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Source Code Metrics for Quality in Java
Sherstobitov, Vladyslav ; Dvořák, Tomáš (oponent) ; Křivka, Zbyněk (vedoucí práce)
In order to measure and improve code quality, there needs to be a system in place consisting of quantitative metrics and their analysis. With software quality metrics that represent how well source code is written, source code can be evaluated. Based on this evaluation, code may meet or not meet the criteria set, which may be used for many purposes. The current research shows the program developed based on identified code qualities and related metrics, methods used in creating the program, and test results based on open-source projects.
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Source Code Metrics for Quality in Java
Sherstobitov, Vladyslav ; Burget, Radek (oponent) ; Křivka, Zbyněk (vedoucí práce)
In order to control and improve code quality there needs to be a system in place consisting of quantitative metrics and their analysis. With software quality metrics that best represent how well source code is written, source code can be evaluated. Based on this evaluation, code may meet or not meet the criteria set, which may be used for many purposes. The current research shows program developed based on identified code qualities and related metrics, methods used in creating the program, and test results based on opensource projects.
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Source Code Metrics for Quality in Java
Sherstobitov, Vladyslav ; Dvořák, Tomáš (oponent) ; Křivka, Zbyněk (vedoucí práce)
In order to measure and improve code quality, there needs to be a system in place consisting of quantitative metrics and their analysis. With software quality metrics that represent how well source code is written, source code can be evaluated. Based on this evaluation, code may meet or not meet the criteria set, which may be used for many purposes. The current research shows the program developed based on identified code qualities and related metrics, methods used in creating the program, and test results based on open-source projects.
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Source Code Metrics for Quality in Java
Sherstobitov, Vladyslav ; Burget, Radek (oponent) ; Křivka, Zbyněk (vedoucí práce)
In order to control and improve code quality there needs to be a system in place consisting of quantitative metrics and their analysis. With software quality metrics that best represent how well source code is written, source code can be evaluated. Based on this evaluation, code may meet or not meet the criteria set, which may be used for many purposes. The current research shows program developed based on identified code qualities and related metrics, methods used in creating the program, and test results based on opensource projects.
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