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Mathematical Statistics in SW Engineering Education

Mathematical Statistics in SW Engineering Education
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Author(s): Jaroslav Kral (Charles University, Czech Republic) and Michal Zemlicka (Charles University, Czech Republic)
Copyright: 2003
Pages: 2
Source title: Information Technology & Organizations: Trends, Issues, Challenges & Solutions
Source Editor(s): Mehdi Khosrow-Pour, D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-59140-066-0.ch241
ISBN13: 9781616921248
EISBN13: 9781466665330

Abstract

The methods of mathematical statistics play an increasing role in SW engineering. Mathematical statistics is necessary to understand the functions of many applications as well as to mature SW development methods (proposed by CMM [CMM]). Mathematical statistics is the kernel of the analysis of software metrics. The analysis of software metrics must be used during the evaluation of the properties and impacts of software systems. The problem with mathematical statistics is that computer science students dislike it and are unable to use it. They like the simple Boolean (or black-and-white) world of computers too much. The importance of mathematical statistics and the attitude borrowed from experimental sciences is not even recognized by lecturers. The way to change this situation is discussed.

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