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Extracting Requirements from Scenarios using ILP
Dalal Alrajeh, Oliver Ray, Alessandra Russo, Sebastian Uchitel
- Conference or Workshop Paper
- 16th International Conference on Inductive Logic Programming
- September, 2007
- Lecture Notes in Computer Science
- Volume 4455
- pp.64–78
- Springer Verlag
- ISBN 978-3-540-73846-6
- Abstract
Requirements Engineering involves the elicitation of high-level stakeholder goals and their refinement into operational system requirements. A key difficulty is that stakeholders typically convey their goals indirectly through intuitive narrative-style scenarios of desirable and undesirable system behaviour, whereas goal refinement methods usually require goals to be expressed declaratively using, for instance, a temporal logic. Currently, the extraction of formal requirements from scenario-based descriptions is a tedious and error-prone process that would benefit from automated tool support.
We present an ILP methodology for inferring requirements from a set of scenarios and an initial but incomplete requirements specification. The approach is based on translating the specification and scenarios into an event-based logic programming formalism and using a non-monotonic ILP system to learn a set of missing event preconditions. The contribution of this paper is a novel application of ILP to requirements engineering that also demonstrate the need for non-monotonic learning
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