Abstract
Many problems facing software engineers demand ‘optimal’ performance in multiple dimensions, such as computational overhead and development overhead. For these complex problems, designing an optimal solution based upon a single programming paradigm is not feasible. A more appropriate solution is to create a solution framework that embraces multiple programming paradigms, each of which is optimal for a well-defined region of the problem space. This paper proposes a theory for creating multi-paradigm software solutions that is inspired by two contributions from theoretical physics: model dependent realism and M-Theory. The proposed theoretical framework, which we call ‘S-Theory’, promotes the creation of actor-optimal solution frameworks, encourages technology reuse and identifies promising research directions. We use the field of sensor networks as a running example.
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Hughes, D., Bencomo, N., Morin, B., Huygens, C., Shen, Z., Man, K.L. (2013). S-Theory: A Unified Theory of Multi-paradigm Software Development. In: Park, J.J.(.H., Arabnia, H.R., Kim, C., Shi, W., Gil, JM. (eds) Grid and Pervasive Computing. GPC 2013. Lecture Notes in Computer Science, vol 7861. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38027-3_78
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DOI: https://doi.org/10.1007/978-3-642-38027-3_78
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