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Arm MAP, a performance profiler supporting Linux platforms. AppDynamics, an application performance management solution [buzzword] for C/C++ applications via SDK. AQtime Pro, a performance profiler and memory allocation debugger that can be integrated into Microsoft Visual Studio, and Embarcadero RAD Studio, or can run as a stand-alone application.
A profiler can be applied to an individual method or at the scale of a module or program, to identify performance bottlenecks by making long-running code obvious. [1] A profiler can be used to understand code from a timing point of view, with the objective of optimizing it to handle various runtime conditions [2] or various loads. [3]
Dynamic program analysis is the act of analyzing software that involves executing a program – as opposed to static program analysis, which does not execute it. Analysis can focus on different aspects of the software including but not limited to: behavior , test coverage , performance and security .
The Code Conventions for the Java Programming Language, recommended by Sun), or custom defined by the development team. Extreme Programming backers advocate code that is self-documenting to the furthest degree possible. This reduces the need for code comments, which can get out of sync with the code itself. [6]
As performance is part of the specification of a program – a program that is unusably slow is not fit for purpose: a video game with 60 Hz (frames-per-second) is acceptable, but 6 frames-per-second is unacceptably choppy – performance is a consideration from the start, to ensure that the system is able to deliver sufficient performance, and ...
The code that a programmer writes should be simple. Complicated logic for achieving a simple thing should be kept to a minimum since the code might be modified by another programmer in the future. The logic one programmer implemented may not make perfect sense to another. So, always keep the code as simple as possible. [21]
Extreme programming (XP) is a software development methodology intended to improve software quality and responsiveness to changing customer requirements. As a type of agile software development, [1] [2] [3] it advocates frequent releases in short development cycles, intended to improve productivity and introduce checkpoints at which new customer requirements can be adopted.
Despite claiming high performance, no tool can claim to do that for arbitrary Python code; i.e. it's known not possible to compile to a faster language or machine code. Unless semantics of Python are changed, but in many cases speedup is possible with few or no changes in the Python code. The faster Julia source code can then be used from ...