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Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Software Maintainability Estimation in Agile Software Development

Software Maintainability Estimation in Agile Software Development
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Author(s): Parita Jain (Amity University, Noida, India), Arun Sharma (IGDTUW, New Delhi, India)and Laxmi Ahuja (Amity University, Noida, India)
Copyright: 2022
Pages: 16
Source title: Research Anthology on Agile Software, Software Development, and Testing
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-6684-3702-5.ch050


View Software Maintainability Estimation in Agile Software Development on the publisher's website for pricing and purchasing information.


Agile methodologies have gained wide acceptance for developing high-quality products with a quick and flexible approach. However, until now, the quality of the agile process has not been validated quantitatively. Quality being important for the software system, there is a need for measurement. Estimating different quality factors will lead to a quality product. Also, agile software development does not provide any precise models to evaluate maintainability. Therefore, there is a need for an algorithmic approach that can serve as the basis for estimation of maintainability. The article proposes an adaptive neuro-fuzzy inference system (ANFIS) model for estimating agile maintainability. Maintainability is one of the prominent quality factors in the case of agile development. The proposed model has been verified and found to be effective for assessing the maintainability of agile software.

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