Software Data Collection
This presentation expands the definition of software data and its scope. It also discusses the needs of next generation IT projects.
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This presentation expands the definition of software data and its scope. It also discusses the needs of next generation IT projects.
A large proportion of software projects are delivered over-budget and behind time. Accurate project estimations are needed to overcome this issue.
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.
A discussion of IoT frameworks, adopting a customer-driven approach and cost estimation.
An in-depth analysis of cloud-based computing. It includes: cloud total ownership costing, consideration of technologies, costs and benefits.
This presentation examines the impact of private and public industry data on cost estimation of software projects.
This talk explains how the ISBSG database can be used to determine velocity in terms of size, based on the story points assigned to story cards. No additional metrics are needed except some automated COSMIC counting. Â The approach uses the powerful concept of transfer functions, and also the Buglione-Trudel matrix for determining story cards priorities.
This paper chronicles a journey that PRICE Systems has traveled with an Army customer to develop and institutionalize a process for the collection and application of historical cost data for software projects. Price is now armed with the right tools and processes to deliver defendable, credible estimates to their program office.
The focus of this presentation is on the input effort delivered by the team to do work, rather than the work output and factors affecting productivity. Â We will first revisit and clarify some fundamental concepts of Team Size and Team Power. We will then investigate (empirically) the nature of the relationship between Average Team Power and Average Team Size.
This presentation discusses the issues of estimation bias and strategic mis-estimation as well as how to mitigate these issues. Both the results of Nobel prize winning work and subsequent discoveries by researchers and the author will be discussed.
