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In an earlier paper, we established 9 models for estimating errors in a new project. In this paper, we integrate the 9 models into 5 by investigating similarities among the models. In addition, we establish a new model using an artificial neural network (ANN). It is becoming increasingly important for software-development corporations to ascertain how to develop software efficiently, whilst guaranteeing...
In this study, we analyze and evaluate development data obtained in the course of "OMRON software Co.", that develops equipments used in financial markets, as well as data obtained during the development of software. Because of this, it is becoming very important for the software- development corporations to find how to develop software efficiently while guaranteeing delivery time and quality,...
In this paper, we outline the effort prediction model and the evaluation experiment. In addition we explore the parameters in the model. The model predicts effort of embedded software developments via multiple regression analysis using the collaborative filtering. Because companies, recently, focus on methods to predict effort of projects, which prevent project failures such as exceeding deadline...
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