State of the art metrics for aspect oriented programming

Mazen Ghareb, Gary Allen

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)


The quality evaluation of software, e.g., defect measurement, gains significance with higher use of software applications. Metric measurements are considered as the primary indicator of imperfection prediction and software maintenance in various empirical studies of software products. However, there is no agreement on which metrics are compelling quality indicators for novel development approaches such as Aspect Oriented Programming (AOP). AOP intends to enhance programming quality, by providing new and novel constructs for the development of systems, for example, point cuts, advice and inter-type relationships. Hence, it is not evident if quality pointers for AOP can be derived from direct expansions of traditional OO measurements. Then again, investigations of AOP do regularly depend on established coupling measurements. Notwithstanding the late reception of AOP in empirical studies, coupling measurements have been adopted as useful markers of flaw inclination in this context. In this paper we will investigate the state of the art metrics for measurement of Aspect Oriented systems development.
Original languageEnglish
Article number020107
Number of pages11
JournalAIP Conference Proceedings
Issue number1
Publication statusPublished - 24 Apr 2018
EventInternational Conference on Electrical, Electronics, Materials and Applied Science - Secunderabad, India
Duration: 22 Dec 201723 Dec 2017


Dive into the research topics of 'State of the art metrics for aspect oriented programming'. Together they form a unique fingerprint.

Cite this