Sign inSubmit
computersciencejournal.org is not ours. This journal is published only at thescipub.com/jcs. Report a suspicious emailcomputersciencejournal.org is not ours · Report
ArticleMetrics
Research Article · Open access · Published 20 May 2017

Optimising Pair Programming in a Scholastic Framework: A Design Pattern Perspective

Smitha Rajagopal1, Katiganere Siddaramappa Hareesha1 & Poornima Panduranga Kundapur1

Journal of Computer Science, Volume 13, Issue 6, pp. 199–210 · doi.org/10.3844/jcssp.2017.199.210

7,250 accesses4,553 downloads1 citations (Crossref)Metrics
Cite Check for updates

Abstract

Pair programming is one of the widely used practices of Extreme Programming (XP). XP is a software development process which intends to enhance quality of software code in order to cater to the ever increasing demands of customers looking for IT solutions. Pair programming promotes team building, raises confidence among individuals and eventually results in richer and a better codebase. As an attempt to compare solo and pair programming, group of post graduate students were assigned the task to implement four out of 23 design patterns (pertaining to real world scenarios) in their lab sessions. In this study, a systematic investigation on pairing by contemplating a pair programming scenario from a design pattern perspective has been presented. Results were obtained using JavaNCSS tool by considering software code metrics which indicated that pair programming can be beneficial in a scholastic framework.

Licence and reuse

Open access. This article is licensed under a Creative Commons Attribution 3.0 Licence (CC BY 3.0), as printed on the article, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original authors and the source. No permission is needed.

How to reuse this article

Responses (0)

Have a comment on this research? Sign in to respond. Responses are moderated and published with your name and affiliation; the authors are invited to reply. How we use your dataWrite a response

About this article

Cite this article

Rajagopal, S., Hareesha, K. S. & Kundapur, P. P. (2017). Optimising Pair Programming in a Scholastic Framework: A Design Pattern Perspective. Journal of Computer Science, 13(6), 199–210. https://doi.org/10.3844/jcssp.2017.199.210

Licence
CC BY 3.0
Issue
Volume 13, Issue 6
Policies
Editorial independenceUse of generative AIData availabilityAppeals and complaints
Version
Version of record
Optimising Pair Programming in a Scholastic Framework: A Design Pattern PerspectiveJournal of Computer Science · Volume 13, Issue 6 · pp. 199–210 · CC BY 3.0Download