Towards understanding communication structure in Pair Programming

verfasst von

Kai Stapel, Eric Knauss, Kurt Schneider, Matthias Becker

Abstract

Pair Programming has often been reported to be beneficial in software projects. To better understand where these benefits come from we evaluate the aspect of intra-pair communication. Under the assumption that the benefits stem from the information being exchanged, it is important to analyze the types of information being communicated. Based on the Goal Question Metric method we derive a set of relevant metrics and apply them in an eXtreme Programming class room project. Data covering a total of 22.9 hours of intra-pair communication was collected. We found that only 7% of the conversations were off-topic (e.g. private), 11% about requirements, 14% about design, and 68% about implementation details (e.g. syntax). Accordingly, a great share of the information being exchanged in Pair Programming is on a low level of abstraction. These results represent a first data point on what kind of information is communicated to what extent during Pair Programming.

Organisationseinheit(en)

Fachgebiet Software Engineering
Fachgebiet Mensch-Computer-Interaktion

Typ

Aufsatz in Konferenzband

Seiten

117-131

Anzahl der Seiten

15

Publikationsdatum

2010

Publikationsstatus

Veröffentlicht

Peer-reviewed

Ja

ASJC Scopus Sachgebiete

Management-Informationssysteme, Steuerungs- und Systemtechnik, Betriebswirtschaft und Internationales Management, Information systems, Modellierung und Simulation, Informationssysteme und -management

Elektronische Version(en)

https://doi.org/10.1007/978-3-642-13054-0_9 (Zugang: Geschlossen)