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A Simulation Model for Application Development in Enterprise Data Platforms

A Simulation Model for Application Development in Enterprise Data Platforms
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Author(s): Nayem Rahman (Portland State University, USA)
Copyright: 2023
Pages: 17
Source title: Encyclopedia of Data Science and Machine Learning
Source Author(s)/Editor(s): John Wang (Montclair State University, USA)
DOI: 10.4018/978-1-7998-9220-5.ch171

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Abstract

Behind the scheduled delivery of poor-quality products overrunning the cost or budget are the major blames the software development industry has to handle even today, at its apparent peak period of excellence at present. In spite of continuous refinement over the last four-five decades, it is still not free from many genuine criticisms like these. To get rid of these criticisms gradually, proper evaluation of different software development controls and measures, and timely elimination of code defects in each stage of data platform application development are required to ensure better management of software development life cycle and improved performance of the launched software. This article presents a simulation model of a data platform using code inspection and code scorecard and comparing the removal rate of code defects. Results of the simulation model prepared by the authors show a significant reduction in code defects, improved software development processes, and flawless production execution, which is expected to enable the software developers to improve their current processes.

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