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\title{A New Metric based on the Weighted Class Complexity (WCC) metric and
measure of complexity for Object-Oriented Systems}



\author[1]{P.G.T Dilmith}%
\author[1]{D. I. De Silva}%
\author[1]{B.M.G Peiris}%
\author[1]{W.A.C. Pabasara}%
\author[1]{P.A.D.S.D Dilshan}%
\author[1]{G.W.C.D Jayathilaka}%
\affil[1]{Sri Lanka Institute of Information Technology Department of Information Technology}%


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  \date{May 07, 2026}


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\begin{abstract}
\textbf{Class-level complexity is a significant component of software
complexity, and measuring software complexity is essential for software
development and maintenance. Although the Weighted Class Complexity
(WCC) metric has a long history of use, it has some drawbacks, including
the equal weighting of complexity components and the exclusion of some
complexity elements,. In this paper, we present a novel metric, the
Enhanced Weighted Class Complexity (EWCC) metric, which extends the WCC
metric by adding more complexity variables and weighting them according
to their relative relevance. Data access patterns, method call chains,
and control structure complexity are among the other variables. In order
to compare the EWCC metric's output to the WCC metric's output, we apply
it to a number of software systems. We assess the EWCC metric's
performance in locating potential error and bug sources. The findings
indicate that, compared to the WCC metric, the EWCC metric offers a more
thorough and precise evaluation of class-level complexity. According to
the results, software developers and maintainers may find the EWCC
measure to be a useful tool for controlling software complexity.}%
\end{abstract}%



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