Abstract
Operational release planning (ORP) is concerned with assigning human resources to development tasks in software projects such that a defined set of product features can be completed under given constraints. In this paper, we present a simulation-based approach to study the impact of uncertainty. Uncertainty parameters considered in this paper are related to the features themselves (functionality, effort) and to developers (availability and productivity). The effect of variation of these four parameters (two static and two dynamic) on make-span is studied in isolation and in combination. This is done for three levels of (stochastic) pessimism (”bad”, ”worse”, and ”worst”). In addition to that, a comparison is done with a deterministic worst case scenario. To illustrate the applicability of the method and usefulness of results, we have conducted an explorative case study at Chartwell Technology Inc.
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Al-Emran, A., Kapur, P., Pfahl, D., Ruhe, G. (2008). Simulating Worst Case Scenarios and Analyzing Their Combined Effect in Operational Release Planning. In: Wang, Q., Pfahl, D., Raffo, D.M. (eds) Making Globally Distributed Software Development a Success Story. ICSP 2008. Lecture Notes in Computer Science, vol 5007. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-79588-9_24
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DOI: https://doi.org/10.1007/978-3-540-79588-9_24
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