Abstract
This paper aims to analyze and identify the variations and similarities between models/standards in the software quality domain. The approach combines analysis at several levels, starting with a naive comparison done by the software quality expert, going through several NLP specific similarities measures. The final goal is to be able to rapidly identify solutions to make a software compliant with new standard. The focus of the current study is on the lexical analysis of software quality models based on natural language processing.
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Motogna, S., Lupsa, D., Ciuciu, I. (2019). A NLP Approach to Software Quality Models Evaluation. In: Debruyne, C., Panetto, H., Guédria, W., Bollen, P., Ciuciu, I., Meersman, R. (eds) On the Move to Meaningful Internet Systems: OTM 2018 Workshops. OTM 2018. Lecture Notes in Computer Science(), vol 11231. Springer, Cham. https://doi.org/10.1007/978-3-030-11683-5_24
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