A Model Based on Data Envelopment Analysis for the Measurement of Productivity in the Software Factory

Author:

Castañeda Pedro1ORCID,Mauricio David2ORCID

Affiliation:

1. Universidad Peruana de Ciencias Aplicadas, Universidad Nacional Mayor de San Marcos, Peru

2. Universidad Nacional Mayor de San Marcos, Peru

Abstract

Productivity in software factories is very important because it allows organizations to achieve greater efficiency and effectiveness in their activities. One of the pillars of competitiveness is productivity, and it is related to the effort required to accomplish the assigned tasks. However, there is no standard way to measure it, making it difficult to establish policies and strategies to improve the factory. In this work, a model based on data envelopment analysis is presented to evaluate the relative efficiency of the software factories and their projects, to measure the productivity in the software production component of the software factory through the activities that are carried out in their different work units. The proposed model consists of two phases in which the productivity of the software factory is evaluated and the productivity of the projects it conducts is assessed. Numerical tests on 6 software factories with 160 projects implemented show that the proposed model allows one to assess the software factories and the most efficient projects.

Publisher

IGI Global

Subject

General Computer Science

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Research on machine learning to reduce cost and increase efficiency in factories;Proceedings of the 2023 4th International Conference on Big Data Economy and Information Management;2023-12-08

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