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Collaborative programming is a cooperative effort of two teams to n-teams to share knowledge, synergize, and produce better code. Pairing, swarming, and mobbing are the standards of agile technology that are adapted by many organizations. In this paper, software development is carried out using pair programming (PP) in a medium-sized organization developing mobile applications using Android. The first method uses the programmer competency matrix (PCM) based on Bloom’s taxonomy to assess the skill of the programmers. Since the pairs are chosen randomly in the PCM method, a novel algorithm is proposed to pair the programmers by programmer ranking algorithm (PRA). The two proposed methods are evaluated in an organization and the results are validated. The results prove that PP improves the software development process more than when it is developed by individual programmers. The PRA methodology outperforms the PCM because the PRA chooses the pair wisely using the programming skills of the programmer.

Empirical Analysis of Pair Programming Using Bloom’s Taxonomy and Programmer Rankers Algorithm to Improve the Software Metrics in Agile Development