Comparing Two Learning Curves Approaches to Predict the Product Delivery Rate in a Software Factory Contract

Valdés-Souto, F., Torres-Robledo, D., & Oktaba, H.

In software development, the management of standardized metrics are not as frequent as it should be, which encourages the immaturity of software engineering. Currently, few companies use standards for the software functional size measurement (i.e. COSMIC); however, an increase in the adoption of this practice is emerging, derived from the need to have greater certainty, both in the estimates and in project management. A problem faced by companies that already use standardized metrics is knowing formally what proportion of improvement can be required of suppliers as they gain more experience as the time of the customer-supplier relationship passes. This article presents a comparison between the models defined by the learning curve theory, in order to determine the learning ratio of a supplier to request improvement of the productivity factor (PDR) with which the supplier has worked in previous cycles through a real case study in the Mexican industry, using the learning curve theory.

Available through:
https://link.springer.com/article/10.1134/S0361768821080260

Publishing date
28-12-2021
URL (external source)
https://link.springer.com/article/10.1134/S0361768821080260
Journal
Programming and Computer Software volume 47, pages 694–703 (2021)
DOI
https://doi.org/10.1134/S0361768821080260
COSMIC version
5.0
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Allow direct download

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