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EViews is a statistical package for Windows, used mainly for time-series oriented econometric analysis. It is developed by Quantitative Micro Software (QMS), now a part of IHS. Version 1.0 was released in March 1994, and replaced MicroTSP. [1] The TSP software and programming language had been originally developed by Robert Hall in 1965. The ...
LIMDEP is an econometric and statistical software package with a variety of estimation tools. In addition to the core econometric tools for analysis of cross sections and time series, LIMDEP supports methods for panel data analysis, frontier and efficiency estimation and discrete choice modeling.
AFCAA REVIC is a set of programs for use in estimating the cost of software development projects. [1] The Revised Enhanced Version of Intermediate COCOMO (REVIC) model is a copyrighted program available for public distribution under agreement with the REVIC developer, Ray Kile, and the U.S. Air Force Cost Analysis Agency (AFCAA).
Windows: Originated in NASA World Wind: Estereografica Web [15] Stereographic projection and fault kinematics Reyuntec Public domain Cross-platform: ASP.net Free web application (english and spanish) Generic Mapping Tools [16] Map generation and analysis Lamont–Doherty and University of Hawaii: GPL: Cross-platform: C: Implemented in OpendTect ...
Software size is a key input to any estimating model and across most software parametric models. Supported sizing metrics include source lines of code (SLOC), function points , function-based sizing (FBS) and a range of other measures.
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Software crack illustration. Software cracking (known as "breaking" mostly in the 1980s [1]) is an act of removing copy protection from a software. [2] Copy protection can be removed by applying a specific crack. A crack can mean any tool that enables breaking software protection, a stolen product key, or guessed password. Cracking software ...
2.0 Overview of Software Reliability Growth (Estimation) Models Software reliability growth (or estimation) models use failure data from testing to forecast the failure rate or MTBF into the future. The models depend on the assumptions about the fault rate during testing which can either be increasing, peaking, decreasing or some combination of ...