Effectiveness of Software Development Process Using Programmer Ranker Algorithm in Pair Programming

TL;DR: Time productivity in pair programming is measured in two important ways: One is elapsed time to complete the task and the other is the total eff ort/time of the programmers completing the task.

Abstract: Pair programming is a style of programming in which two programmers work side-by-side at one computer, continuously collaborating on the same de sign, algorithm, code, or test. In industry, the pr actice of pair programming has been shown to improve product quality, improve team spirit, aid in knowledge management, and reduce product risk. In software industry, pair pro gramming also improves associate’s morale, helps associates to be more successful, and improves associates retention in an information technology major. Project efficie ncy of pairs in program design and implementation tasks is identifi ed by using pair programming concept. Pair programming involves two developers simultaneously collaboratin g with each other on the same programming task to d esign and code a solution. Programming aptitude tests (PATs) have been shown to correlate with programming performance. In this paper we will measure time productivity usi ng pair programming, in two important ways: One is elapsed time to complete the task and the other is the total eff ort/time of the programmers completing the task. Us ing Programmer Ranker Algorithm (PRA) we will generate pair and Rank will be provided to each pair of Junior, Senior of industry. After providing rank the best pair can be allocated to Embedded Software project type, Semi detached Software project type and Organic Software project type resp ectively.