a division of L&S Computer Technology, Inc.

SPE·ED™ enables you to quickly and easily evaluate software performance.

SPE·ED™ Performance Modeling Tool

The Software Performance Engineering (SPE) Tool

at a Remarkably Low Price

SPE·ED is a tool designed specifically to support the SPE methods and models defined in Connie U. Smith's books, Performance Solutions and Performance Engineering of Software Systems. The SPE techniques use performance models to provide data for the quantitative assessment of the performance characteristics of software systems as they are developed. Using a small amount of data about envisioned software processing, SPE·ED creates and solves preformance models, and presents visual results. It provides performance data for requirements and design choices and facilitates comparison of software and hardware alternatives for solving performance problems.

Users

SPE·ED makes it easy to quickly construct software performance models. These models are most effective when used to assess software architecture and design decisions, and may also be used to evaluate options for correcting performance problems. While other tools specialize in "industrial strength" models that allow one to examine intricacies of performance, SPE·ED lets users quickly assess simpler models that focus on software performance options.

SPE·ED was created specifically for:

  • Performance engineering specialists who work with developers to provide performance-decision support data. These users want results quickly and need presentation graphics to communicate the results.
  • Software developers who feel comfortable with operational specifications of software and quantitative methods. These users want a tool that produces performance data on development alternatives without requiring extensive knowledge of modeling theory.
  • Professionsals familiar with SPE and the use of models as defined in Smith's books will find SPE·ED simple to use. You don't need special training or academic background in queueing theory or performance modeling.