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Sourcetrail builds a dependency graph after indexing the source code files and provides a graphical overview of the source code. It is built in an extendable way, so it could be extended to support more programming languages.
Sourcetrail (retired) 2021-04 (2021.4.19) Yes; GPL — C, C++ Java — — Python Perl An open-source source code explorer that provides interactive dependency graphs and supports multiple programming languages. Sparse: 2021-09-06 (0.6.4) Yes; MIT — C — — — — GCC extensions An open-source tool designed to find faults in the Linux ...
Thus, a dynamic call graph can be exact, but only describes one run of the program. A static call graph is a call graph intended to represent every possible run of the program. The exact static call graph is an undecidable problem, so static call graph algorithms are generally overapproximations. That is, every call relationship that occurs is ...
In computer science, a code property graph (CPG) is a computer program representation that captures syntactic structure, control flow, and data dependencies in a property graph. The concept was originally introduced to identify security vulnerabilities in C and C++ system code, [ 1 ] but has since been employed to analyze web applications , [ 2 ...
Instruments shows a time line displaying any event occurring in the application, such as CPU activity variation, memory allocation, and network and file activity, together with graphs and statistics. Group of events are monitored by selecting specific instruments from: File Activity, Memory Allocations, Time Profiler, GPU activity etc.
GPROF output consists of two parts: the flat profile and the call graph. The flat profile gives the total execution time spent in each function and its percentage of the total running time. Function call counts are also reported. Output is sorted by percentage, with hot spots at the top of the list.
In computer science, a control-flow graph (CFG) is a representation, using graph notation, of all paths that might be traversed through a program during its execution. The control-flow graph was conceived by Frances E. Allen , [ 1 ] who noted that Reese T. Prosser used boolean connectivity matrices for flow analysis before.
Graph-tool can be used to work with very large graphs [clarification needed] in a variety of contexts, including simulation of cellular tissue, [2] data mining, [3] [4] analysis of social networks, [5] [6] analysis of P2P systems, [7] large-scale modeling of agent-based systems, [8] study of academic Genealogy trees, [9] theoretical assessment ...