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ThinkMind // eKNOW 2013, The Fifth International Conference on Information, Process, and Knowledge Management // View article eknow_2013_2_50_60175


An Expert-Driven Bayesian Network Model for Simulating and Predicting Software Quality

Authors:
Lukasz Radlinski

Keywords: Bayesian network, modeling, software quality, expert knowledge, simulation, prediction

Abstract:
The main goal of this work is to build an expert-driven Bayesian network model for simulating and predicting software quality. In contrast with earlier models, this model represents software quality as a hierarchy of features and their sub-features where the features are interrelated with other. It contains a range of project and process factors that influence particular quality features. It has been pre-calibrated using results from the questionnaire survey performed among software engineers and managers in various software organizations. Managers in software projects can use such model to simulate and predict various aspects of software quality, typically at the early stage of project lifecycle. Proposed may become a central part of the future decision support system aimed to analyze, understand, manage and optimize a software development process.

Pages: 26 to 31

Copyright: Copyright (c) IARIA, 2013

Publication date: February 24, 2013

Published in: conference

ISSN: 2308-4375

ISBN: 978-1-61208-254-7

Location: Nice, France

Dates: from February 24, 2013 to March 1, 2013

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