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

Author:

Heričko Tjaša1ORCID,Šumak Boštjan1ORCID

Affiliation:

1. Faculty of Electrical Engineering and Computer Science, University of Maribor, Koroška Cesta 46, 2000 Maribor, Slovenia

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.

Funder

Slovenian Research Agency

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Reference75 articles.

1. (2022). Standard No. ISO/IEC/IEEE 14764:2022.

2. Satapathy, S., Bhateja, V., and Joshi, A. (2017, January 10–11). Software Maintenance: From the Perspective of Effort and Cost Requirement. Proceedings of the International Conference on Data Engineering and Communication Technology, Maharashtra, India.

3. A Method for Estimating Maintenance Cost in a Software Project: A Case Study;J. Softw. Maint.,1997

4. Ren, Y., Xing, T., Chen, X., and Chai, X. (2011, January 28–29). Research on Software Maintenance Cost of Influence Factor Analysis and Estimation Method. Proceedings of the 2011 3rd International Workshop on Intelligent Systems and Applications, Wuhan, China.

5. (2017). Standard No. ISO/IEC 25010:2011.

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Microservices Architecture for Improved Maintainability and Traceability in MVC-Based E-Learning Platforms: RoadMap for Future Developments;2024 15th International Conference on Information and Communication Systems (ICICS);2024-08-13

2. Program Code Generation with Generative AIs;Algorithms;2024-01-31

3. Empirical Evaluation of Maintainability Index Accuracy for Measuring Maintainability of Python Programs*;2023 Tenth International Conference on Software Defined Systems (SDS);2023-10-23

4. An Investigation on the Use of Heterogeneous Ensemble Machine Learning in Predicting Two Measures of Software Maintainability;2023 International Conference on Decision Aid Sciences and Applications (DASA);2023-09-16

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3