Abstract
Software development is a greatly multifaceted and intellect-oriented movement. In the early days of program development, developers engraved programs using machine language in which programmers consumed added time, thinking about a particular machine’s instruction set than the difficulty at hand. Progressively, programmers wandered to higher level languages. In order to progress software using higher level languages, there are different approaches and selection of software development approach depending on the type of application to be established. Aspect-oriented software development (AOSD) is a novel paradigm in software development that addresses certain concerns in software development that regards modularization as an important aspect. The practices of AOSD create the possibilities to modularize, crosscutting the concerns of a system. Analogous to objects in object-oriented software development, aspects in AOSD may ascend at any point of time of the software life cycle, containing requirements specification, design, implementation, etc. As this effort is built on empirical validating aspect-oriented metrics, coupling on method call (CMC) metric is selected. This work focuses on empirical validation of the metrics. Novel metric is cognitive weighted metric, which is calculated for CMC to calculate the coupling complexity value of the aspect.
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References
Kiczales, G., Lamping, J., Mendhekar, A., Maeda, C., Lopes, C., Loingtier, J.M., Irwin, J.: Aspect-Oriented Programming, pp. 220–242. Springer, Berlin, Heidelberg (1997)
The AspectJ Team: The AspectJ Programming Guide (2003)
Ceccato, M., Tonella, P.: Measuring the Effects of Software Aspectization: WARE (2004)
Aloysius, A., Arockia Sahaya Sheela, G.: Aspect oriented programming metrics—a survey. Int. J. Emerg. Trends Comput. Commun. Technol. 1(3), 125–130 (2015)
Kulesza, U.: Quantifying the effects of aspect-oriented programming: a maintenance study. In: 22nd IEEE International Conference on Software Maintenance 2006, ICSM’06. IEEE (2006)
The AspectJ Team: The AspectJ Programming Guide (2001). Gradecki, J.D., Lesiecki, N.: Mastering AspectJ—Aspect-Oriented Programming in Java (2003)
Bartsch, M., Harrison, R.: An evaluation of coupling measures for AspectJ. In: LATE Workshop AOSD (2006)
Wang, Y.: On cognitive informatics. In: IEEE International Conference on Cognitive Informatics, pp. 69–74 (2002)
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Martin, K.R., Kirubakaran, E., George Dharma Prakash Raj, E. (2018). Coupling on Method Call Metric—A Cognitive Approach. In: Rajsingh, E., Veerasamy, J., Alavi, A., Peter, J. (eds) Advances in Big Data and Cloud Computing. Advances in Intelligent Systems and Computing, vol 645. Springer, Singapore. https://doi.org/10.1007/978-981-10-7200-0_22
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DOI: https://doi.org/10.1007/978-981-10-7200-0_22
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