Software requirements are generally expressed in Natural Language. NL is intrinsically ambiguous, and this is seen as a possible source of problems in the later interpretation of requirements. However, ambiguity or under-specification at requirements level can in some cases give an indication of possible variability, either in design choice, in implemen- tation choices or configurability. Taking into account the results of previous analyses conducted on different require- ments documents with NL analysis tools, we attempt a first classification of the forms of ambiguity that indicate varia- tion points, and we indicate an approach to achieve auto- mated support to variability elicitation.

Ambiguity defects as variation points in requirements / Fantechi, Alessandro; Gnesi, Stefania; Semini, Laura. - ELETTRONICO. - (2017), pp. 13-19. (Intervento presentato al convegno Eleventh International Workshop on Variability Modelling of Software-intensive Systems tenutosi a Eindhoven nel 1-3 Feb. 2017) [10.1145/3023956.3023964].

Ambiguity defects as variation points in requirements

FANTECHI, ALESSANDRO;GNESI, STEFANIA;
2017

Abstract

Software requirements are generally expressed in Natural Language. NL is intrinsically ambiguous, and this is seen as a possible source of problems in the later interpretation of requirements. However, ambiguity or under-specification at requirements level can in some cases give an indication of possible variability, either in design choice, in implemen- tation choices or configurability. Taking into account the results of previous analyses conducted on different require- ments documents with NL analysis tools, we attempt a first classification of the forms of ambiguity that indicate varia- tion points, and we indicate an approach to achieve auto- mated support to variability elicitation.
2017
Proceedings of the Eleventh International Workshop on Variability Modelling of Software-intensive Systems
Eleventh International Workshop on Variability Modelling of Software-intensive Systems
Eindhoven
1-3 Feb. 2017
Fantechi, Alessandro; Gnesi, Stefania; Semini, Laura
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1074779
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