2020•SSRN Electronic JournalOpen access

An Innovative Approach to Analyze Object-Oriented and Aspect-Oriented Application Metrics Using the Java and Aspect Programming Languages

Pankaj Kumar, Satinder Singh

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Abstract

Software processes are often associated with software development, software use, and processing of software applications. The increase in the number of programmatic countermeasures has led to the design and development of new software countermeasures. With the development of object-oriented software, more and more problems arise in object-oriented programming languages. That is why directional software development is in the scene. However, there is little information about many comparison applications for these activities in different programming languages. Therefore, it is difficult for software professionals to choose the right metrics for different paradigm software systems. In this paper, we describe the OOP and AOP based matrices for use by some researchers and professionals. It also includes innovative analysis using correlation matrices that improve or reduce the quality of the program. All the indicators we see are quality predictors.

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What this paper is about

Software processes are often associated with software development, software use, and processing of software applications. The increase in the number of programmatic countermeasures has led to the design and development of new software countermeasures. With the development of object-oriented software, more and more problems arise in object-oriented programming languages. That is why directional software development is in the scene. However, there is little information about many comparison applications for these activities in different programming languages. Therefore, it is difficult for software professionals to choose the right metrics for different paradigm software systems. In this paper, we describe the OOP and AOP based matrices for use by some researchers and professionals. It also includes innovative analysis using correlation matrices that improve or reduce the quality of the program. All the indicators we see are quality predictors.

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Available abstract

Software processes are often associated with software development, software use, and processing of software applications. The increase in the number of programmatic countermeasures has led to the design and development of new software countermeasures. With the development of object-oriented software, more and more problems arise in object-oriented programming languages. That is why directional software development is in the scene. However, there is little information about many comparison applications for these activities in different programming languages. Therefore, it is difficult for software professionals to choose the right metrics for different paradigm software systems. In this paper, we describe the OOP and AOP based matrices for use by some researchers and professionals. It also includes innovative analysis using correlation matrices that improve or reduce the quality of the program. All the indicators we see are quality predictors.

Key concepts: Computer science, Software development, Software engineering, Aspect-oriented programming, Object-oriented programming, Java, Software construction, Software metric

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