A Metrics-Based Model for Estimating the Maintenance Effort of Python Software

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Date
2023-05
Author
Mukunga, Catherine W.
Ndia, John G.
Wambugu, Geoffrey M.
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Abstract
Software project management includes a substantial area for estimating software maintenance effort. Estimation of software maintenance effort improves the overall performance and efficiency of software. The Constructive Cost Model (COCOMO) and other effort estimation models are mentioned in literature but are inappropriate for Python programming language. This research aimed to modify the Constructive Cost Model (COCOMO II) by considering a range of Python maintenance effort influencing factors to get estimations and incorporated size and complexity metrics to estimate maintenance effort. A within-subjects experimental design was adopted and an experiment questionnaire was administered to forty subjects aiming to rate the maintainability of twenty Python programs. Data collected from the experiment questionnaire was analyzed using descriptive statistics. Metric values were collected using a developed metric tool. The subject ratings on software maintainability were correlated with the developed model’s maintenance effort, a strong correlation of 0.610 was reported meaning that the model is valid.
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https://aircconline.com/abstract/ijsea/v14n3/14323ijsea02.html
http://hdl.handle.net/123456789/6403
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