Extracting Requirements from Scenarios with ILP

  • Authors:
  • Dalal Alrajeh;Oliver Ray;Alessandra Russo;Sebastian Uchitel

  • Affiliations:
  • Imperial College London,;Imperial College London, and University of Cyprus,;Imperial College London,;Imperial College London, and University of Buenos Aires/CONICET,

  • Venue:
  • Inductive Logic Programming
  • Year:
  • 2007

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Abstract

Requirements Engineering involves the elicitationof high-level stakeholder goals and their refinementinto 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.