True S: Software Acquisition and Development
Cost Models: True IT | True S | True H and PRICE H
Estimate Any Software Project Within 5% Accuracy
True S from Price Systems with parametric cost modeling overcomes many challenges that are faced when developing software. True S predicts costs, resources, and schedules for all types and sizes of software projects. Ease of use and agility enable project teams to release better software for less time and money at increasingly higher efficiency.
Software projects challenge the most knowledgeable cost estimators:
- Inaccurate software sizing creates unrealistic expectations and a loss of credibility.
- Integration of COTS applications is overlooked or grossly miscalculated.
- Unproven and speculative methodologies provide at best suspect estimates.
Key Features
Commercial Off The Shelf Software (COTS): Most cost estimating models take into account only the lines of code in COTS products. Results do not consider development costs for any required modifications to COTS and programming the integration "glue code." Consequently, many decisions to use COTS are more expensive than building in-house. True S uses fact-based historical data to accurately estimate the use, modification, and integration of COTS products.
Software sizing: Typically an inexact science left to "opinion" and "best guess" when all lines of code are known becomes totally flawed with the additional uncertainties of COTS integration. Instead, True S provides a knowledge base and a variety of reliable, easy-to-use sizing tools—including wizards, function point sizing, and Predictive Object Point sizing developed by PRICE for object-oriented software. True S also includes complete sizing descriptors to estimate tasks and costs for code that is new, adapted, reused, or deleted.
Repeatable methodologies for continuing process improvements: Cost estimating leverages a past to predict a future. Without repeatable methodologies that yield credible results, incremental improvements in process and accuracy are impossible. True S methodologies use industry and in-house historical data that enable users to incrementally improve their estimating process with every successive project. The more projects estimated with True S, the greater your historical data relevance and estimating accuracy.
