Search Results for "data analysis"

This tool is about a method called "process-oriented decision tables". These are decision tables but different from "normal" decision tables. They fix the flaws of traditional decision tables making it a joy to work with. But they keep all benefits of traditional decision tables. First of all they present the logic in a very dense form. 1. Explore all possible combinations of conditions and actions by question-and-answer. 2. Have a compact one-sheet-view on complex logic. ...

Scertify™ Refactoring Assessment is an open source component dedicated to development & QA teams that provides exclusive benchmark data on Software Quality. It automatically detects the portions of an application that can be refactored, gives valuable information on refactoring strategies, and costs. Though IT departments have matured these last 10 years and have now no doubt on the benefits of a continuous control of code quality, three major concerns were still remaining, without any...

Analysis tools for scale test data generated by The Grinder.

JARep is a reporting tool for application performance data, extracted from a performance measuring tool like JAMon API. The data is then stored in a database. Via a webapp or a Swing application you can view the performance over time. See SVN source.

jMINT is a integration fault injection tool which identifies data exchanges across classes and inject faults along those path. It is primarily based on the idea of program analysis and code mutation. The cross boundary data exchanges are identified by performing data flow analysis using java byte code analysis and transformation framework-soot. Mutant injection is also done via the soot framework. jMINT tool can be used to measure the effectiveness of integration test suites.

Justus is a tool set for Progress 4GL (ABL) Developers. It includes a simplified parser for 4GL, an API to load Profiler data and a Test Coverage Tool.

An eclipse plugin for code coverage visualization of JUnit Tests. Especially useful for test-first development. Supported coverages include block coverage and all-uses coverage (Data Flow Analysis).