Big Data in software engineering estimation, can be a valuable tool to improve the accuracy, efficiency, and transparency of the estimation process. However, it is important to be aware of the challenges associated with using big data before adopting this approach.

Software development projects often fail to meet expectations, exceed budgets, and overrun schedules. Often, the cause is bad estimation practices.
Nesma and the International Cost Estimation and Analysis Association (ICEAA) developed the Cost Estimation Body of Knowledge for Software (CEBoK-S).
This presentation addresses the industry’s main issues, CEBoK-S and aims to solve these issues. ISBSG data is used to estimate software projects using functional size and relevant historic data.

The presentation describes capabilities and capability-based planning. Discussed are the challenges in software cost estimation and how capability-based cost estimation models for software differ throughout the life cycle. I conclude with a summary methodology to develop a capability-based cost estimation for software, which is to define capability groups with similar software functions and associated effort ranges.