Data Modelling
Historical IT project data can be used for data modelling. This is to enable forecasting of: project costs, schedules, defects and effort.
Control all phases of the projects
Historical IT project data can be used for data modelling. This is to enable forecasting of: project costs, schedules, defects and effort.
Software rates versus function point price? Discover the importance of FP Price and other normalized indicators against typical man hours used in software projects.
Show the main conclusions from the Cost per Function Point vs Rates studies carried out by LEDAmc. Quality performance vs productivity indicators in two real scenarios, are discussed.
This presentation expands the definition of software data and its scope. It also discusses the needs of next generation IT projects.
This presentation explores cloud computing and cloud solutions. It provides: an overview of the implications and costs of migration to the cloud and it uses a case study to demonstrate migration of the ‘same’ capability in each of the three cloud solution scenarios.
An in-depth analysis of cloud-based computing. It includes: cloud total ownership costing, consideration of technologies, costs and benefits.
The complex software applications controlling critical safety domains, such as transportation, raise increasing concerns about the ability of software development, verification and validation processes to avoid the presence of software faults in such applications. Â An account of currently applied techniques and of open research challenges will be given.
It is important to properly define boundaries in modern, multi-layered applications. CPM statements can be analyzed from an Asset Management perspective.
The impact of different factors upon Function Point (FP) is explored, such as implementation of estimation/productivity models & de-localization of providers
However, especially in ICT industry majority of the projects overrun both the budget and schedule, and deliver less functionality than expected. In this presentation we take another look at the project management triangle, to learn how to get more outcomes with spending less money and time.
