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The software is changing rapidly with the invention of advanced technologiesand methodologies. The ability to rapidly and successfully upgrade software inresponse to changing business requirements is more vital than ever. For thelong-term management of software products, measuring software maintainabilityis crucial. The use of soft computing techniques for software maintainabilityprediction has shown immense promise in software maintenance process byproviding accurate prediction of software maintainability. To better understandthe role of soft computing techniques for software maintainability prediction,we aim to provide a systematic literature review of soft computing techniquesfor software maintainability prediction. Firstly, we provide a detailedoverview of software maintainability. Following this, we explore thefundamentals of software maintainability and the reasons for adopting softcomputing methodologies for predicting software maintainability. Later, weexamine the soft computing approaches employed in the process of softwaremaintainability prediction. Furthermore, we discuss the difficulties andpotential solutions associated with the use of soft computing techniques topredict software maintainability. Finally, we conclude the review with somepromising future directions to drive further research innovations anddevelopments in this promising area.

A Systematic Literature Review of Soft Computing Techniques for Software  Maintainability Prediction: State-of-the-Art, Challenges and Future  Directions