The Impact of Static and Dynamic Pairs on Pair Programming

Abstract

Pair programming is a programming technique in which pair of people doing programming on a single machine. The programming pair consists of a driver and a navigator or observer. The driver addresses the operational issues; i.e., responsible for implementing the current module in hand. The navigator addresses the strategic issues; i.e., keeps in mind the strategic direction the code must take. Pair programming is a dynamic process and pairing aids the rapid dispersal of system knowledge through the team while developing it. Since most of the pair programming experiments were not conducted as described in extreme programming and the empirical evidence of pair programming is mixed we were not got the true picture about the impact created by pair programming on software development. In this paper, we evaluated the dynamic pair programming methodology with static pair programming and traditional individual programming. The empirical evidence shows that static pair programming is the most expensive and slower technology than dynamic pair programming and individual programming technologies. It also indicates that dynamic pair programming is the fastest software development methodology than static pair programming and traditional individual programming methodologies.