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

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

Regis Anne W., Carolin Jeeva S.
Copyright: © 2022 |Pages: 15
DOI: 10.4018/IJSI.297624
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Abstract

Collaborative programming is a co-operative effort of 2 teams to n-teams to share knowledge, synergize and produce better code. Pairing, Swarming and Mobbing are the standard of agile technology which 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 is presented. The first method uses the Programmers Competency Matrix (PCM) based on Blooms 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 definitely improves the software development process 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.
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The earliest reference to the concept of PP has been referred in the book “Mythical Man-Month” in the mid-1950s.Later in 1970s Dick Gabriel utilized collaborative programming to implement LISP within a short span of nine months. The early term for PP was given by Larry Constantine in the year 1992 as “Dynamic Duo” on a visit to Whitesmiths Inc., In this process two programmers were sharing the terminal and discussing the implementation and switching places. The study on benefits of collaboration was also studied by Wilson et al. (1993) considering student programmers. Later the pattern “Developing in Pairs” in 1995 and “Chrysler goes to Extremes” in 1998 paved the way for extreme programming. The initial reference to the role of Driver and Navigator is controversial and is discussed in Sallyann Bryant's article “Pair programming and the mysterious role of the navigator”. The author (Williams, 2000) investigated the benefits of pair programming using Collaborative Software Process over solo programming using Personal Software Process. Chong & Hurlbutt (2007) investigated the performance of professional pairing over the traditional driver/navigator pair as proposed by Williams et al. (2003). Jari Vanhanen et al. (2013) constructed a novel PP framework including parameters such as, knowledge of work, productivity and quality.

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