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AQTime Pro

Memory and Performance Profiling Tool for Mission Critical Code

AQTime Pro is the fastest way to detect memory leaks, performance bottlenecks, code coverage gaps and more across C, C++, Delphi, .NET, Java and scripts. Digestible, actionable reports synthesise complex memory and performance information to simplify bug diagnosis workflows so developers can drill down to the root of the problem early in the software development lifecycle and get back to building high quality applications.

Features

  • Performance Profiler – includes performance profiling reports that help users to easily identify functions and call paths that are causing the greatest impact on the application performance.
  • Code Coverage Profiler – includes Coverage and Light Coverage profilers to help users trace untested code or find unnecessary routines and code lines that are never called.
  • Memory Leaks – shows the application memory and resource allocations in real-time to help users detect excessive memory as well as find memory leaks through resource usage, so applications can run at peak performance.
  • C/C++ Code Profiling – improves quality of C and C++ applications by finding performance bottlenecks, memory/resource leaks and more.
  • .NET Profiling – optimises .NET application performance and memory usage, measures code coverage and traces exceptions.
  • Delphi Profiling – provides top-to-bottom Delphi application analysis, including peformance profiling, memory and resource profiling, code coverage, unused unit detection, code metrics, exception tracing and integration with RAD Studio.
  • Visual Studio & RAD Studio Integration – can be integrated into Microsoft Visual Studio and Embarcadero RAD Studio for improved developer productivity.
  • Intuitive Reporting – helps developers drill down deep and find the root cause of their code bugs fast.

Want to buy AQTime Pro for an end user?

Speak to Sigma Software Distribution Business Development Specialist
Rod McVeigh on rodm@sigmasd.com or telephone: +44 (0) 1364 655 200



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