Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Funkcionālo punktu analīze× | Agile Velocity Tracking× | |
|---|---|---|
| Nozare | Programmatūras inženierija | Programmatūras inženierija |
| Saime | Process / pipeline | Process / pipeline |
| Izcelsmes gads≠ | 1979 | 2002 |
| Autors≠ | Allan Albrecht | Ken Schwaber and Mike Cohn |
| Tips≠ | quantitative measurement | measurement metric |
| Pirmavots≠ | Albrecht, A. J. (1979). Measuring application development productivity. In Proceedings of the IBM Applications Development Symposium (pp. 83–92). link ↗ | Schwaber, K., & Beedle, M. (2002). Agile Software Development with Scrum. Prentice Hall. link ↗ |
| Citi nosaukumi | FPA, function points, IFPUG sizing | sprint velocity, team capacity planning, burndown analysis |
| Saistītās | 4 | 4 |
| Kopsavilkums≠ | Function point analysis (FPA) quantifies software size by counting business functions and user interactions independent of technology or programming language. Introduced by Albrecht (1979), FPA measures delivered functionality, enabling effort estimation, productivity benchmarking, and software value assessment. Organizations use FPA for project contracts, vendor comparison, and portfolio management. | Velocity tracking measures the amount of work (typically story points or tasks) a team completes in a sprint, enabling capacity planning, release forecasting, and identification of process improvements. Introduced in Scrum methodology by Schwaber (2002), velocity provides empirical data for realistic sprint planning and project timeline prediction. Teams use velocity trends to identify bottlenecks and validate process improvements. |
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