Automatically generating requirements from i* models: experiences with a complex airport operations

Authors:
Cornelius Ncube;James Lockerbie;Neil Maiden
Affiliations:
Centre for HCI Design, City University London, UK;Centre for HCI Design, City University London, UK;Centre for HCI Design, City University London, UK
Venue:
REFSQ'07 Proceedings of the 13th international working conference on Requirements engineering: foundation for software quality
Year:
2007

Citing 4
Cited 2

Understanding “why” in software process modelling, analysis, and design

ICSE '94 Proceedings of the 16th international conference on Software engineering
Mastering the requirements process

Mastering the requirements process
Deriving Tabular Event-Based Specifications from Goal-Oriented Requirements Models

RE '03 Proceedings of the 11th IEEE International Conference on Requirements Engineering
Generating requirements from systems models using patterns: a case study

Requirements Engineering

Experimental comparison of attack trees and misuse cases for security threat identification

Information and Software Technology
Collaborative modelling of reflection to inform the development and evaluation of work-based learning technologies

Proceedings of the 12th International Conference on Knowledge Management and Knowledge Technologies

Quantified Score

Hi-index	0.01

Visualization

Abstract

Research undertaken in RESCUE to bridge the gap between both the model based specification and textual representation of requirements, showed that manually applying requirements generation patterns to i* system models could provide requirements engineers with productivity gains. This paper reports an extension to the RESCUE process in which a revised set of patterns was implemented within our REDEPEND goal modelling tool and trialled through a requirements engineering project for a complex airport operations system. The paper describes how these patterns were applied automatically to i* models in REDEPEND to generate textual candidate requirement statements, the results of this application, the benefits of the approach to the project, and our ongoing research in this area to improve productivity in large-scale requirements engineering projects.