, context-sensitive points-to analysis -- This switch enables/disables the geometric analysis. This switch enables/disables the geometric analysis.

      • geom_trans

        public boolean geom_trans()
        Transform to context-insensitive result -- Transform to context-insensitive result. If you stick to working with SPARK, you can use this option to transform the context sensitive result to insensitive result. After the transformation, the context sensitive points-to quries cannot be answered.

      • geom_blocking

        public boolean geom_blocking()
        Blocking strategy for recursive calls -- Enable blocking strategy for recursive calls. Blocking strategy is a 1CFA model for recursive calls. This model significantly improves the precision.

      • geom_app_only

        public boolean geom_app_only()
        Pointers processed by geomPTA -- Processing pointers that impact pointers in application code only. When this option is true, geomPTA only processes the pointers in library functions ( java.*, sun.*, and etc.) that potentially impact the points-to information of pointers in application code, the pointers in application code, and the base pointers at virtual callsites.

      • traversal

        public int traversal()
        Maximal traversal -- Make the analysis traverse at most this number of nodes per query. Make the analysis traverse at most this number of nodes per query. This quota is evenly shared between multiple passes (see next option).

      • passes

        public int passes()
        Maximal number of passes -- Perform at most this number of refinement iterations. Perform at most this number of refinement iterations. Each iteration traverses at most ( traverse / passes ) nodes.

      • geom_eval

        public int geom_eval()
        Precision evaluation methodologies -- Precision evaluation methodologies. We internally provide some precision evaluation methodologies and classify the evaluation strength into three levels. If level is 0, we do nothing. If level is 1, we report the statistical information about the points-to result. If level is 2, we perform the virtual callsite resolution, static cast safety and all-pairs alias evaluations.

      • geom_frac_base

        public int geom_frac_base()
        Fractional parameter -- Fractional parameter for precision/performance trade-off. This option specifies the fractional parameter, which manually balances the precision and the performance. Smaller value means better performance and worse precision.

      • geom_runs

        public int geom_runs()
        Iterations -- Iterations of analysis. We can run multiple times of the geometric analysis to continuously improve the analysis precision.

      • geom_dump_verbose

        public String geom_dump_verbose()
        Verbose dump file -- Filename for detailed execution log. If you want to save the geomPTA analysis information for future analysis, please provide a file name.

      • geom_verify_name

        public String geom_verify_name()
        Verification file -- Filename for verification file. If you want to compare the precision of the points-to results with other solvers (e.g. Paddle), you can use the 'verify-file' to specify the list of methods (soot method signature format) that are reachable by that solver. During the internal evaluations (see the option geom-eval), we only consider the methods that are common to both solvers.

      • propagator

        public int propagator()
        Propagator -- Select propagation algorithm. This option tells Spark which propagation algorithm to use.

      • set_impl

        public int set_impl()
        Set Implementation -- Select points-to set implementation. Select an implementation of points-to sets for Spark to use.

      • double_set_old

        public int double_set_old()
        Double Set Old -- Select implementation of points-to set for old part of double set. Select an implementation for sets of old objects in the double points-to set implementation. This option has no effect unless Set Implementation is set to double.

      • double_set_new

        public int double_set_new()
        Double Set New -- Select implementation of points-to set for new part of double set. Select an implementation for sets of new objects in the double points-to set implementation. This option has no effect unless Set Implementation is set to double.

      • geom_encoding

        public int geom_encoding()
        Encoding methodology used -- Encoding methodology. This switch specifies the encoding methodology used in the analysis. All possible options are: Geom, HeapIns, PtIns. The efficiency order is (from slow to fast) Geom - HeapIns - PtIns, but the precision order is the reverse.

      • geom_worklist

        public int geom_worklist()
        Worklist type -- Worklist type. Specifies the worklist used for selecting the next propagation pointer. All possible options are: PQ, FIFO. They stand for the priority queue (sorted by the last fire time and topology order) and FIFO queue.