Identification of factors that allow potentialize the success of development projects software.

Abstract

Achieving success in software development projects is a task that day are facing companies producing software , studies by various organizations show that the success rate of projects is about 32% , and failed projects around 24% [1], the difference of these relatively low figure which entails that the subject should evaluate and consider taking action; the success of the project depends on the synchronization can be between different factors as human , technical , financial , time , scope, among others. This article analyzes factors of successful and failed projects of a company outsourcing applying data mining techniques in order to obtain patterns that enable the organization to make decisions and lead software projects to achieve success. To achieve this goal the research was conducted following the CRISP- DM methodology , a methodology used as a reference for data mining projects . Finally managed to get a logistic regression model that allowed us to determine the factors that influence the success of a project are expressed by: Excellent definition of roles and responsibilities for project development activities, and the size of the project team ; these being the only 2 of the 27 studied factors able to explain the success or failure of projects.