Exploring Maintainability Index Variants for Software Maintainability Measurement in Object-Oriented Systems

Abstract

During maintenance, software systems undergo continuous correction and enhancement activities due to emerging faults, changing environments, and evolving requirements, making this phase expensive and time-consuming, often exceeding the initial development costs. To understand and manage software under development and maintenance better, several maintainability measures have been proposed. The Maintainability Index is commonly used as a quantitative measure of the relative ease of software maintenance. There are several Index variants that differ in the factors affecting maintainability (e.g., code complexity, software size, documentation) and their given importance. To explore the variants and understand how they compare when evaluating software maintainability, an experiment was conducted with 45 Java-based object-oriented software systems. The results showed that the choice of the variant could influence the perception of maintainability. Although different variants presented different values when subjected to the same software, their values were strongly positively correlated and generally indicated similarly how maintainability evolved between releases and over the long term. Though, when focusing on fine-grained results posed by the Index, the variant selection had a larger impact. Based on their characteristics, behavior, and interrelationships, the variants were divided into two distinct clusters, i.e., variants that do not consider code comments in their calculation and those that do.

Program Code Generation with Generative AIs

“…The maintainability index (MI) is designed to quantify the maintainability of code independent of a computational environment. For calculating the maintainability index, we used the following formula which expresses the maintainability index as a number between 0 and 100 and is proposed by [59]:…”

“…where HV is Halstead volume, CC is cyclomatic complexity and LOC is lines of code [59]. A higher maintainability index indicates program code with a higher maintainability.…”