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The mission of the Software Performance project is to strengthen the scientific foundations of software performance measurement ("metrology for IT"). 


Its goals are:

  • Application: Replace unreliable common practices with rigorously-studied methods grounded in design of experiments
  • Research: Solve measurement challenges created by the evolution and increased complexity of commodity hardware
  • Transfer: Feed improved methods back into the community of practice

Major Accomplishments

  • qdfca (Quick-Deploy Formal Concept Analysis) is a command-line filter that implements Formal Concept Analysis (FCA). It is small, scriptable, and easy to install, with no external requirements other than the standard Ruby library.
  • Test Suite for Validating Application Profiling Tools, Version 1.2
  • Test Driver for Android, Version 1.0 (RTD automates the repeated launching of Android test apps for experimental data collection.) 
  • R package bootBCa, Version 1.0
    This package provides a function to find confidence intervals using Efron's nonparametric bias-corrected and accelerated (BCa) bootstrap method. It is an enhanced derivative of the function bcanon, forked from bootstrap_2012.04-1. Adaptive determination of the number of bootstrap replications is supported and the amount of memory required is less by a factor of nboot.
  • The Gem for Experimental Computer Science (GECS) is for managing the data resulting from experiments on software and IT systems. It realizes a data model that disambiguates the vocabulary of experimentation and measurement for a computer science audience. It also provides convenience functions to determine confidence intervals, analyze main effects and interactions, and export data in an R-compatible format for further analysis and visualization.
Created January 28, 2013, Updated March 23, 2018