Data Modelling
Historical IT project data can be used for data modelling. This is to enable forecasting of: project costs, schedules, defects and effort.
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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.
A discussion of: the key points when undertaking a modernization project and the use of Open Source and the costing of Cloud-based solutions.
Realistic and accurate estimations play an important role in the success of a project. Historical software project data supports accuracy.
An examination on the effect of: project size on productivity and the effort spent on phases of the project lifecycle. Agile projects are considered.
The use of accurate software measurement and benchmarking is shown to be a significant way to save project costs.
This presentation discusses the benefits of using Cosmic function points for the benchmarking and measurement of software projects.
This addresses why agile development teams should ignore estimates and focus on development tasks. New strategies should also be adopted.
A summarization of Agile studies is presented: 016 benchmarking results, Agile adoption, Agile and CMMI, Agile scaling and building an Agile culture.
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.
