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Text to software: developing tools to close the gaps in software engineering

Tichy, Walter F.; Körner, Sven

Software development relies heavily on manual processes for transforming requirements into software artifacts such as models, source code, or test cases. Requirements are the starting point for these transformations, and they are typically written in natural language. However, hardly any automated tools exist that translate natural language texts into software artifacts. We propose to adapt recent advances in natural language processing and semantic technologies to generate UML models, test cases, and perhaps even source code, from natural language input. Though earlier efforts in automatic programming had limited success, we are now in a situation where extracting meaning from text has made substantial progress. For example, encouraging results for generating UML models from textual requirements have been achieved. It might even be possible to generate executable test cases. An intermediate step would be to generate tests from API documentation (which would also be a useful capability in itself). An even greater advance would be to automate rote coding. In all of these cases, entirely new classes of software tools would be needed t ... mehr

Zugehörige Institution(en) am KIT Institut für Programmstrukturen und Datenorganisation (IPD)
Publikationstyp Proceedingsbeitrag
Jahr 2010
Sprache Englisch
Identifikator DOI: 10.1145/1882362.1882439
ISBN: 978-145030427-6
KITopen ID: 1000055671
Erschienen in Proceedings of the FSESDP workshop on Future of software engineering research, 2010, Santa Fe, NM
Verlag ACM
Seiten 379-384
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