Abstract
Software reliability is one of the main quality parameters. Accurately, predicting software reliability helps in estimating resource planning and fixing failures. Halstead’s software science can be extended to predict the faults before the testing phase for component-based system faults. In component-based software, the desired reusability can be achieved if components are reliable. As the usage of faulty component increases, the overall reliability of the software decreases. Further, as front-end and back-end components have different faults and different levels of usage, and hence, one needs to understand the functionality separately. A novel fuzzy model is proposed to predict the reliability of the component-based system. The independent study of faults of each component and errors occurred in six months is observed. The proposed model was validated statistically by comparing the predicted and estimated value of reliability.
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Sehgal, R., Mehrotra, D., Nagpal, R. (2020). Early Reliability Prediction Model Integrating Halstead’s Metrics and Fuzzy Usage. In: Jena, A., Das, H., Mohapatra, D. (eds) Automated Software Testing. ICDCIT 2019. Services and Business Process Reengineering. Springer, Singapore. https://doi.org/10.1007/978-981-15-2455-4_6
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DOI: https://doi.org/10.1007/978-981-15-2455-4_6
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