Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/4029
Title: Quantitative Measurement of Scientific Software Quality: Definition of a Novel Quality Model
Authors: Koteska, Bojana 
Mishev, Anastas 
Pejov, Ljupco 
Issue Date: Mar-2018
Publisher: World Scientific Pub Co Pte Lt
Journal: International Journal of Software Engineering and Knowledge Engineering
Abstract: This paper presents a novel quality model, which provides a quantitative assessment of the attributes evaluated at each stage of development of scientific applications. This model is defined by selecting a set of attributes and metrics that affect the quality of applications. It is based on the established quality standards. The practical application and verification of the quality model is confirmed by two case studies. The first is an application for solving one-dimensional and two-dimensional Schrödinger equations, using the discrete variables representation method. The second is an application for calculating an ECG-derived heart rate and respiratory rate. The first application follows a development model for scientific applications, which includes some software engineering practices. The second application does not use a specific development model, rather, it is developed ad hoc. The quality of the applications is evaluated through comparative analyses using the proposed model. Based on software quality metrics, the results of this study indicate that the application for solving one-dimensional and two-dimensional Schrödinger equations produces more desirable results.
URI: http://hdl.handle.net/20.500.12188/4029
DOI: 10.1142/s0218194018500146
Appears in Collections:Faculty of Computer Science and Engineering: Journal Articles

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