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An empirical investigation using artificial neural networks to evaluate the manageability of object-oriented systems

Bindeshwar Prasad


Software can be called quality software if it produces consistent outputs over multiple time of testing. There can be very much difficulties to modify and maintain the software with poor maintainability. For assessing the characteristics of object-oriented software, such as scale, inheritance, integrity, and coupling, numerous object-oriented metrics have been recommended. In this study, we explore object-oriented variables that have the potential to be significant antecedents of software maintenance. In order to achieve this, we established a model based on the data gathered from intermediate object-oriented technology industry initiatives. The proposed model in this paper, is using Artificial Neural Network (ANN) which can be used to build tools for software development and maintenance tasks as Neural Network have learning abilities and are particularly useful for poorly understood problem domains.

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