Abstract
While Grammar Inference (GI) has been successfully applied to many diverse domains such as speech recognition and robotics, its application to software engineering has been limited, despite wide use of context-free grammars in software systems. This paper reports current developments and future directions in the applicability of GI to software engineering, where GI is seen to offer innovative solutions to the problems of inference of domain-specific language (DSL) specifications from example DSL programs and recovery of metamodels from instance models.
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References
Črepinšek, M., Mernik, M., Javed, F., Bryant, B.R., Sprague, A.: Extracting grammar from programs: Evolutionary approach. ACM SIGPLAN Notices 40(4), 39–46 (2005)
Dubey, A., Jalote, P., Aggarwal, S.K.: Learning context-free grammar rules from a set of program. IET Software 2(3), 223–240 (2008)
de la Higuera, C.: Grammatical Inference: Learning Automata and Grammars. Cambridge University Press, Cambridge (2010)
Javed, F., Mernik, M., Gray, J., Bryant, B.: MARS: A metamodel recovery system using grammar inference. Information and Software Technology 50, 948–968 (2008)
Karsai, G., Neema, S., Sharp, D.: Model-driven architecture for embedded software: A synopsis and an example. Science of Computer Programming 73(1), 26–38 (2008)
Klint, P., Lämmel, R., Verhoef, C.: Toward an engineering discipline for grammarware. ACM Transactions on Software Engineering Methodology 14(3), 331–380 (2005)
Liu, Q., Bryant, B.R., Mernik, M.: Metamodel recovery from multi-tiered domains using extended MARS. In: Proc. COMPSAC 2010, 34th Annual International Computer Software and Applications Conference (to appear, 2010)
Mernik, M., Hrnčič, D., Bryant, B.R., Javed, F.: Applications of grammatical inference in software engineering: Domain specific language development. In: Martin-Vide, C. (ed.) Scientific Applications of Language Methods, pp. 475–511. Imperial College Press (2010)
Mernik, M., Heering, J., Sloane, A.M.: When and how to develop domain-specific languages. ACM Computing Surveys 37(4), 316–344 (2005)
Moscato, P.: On evolution, search, optimization, genetic algorithms and martial arts: Towards memetic algorithms. Tech. rep., California Institute of Technology, Concurrent Computation Program 158-79 (1989)
Nevill-Manning, C.G., Witten, I.H.: Identifying hierarchical structure in sequences: a linear-time algorithm. Journal of Artificial Intelligence Research 7(1), 67–82 (1997)
Paakki, J.: Attribute grammar paradigms—a high-level methodology in language implementation. ACM Computing Surveys 27(2), 196–255 (1995)
Sakakibara, Y.: Learning context-free grammars using tabular representations. Pattern Recognition 38(9), 1372–1383 (2005)
Schmidt, D.C.: Guest editor’s introduction: Model-driven engineering. IEEE Computer 39(2), 25–31 (2006)
Strnad, D., Guid, N.: Modeling trees with hypertextures. Computer Graphics Forum 23(2), 173–187 (2004)
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Bryant, B.R., Mernik, M., Hrnčič, D., Javed, F., Liu, Q., Sprague, A. (2010). Grammar Inference Technology Applications in Software Engineering. In: Sempere, J.M., García, P. (eds) Grammatical Inference: Theoretical Results and Applications. ICGI 2010. Lecture Notes in Computer Science(), vol 6339. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15488-1_25
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DOI: https://doi.org/10.1007/978-3-642-15488-1_25
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