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

In English

Författare

Redaktör

  • Oscar Dieste
  • Andreas Jedlitschka
  • Natalia Juristo

Summary, in English

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.

Publiceringsår

2012

Språk

Engelska

Sidor

104-115

Publikation/Tidskrift/Serie

Product-Focused Software Process Improvement/Lecture Notes in Computer Science

Volym

7343

Dokumenttyp

Konferensbidrag

Förlag

Springer

Ämne

  • Computer Science

Nyckelord

  • software process modeling
  • product knowledge
  • learning
  • truck factor

Conference name

13th International Conference, PROFES 2012

Conference date

2012-06-13 - 2012-06-15

Conference place

Madrid, Spain

Status

Published

ISBN/ISSN/Övrigt

  • ISSN: 1611-3349
  • ISSN: 0302-9743
  • ISBN: 978-3-642-31062-1