GI LogoGI Logo
  • Login
Digital Library
    • All of DSpace

      • Communities & Collections
      • Titles
      • Authors
      • By Issue Date
      • Subjects
    • This Collection

      • Titles
      • Authors
      • By Issue Date
      • Subjects
Digital Library Gesellschaft für Informatik e.V.
GI-DL
    • English
    • Deutsch
  • English 
    • English
    • Deutsch
View Item 
  •   DSpace Home
  • Lecture Notes in Informatics
  • Proceedings
  • Software Engineering
  • P310 - Software Engineering 2021
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.
  •   DSpace Home
  • Lecture Notes in Informatics
  • Proceedings
  • Software Engineering
  • P310 - Software Engineering 2021
  • View Item

Explaining Pair Programming Session Dynamics from Knowledge Gaps

Author:
Zieris, Franz [DBLP] ;
Prechelt, Lutz [DBLP]
Abstract
Background: Despite a lot of research on the effectiveness of Pair Programming (PP), the question when it is useful or less useful remains unsettled. Method: We analyze recordings of many industrial PP sessions with Grounded Theory Methodology and build on prior work that identified various phenomena related to within-session knowledge build-up and transfer. We validate our findings with practitioners. Result: We identify two fundamentally different types of required knowledge and explain how different constellations of knowledge gaps in these two respects lead to different session dynamics. Gaps in project-specific systems knowledge are more hampering than gaps in general programming knowledge and are dealt with first and foremost in a PP session. Conclusion: Partner constellations with complementary knowledge make PP a particularly effective practice. In PP sessions, differences in system understanding are more important than differences in general software development knowledge.
  • Citation
  • BibTeX
Zieris, F. & Prechelt, L., (2021). Explaining Pair Programming Session Dynamics from Knowledge Gaps. In: Koziolek, A., Schaefer, I. & Seidl, C. (Hrsg.), Software Engineering 2021. Bonn: Gesellschaft für Informatik e.V.. (S. 121-122). DOI: 10.18420/SE2021_48
@inproceedings{mci/Zieris2021,
author = {Zieris, Franz AND Prechelt, Lutz},
title = {Explaining Pair Programming Session Dynamics from Knowledge Gaps},
booktitle = {Software Engineering 2021},
year = {2021},
editor = {Koziolek, Anne AND Schaefer, Ina AND Seidl, Christoph} ,
pages = { 121-122 } ,
doi = { 10.18420/SE2021_48 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
DateienGroesseFormatAnzeige
B1-47.pdf54.94Kb PDF View/Open

Sollte hier kein Volltext (PDF) verlinkt sein, dann kann es sein, dass dieser aus verschiedenen Gruenden (z.B. Lizenzen oder Copyright) nur in einer anderen Digital Library verfuegbar ist. Versuchen Sie in diesem Fall einen Zugriff ueber die verlinkte DOI: 10.18420/SE2021_48

Haben Sie fehlerhafte Angaben entdeckt? Sagen Sie uns Bescheid: Send Feedback

More Info

DOI: 10.18420/SE2021_48
ISBN: 978-3-88579-704-3
ISSN: 1617-5468
xmlui.MetaDataDisplay.field.date: 2021
Language: en (en)
Content Type: Text/ConferencePaper

Keywords

  • Pair Programming
  • Qualitative Research
  • Grounded Theory Methodology
Collections
  • P310 - Software Engineering 2021 [55]

Show full item record


About uns | FAQ | Help | Imprint | Datenschutz

Gesellschaft für Informatik e.V. (GI), Kontakt: Geschäftsstelle der GI
Diese Digital Library basiert auf DSpace.

 

 


About uns | FAQ | Help | Imprint | Datenschutz

Gesellschaft für Informatik e.V. (GI), Kontakt: Geschäftsstelle der GI
Diese Digital Library basiert auf DSpace.