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An example to clarify the difference between static and dynamic slicing. Consider a small piece of a program unit, in which there is an iteration block containing an if-else block. There are a few statements in both the if and else blocks that have an effect on a variable.
Static application security testing (Static Code Analysis) tool Online Semgrep: 2024-12-18 (1.101.0) Yes; LGPL v2.1 — — Java JavaScript, TypeScript — Python Go, JSON, PHP, Ruby, language-agnostic mode A static analysis tool that helps expressing code standards and surfacing bugs early. It also has experimental support for eleven other ...
While high-level languages such as Python or Haskell use unbounded integers by default, lower-level programming languages such as C or assembly language typically operate on finitely-sized machine words, which are more suitably modeled using the integers modulo (where n is the bit width of a machine word). There are several abstract domains ...
A growing commercial use of static analysis is in the verification of properties of software used in safety-critical computer systems and locating potentially vulnerable code. [5] For example, the following industries have identified the use of static code analysis as a means of improving the quality of increasingly sophisticated and complex ...
The reduced program is called a “slice” and is a faithful representation of the original program within the domain of the specified behavior subset. Generally, finding a slice is an unsolvable problem, but by specifying the target behavior subset by the values of a set of variables, it is possible to obtain approximate slices using a data ...
In computer programming, profile-guided optimization (PGO, sometimes pronounced as pogo [1]), also known as profile-directed feedback (PDF) [2] or feedback-directed optimization (FDO), [3] is the compiler optimization technique of using prior analyses of software artifacts or behaviors ("profiling") to improve the expected runtime performance of the program.
Pylint is a static code analysis tool for the Python programming language. It is named following a common convention in Python of a "py" prefix, and a nod to the C programming lint program. It follows the style recommended by PEP 8, the Python style guide. [4] It is similar to Pychecker and Pyflakes, but includes the following features:
The basic heuristic of shape analysis is that objects that are being used by the program are represented using unique materialized objects, while objects not in use are summarized. The array of objects in the example above is summarized in separate ways at lines [1], [2], and [3]. At line [1], the array has been only partly constructed.