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A Comprehensive Analysis for Validation of AVISAR Object-Oriented Testing Tool

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Machine Learning for Predictive Analysis

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 141))

Abstract

In this paper, we have attempted to present the procedural implementation and validation of the three-level testing framework of “AVISAR” for effectual and exhaustive testing of the object-oriented softwares for providing an the effective and collective set of test cases that will be used to make ensure maximum accuracy without including any kind of redundancy for a object-oriented software which is being putted under test with ensuring the maximum code coverage.

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Correspondence to Prashant Vats .

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Vats, P., Mandot, M. (2021). A Comprehensive Analysis for Validation of AVISAR Object-Oriented Testing Tool. In: Joshi, A., Khosravy, M., Gupta, N. (eds) Machine Learning for Predictive Analysis. Lecture Notes in Networks and Systems, vol 141. Springer, Singapore. https://doi.org/10.1007/978-981-15-7106-0_60

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