Analyzing the Evolution of Javascript Applications

Chatzimparmpas, Angelos; Bibi, Stamatia; Zozas, Ioannis; Kerren, Andreas

doi:10.5220/0007727603590366

Cited by 6 publications

(1 citation statement)

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“…Moreover, Gonzalez-Barahona et al [24] studied one large open-source system (glib) and found linear growth with regards to the size. Chatzimparmpas et al [25] studied the evolution of 7500 releases of JavaScript applications and found constant change and growth.…”

Section: Related Workmentioning

confidence: 99%

Internal Quality Evolution of Open-Source Software Systems

Alenezi

2021

Applied Sciences

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The evolution of software is necessary for the success of software systems. Studying the evolution of software and understanding it is a vocal topic of study in software engineering. One of the primary concepts of software evolution is that the internal quality of a software system declines when it evolves. In this paper, the method of evolution of the internal quality of object-oriented open-source software systems has been examined by applying a software metric approach. More specifically, we analyze how software systems evolve over versions regarding size and the relationship between size and different internal quality metrics. The results and observations of this research include: (i) there is a significant difference between different systems concerning the LOC variable (ii) there is a significant correlation between all pairwise comparisons of internal quality metrics, and (iii) the effect of complexity and inheritance on the LOC was positive and significant, while the effect of Coupling and Cohesion was not significant.

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Section: Related Workmentioning

confidence: 99%