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Enhancing Code Understandability Through a Heuristic Rules Analysis for Small Software Vendors

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Artificial Intelligence and Economic Sustainability in the Era of Industrial Revolution 5.0

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 528))

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Abstract

Small and Medium-Sized Enterprises (SMEs), which are recognized as having a significant impact on the economies of develo** countries, require specialized software frameworks to design and manage their systems. However, software developers often face challenges in maintaining existing software systems, particularly when trying to comprehend complex code. While researchers have proposed code interpretation principles to help with this, these principles do not focus on code structure transformation. In this study, a code transformation approach is presented to improve the readability of code structure. The approach includes a set of heuristic rules based on five primary transformation rules for analysis. Two case studies were conducted to evaluate the effectiveness of the method, and the results show that it is easier and less time-consuming for developers to understand the code under examination when using this approach compared to conventional methods.

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Author information

Authors and Affiliations

  1. Department of Software Engineering, Zarqa University, Zarqa, Jordan

    Deana Al-omari, Issam Jebreen, Ahmad Samhan & Ahmad Nabot

  2. Department of Computer Science, Zarqa University, Zarqa, Jordan

    Ahmad Al-Qerem & Amer Abu Salem

  3. Department of Software Engineering, Jeddah College of Engineering, University of Business and Technology, Jeddah, 21448, Saudi Arabia

    Louai Maghrabi

Authors
  1. Deana Al-omari
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  2. Issam Jebreen
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  3. Ahmad Samhan
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  4. Ahmad Nabot
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  5. Ahmad Al-Qerem
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  6. Amer Abu Salem
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  7. Louai Maghrabi
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Corresponding author

Correspondence to Issam Jebreen .

Editor information

Editors and Affiliations

  1. College of Business and Finance, Ahlia University, Manama, Bahrain

    Abdalmuttaleb M. A. Musleh Al-Sartawi

  2. An-Najah National University, Nablus, Palestine, State of

    Abdulnaser Ibrahim Nour

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Al-omari, D. et al. (2024). Enhancing Code Understandability Through a Heuristic Rules Analysis for Small Software Vendors. In: Musleh Al-Sartawi, A.M.A., Nour, A.I. (eds) Artificial Intelligence and Economic Sustainability in the Era of Industrial Revolution 5.0. Studies in Systems, Decision and Control, vol 528. Springer, Cham. https://doi.org/10.1007/978-3-031-56586-1_4

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  • DOI: https://doi.org/10.1007/978-3-031-56586-1_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-56585-4

  • Online ISBN: 978-3-031-56586-1

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