Abstract
Nowadays, wide consensus exists about the importance of conceptual modelling in the definition of software systems that correctly fit the user’s needs. In the middle of the MDD (Model-Driven Development) or MDA (Model-Driven Architecture) era, we can find a relevant set of widely spread modelling-based software production techniques, always based on well-founded concepts and methods that show that only having a precise system description, its corresponding software product can be properly understood. But it is interesting to see how these principles are not so commonly applied in current, challenging domains as Bioinformatics, where the management of tons of data is an increasing problematic issue, and where too often we can find serious problems in their manipulation that remember the data quality problems worked out for years within the Information Systems and Software Engineering communities.
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Pastor, O. (2010). Understanding the Human Genome: A Conceptual Modeling-Based Approach. In: Bringas, P.G., Hameurlain, A., Quirchmayr, G. (eds) Database and Expert Systems Applications. DEXA 2010. Lecture Notes in Computer Science, vol 6261. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15364-8_38
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DOI: https://doi.org/10.1007/978-3-642-15364-8_38
Publisher Name: Springer, Berlin, Heidelberg
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