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

Al-Emran, Ahmed; Kapur, Puneet; Pfahl, Dietmar LU and Ruhe, Günther (2008) International Conference on Software Process, ICSP 2008, May 10-11 In Making globally distributed software development a success story / Lecture notes in computer science 5007. p.269-281
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... (More)
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. (Less)
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author
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
Making globally distributed software development a success story / Lecture notes in computer science
volume
5007
pages
269 - 281
publisher
Springer
conference name
International Conference on Software Process, ICSP 2008, May 10-11
external identifiers
  • scopus:44649142104
ISSN
0302-9743
1611-3349
ISBN
978-3-540-79587-2
DOI
10.1007/978-3-540-79588-9_24
language
English
LU publication?
no
id
0e8fb0e3-d61a-4618-8c3d-c6b5e88cb481 (old id 1669488)
date added to LUP
2010-09-09 15:14:29
date last changed
2017-05-14 03:39:54
@inproceedings{0e8fb0e3-d61a-4618-8c3d-c6b5e88cb481,
  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.},
  author       = {Al-Emran, Ahmed and Kapur, Puneet and Pfahl, Dietmar and Ruhe, Günther},
  booktitle    = {Making globally distributed software development a success story / Lecture notes in computer science},
  isbn         = {978-3-540-79587-2},
  issn         = {0302-9743},
  language     = {eng},
  pages        = {269--281},
  publisher    = {Springer},
  title        = {Simulating worst case scenarios and analyzing their combined effect in operational release planning},
  url          = {http://dx.doi.org/10.1007/978-3-540-79588-9_24},
  volume       = {5007},
  year         = {2008},
}