Exploring the Impacts of Antipatterns on Object‐Oriented, Service‐Oriented, and Mobile‐Oriented Systems.

Saved in:
Bibliographic Details
Title: Exploring the Impacts of Antipatterns on Object‐Oriented, Service‐Oriented, and Mobile‐Oriented Systems.
Authors: Mahmood, Khalid, Baptiste Minani, Jean, Rasool, Ghulam, Sabir, Fatima, Jaafar, Fehmi, Guéhéneuc, Yann‐Gaël
Source: Software: Practice & Experience; Feb2026, Vol. 56 Issue 2, p190-217, 28p
Subject Terms: OBJECT-oriented programming, SERVICE-oriented architecture (Computer science), DESIGN failures, COMPUTER software quality control, COMPUTER software, MAINTENANCE costs, INFORMATION technology
Abstract: Objective: Antipatterns (APs) represent potential issues in software systems stemming from poor design choices, coding practices, and undisciplined development. This systematic literature review analyzes 97 primary studies (PSs) from 2005 to 2024, exploring the impact of APs on Object‐Oriented (OO), Service‐Oriented (SO), and Mobile‐Oriented (MO) systems across various quality attributes. Methods: PSs are classified by techniques, datasets, evaluation measures, and tool support. Result: Findings highlight the association of APs with increased maintenance costs (27.8%), fault‐proneness (26.8%), change‐proneness (12.3%), and evolution challenges (25.7%). Most studies employ descriptive statistics, regression analysis, and Pearson correlation, with limited datasets and tool support for SO and MO systems compared to OO systems. Intermediate source code representations and program comprehension strategies are commonly used for analysis. Conclusion: These findings emphasize the need for further research on the impact of APs, particularly in MO systems, and their negative effects on software quality attributes. [ABSTRACT FROM AUTHOR]
Copyright of Software: Practice & Experience is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Complementary Index
Description
Abstract:Objective: Antipatterns (APs) represent potential issues in software systems stemming from poor design choices, coding practices, and undisciplined development. This systematic literature review analyzes 97 primary studies (PSs) from 2005 to 2024, exploring the impact of APs on Object‐Oriented (OO), Service‐Oriented (SO), and Mobile‐Oriented (MO) systems across various quality attributes. Methods: PSs are classified by techniques, datasets, evaluation measures, and tool support. Result: Findings highlight the association of APs with increased maintenance costs (27.8%), fault‐proneness (26.8%), change‐proneness (12.3%), and evolution challenges (25.7%). Most studies employ descriptive statistics, regression analysis, and Pearson correlation, with limited datasets and tool support for SO and MO systems compared to OO systems. Intermediate source code representations and program comprehension strategies are commonly used for analysis. Conclusion: These findings emphasize the need for further research on the impact of APs, particularly in MO systems, and their negative effects on software quality attributes. [ABSTRACT FROM AUTHOR]
ISSN:00380644
DOI:10.1002/spe.70030