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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 10 Issue 5, 2019.
Abstract: Software metrics are created and used by the distinctive programming associations intended for assessing, guaranteeing program excellence, activity, and software recovery. Software metrics have turned into a basic part of programming growth and are utilized in each period of the product development life cycle. Software metrics essentially measure programming items like plan source code and help us in taking technical and administrative choices. The desire of this examination is to play out the relative investigation of static and dynamic metrics. In any case, software quality characteristics, for example, performance, execution time and dependability rely upon the dynamic exercises of the product artifact. Due to every one of these variables, we favor dynamic metrics instead of customary static metrics. With the assistance of customary static metrics, we are not capable to analyze different actualities of programming. There are various types of this OO static and dynamic equipments. In this paper we have played out a similar investigation of different OO static and dynamic metrics tools and find out the hybrid too is counted as best one extraction of both, static and dynamic characteristics from mobile Android applications. The source code and a Docker compartment is utilized by open source tool in only three phases pre-static, static and dynamic examination.
Babur Hayat Malik, Javaria Khalid, Hafsa Arif, Ayesha Sadiqa, Amara Tanveer, Asia Mumtaz, Zartashiya Afzal, Samreen Azhar and Muhammad Numan Ali, “Comparing Hybrid Tool for Static and Dynamic Object-Oriented Metrics” International Journal of Advanced Computer Science and Applications(IJACSA), 10(5), 2019. http://dx.doi.org/10.14569/IJACSA.2019.0100568
@article{Malik2019,
title = {Comparing Hybrid Tool for Static and Dynamic Object-Oriented Metrics},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2019.0100568},
url = {http://dx.doi.org/10.14569/IJACSA.2019.0100568},
year = {2019},
publisher = {The Science and Information Organization},
volume = {10},
number = {5},
author = {Babur Hayat Malik and Javaria Khalid and Hafsa Arif and Ayesha Sadiqa and Amara Tanveer and Asia Mumtaz and Zartashiya Afzal and Samreen Azhar and Muhammad Numan Ali}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.