Simulating worst case scenarios and analyzing their combined effect in operational release planning

Authors:
Ahmed Al-Emran;Puneet Kapur;Dietmar Pfahl;Guenther Ruhe
Affiliations:
University of Calgary;Chartwell Technology Inc.;University of Calgary and Simula Research Laboratory and University of Oslo, Department of Informatics;University of Calgary
Venue:
ICSP'08 Proceedings of the Software process, 2008 international conference on Making globally distributed software development a success story
Year:
2008

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Abstract

Operational release planning (ORP) is concerned with assigning humanresources to development tasks in software projects such that a defined setof product features can be completed under given constraints. In this paper, wepresent a simulation-based approach to study the impact of uncertainty. Uncertaintyparameters considered in this paper are related to the features themselves(functionality, effort) and to developers (availability and productivity). The effectof variation of these four parameters (two static and two dynamic) onmake-span is studied in isolation and in combination. This is done for three levelsof (stochastic) pessimism ("bad", "worse", and "worst"). In addition to that,a comparison is done with a deterministic worst case scenario. To illustrate theapplicability of the method and usefulness of results, we have conducted anexplorative case study at Chartwell Technology Inc.