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Modeling the Effects of Project Management Strategies on Long-Term Product Knowledge

Höst, Martin LU (2012) 13th International Conference, PROFES 2012 In Product-Focused Software Process Improvement/Lecture Notes in Computer Science 7343. p.104-115
Abstract (Swedish)
Abstract in Undetermined

In a team, people sometimes leave the team and become replaced by new persons with less experience, and sometimes people participate in new activities and thereby obtain new knowledge. Different processes, in terms of different management strategies, can be followed, e.g., to introduce people to new tasks so they get new knowledge. There is a need to investigate the long term effects of different strategies on a team's software product knowledge. This paper presents an initial approach for how this type of knowledge can be modeled as a stochastic process. Metrics representing the long term effects on knowledge are derived, and two different example strategies are investigated numerically. Based on... (More)
Abstract in Undetermined

In a team, people sometimes leave the team and become replaced by new persons with less experience, and sometimes people participate in new activities and thereby obtain new knowledge. Different processes, in terms of different management strategies, can be followed, e.g., to introduce people to new tasks so they get new knowledge. There is a need to investigate the long term effects of different strategies on a team's software product knowledge. This paper presents an initial approach for how this type of knowledge can be modeled as a stochastic process. Metrics representing the long term effects on knowledge are derived, and two different example strategies are investigated numerically. Based on this it is discussed how the model can be further elaborated and evaluated. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
software process modeling, product knowledge, learning, truck factor
in
Product-Focused Software Process Improvement/Lecture Notes in Computer Science
editor
Dieste, Oscar; Jedlitschka, Andreas; Juristo, Natalia; ; and
volume
7343
pages
104 - 115
publisher
Springer
conference name
13th International Conference, PROFES 2012
external identifiers
  • scopus:84862158035
ISSN
1611-3349
0302-9743
ISBN
978-3-642-31062-1
DOI
10.1007/978-3-642-31063-8_9
language
English
LU publication?
yes
id
92c31a92-0682-4339-8ac9-4a9c0dc6c793 (old id 2797559)
date added to LUP
2012-06-27 09:52:21
date last changed
2017-01-01 03:55:40
@inproceedings{92c31a92-0682-4339-8ac9-4a9c0dc6c793,
  abstract     = {<b>Abstract in Undetermined</b><br/><br>
In a team, people sometimes leave the team and become replaced by new persons with less experience, and sometimes people participate in new activities and thereby obtain new knowledge. Different processes, in terms of different management strategies, can be followed, e.g., to introduce people to new tasks so they get new knowledge. There is a need to investigate the long term effects of different strategies on a team's software product knowledge. This paper presents an initial approach for how this type of knowledge can be modeled as a stochastic process. Metrics representing the long term effects on knowledge are derived, and two different example strategies are investigated numerically. Based on this it is discussed how the model can be further elaborated and evaluated.},
  author       = {Höst, Martin},
  booktitle    = {Product-Focused Software Process Improvement/Lecture Notes in Computer Science},
  editor       = {Dieste, Oscar and Jedlitschka, Andreas and Juristo, Natalia},
  isbn         = {978-3-642-31062-1},
  issn         = {1611-3349},
  keyword      = {software process modeling,product knowledge,learning,truck factor},
  language     = {eng},
  pages        = {104--115},
  publisher    = {Springer},
  title        = {Modeling the Effects of Project Management Strategies on Long-Term Product Knowledge},
  url          = {http://dx.doi.org/10.1007/978-3-642-31063-8_9},
  volume       = {7343},
  year         = {2012},
}