Product Delivery Improvement in a Software Factory Contract Applying Learning Curves
octubre 30, 2020 @ 2:20 pm - enero 10, 2021 @ 2:40 pm
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 the management of their projects. 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 paper presents a proposal to determine the learning ratio of a supplier in order to request improvement of the productivity factor (PDR) with which the supplier has been worked in previous cycles through a real case study in the Mexican industry, using the learning curve theory.
Presidente de COSMIC. Investigador-profesor de la Facultad de Ciencias de la UNAM, tiene un Doctorado en Ingeniería de Software especialidad en Medición y Estimación de Software, Ingeniero en Computación por la Facultad de Ingeniería de la UNAM. Más de 20 años de experiencia en desarrollo de software crítico, Fundador de SPINGERE, la primera empresa mexicana especializada en medición, estimación y evaluación de software, Fundador de la Asociación Mexicana de Métricas de Software (AMMS).
She received her PhD in Computer Science from the University of Warsaw. She directed the MoProSoft project, which was published as a Mexican standard (MNX-I-059-NYCE) in 2005. Since 2006, she has been the representative of Mexico in WG 24 of ISO JTC1/SC7 Software and System Engineering for the creation of the ISO/IEC 29110 standard for Very Small Entities (VSEs). She is a Full Professor at the Nationa Autonomous University of Mexico (UNAM), where she is the leader of the Kuali-Kaans Research Group.