New Factors Affecting Productivity of the Software Factory

Productivity is very important because it allows organizations to achieve greater efficiency and effectiveness in their activities; however, it is affected by numerous factors. While these factors have been identified for over two decades, all of the previous works limited the software factory to the programming work unit and did not analyze other work units that are also relevant. 90% of a software factory's effort is absorbed by the software production component, 85% of which is concentrated in the efforts of the analysis and design, programming, and testing work units. The present work identifies three new factors that influence the software factory, demonstrating that the use of rules and events influences analysis & design, team heterogeneity negatively affects analysis and design and positively affects programming; and the osmotic communication affects programming. An empirical study on software factories in Peru, determined that 95% of the influence came from these factors, which corroborated as well that team size and trust within the team influences in software production.

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

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.

A Review of Literature About Models and Factors of Productivity in the Software Factory

Software factories seek to develop quality software in a manner comparable to the production of other industrial products, establishing improvements in their production process so as to be more competitive. Productivity, one of the competitiveness pillars, is related to the effort required to fulfill assigned tasks. However, there is no standard way of measuring productivity, making it difficult to establish policies and strategies to improve the factory. In this article, the authors perform a systematic review of the literature on factors affecting productivity of software factories, and models for measuring it. For the period 2005-2017, 74 factors and 10 models are identified. Most of the factors are related to Programming, and a few to Analysis and Design and Testing. Also, most models for measuring productivity only consider activities concerning programming.

Tecnologías de industria 4.0 aplicables para el desarrollo de PYMES

INTRODUCCIÓN. La industria 4.0 abarca distintas tecnologías, por lo que, se ha desarrollado un sistema que utiliza parte de estas técnicas, con el fin de emplearlas para el progreso y desarrollo de Pymes. OBJETIVO. Simular un sistema para el control y monitoreo de procesos, que permita planificar la producción en Pymes. MÉTODO. El sistema de control y adquisición de datos se realizó con el software Ignition SCADA de Inductive Automation, la base de datos utilizada fue MYSQL, para el control del PLC se utilizó el software TIA PORTAL de Siemens y la simulación de la planta se realizó con el software Factory IO. RESULTADOS. El sistema desarrollado permite adquirir las señales del controlador lógico programable y enviarlas al servidor OPC-UA de Ignition de manera que se comunica con el SCADA, a su vez los datos del sensor de altura y los identificadores de los productos son enviados a la base de datos de MySQL. DISCUSIÓN Y CONCLUSIONES. El desarrollo del sistema con tecnologías aplicables en la industria 4.0, ha permitido tener una mejor toma de decisiones, una trazabilidad, una gestión de stock y datos de almacenamiento para el desarrollo de pequeñas y medianas empresas.

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

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.

Poisson para tasa de defectos en construcción de software

This paper documents the process of statistical modeling of a probable defect rate, using the Poisson distribution, in software construction. This rate is very important since it is used to estimate defects in products of the Technological University of León´s, UTL, software factory. The UTL’s software factory has implemented the CMMI model for development at level 4 and the preliminary results obtained were part of the work reaching the level; and they can be of great help for organizations and companies interested in the implementation of this model.