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

Höst, Martin (author)
Lund University,Lunds universitet,Institutionen för datavetenskap,Institutioner vid LTH,Lunds Tekniska Högskola,Department of Computer Science,Departments at LTH,Faculty of Engineering, LTH
Dieste, Oscar (editor)
Jedlitschka, Andreas (editor)
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Juristo, Natalia (editor)
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 (creator_code:org_t)
Berlin, Heidelberg : Springer Berlin Heidelberg, 2012
2012
English.
In: Product-Focused Software Process Improvement/Lecture Notes in Computer Science. - Berlin, Heidelberg : Springer Berlin Heidelberg. - 0302-9743 .- 1611-3349. - 9783642310621 ; 7343, s. 104-115
  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • Abstract in UndeterminedIn 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.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Sciences (hsv//eng)

Keyword

software process modeling
product knowledge
learning
truck factor

Publication and Content Type

kon (subject category)
ref (subject category)

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Höst, Martin
Dieste, Oscar
Jedlitschka, And ...
Juristo, Natalia
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