To enhance Effectiveness of Crowdsource Software Testing by applying Personality Types

Abstract

Crowdsource testing is an evolving trend in software testing, which incorporate benefits of crowd sourcing in software testing. Testers used to perform testing at various places and they are given the tasks involving different types of techniques through open call format. It means software is tested under multiple testers using different platforms, which makes it more reliable and error free. Appropriate task selection in a crowdsourced testing from a large number of tasks required different types of testing that is a complex job for the testers in crowd testing environment. In addition, platform has to involve in an arduous work to evaluate a lot of testing tasks submitted by testers involved in a crowd sourcing environment. Assigning task require testing technique that is improper for a crowdsourced tester does not only reduce the software product's quality, but also overload the platform which assign task to the testers. The core purpose of this paper is to make crowdsourced testing more efficient by finding what personality types are suitable for which type of testing techniques used in crowd sourcing environment. Moreover, this research has conducted a practical experiment to realize which personality type is more suitable for which type of testing in a crowd sourced environment. In total 92 students from Mehran university of engineering and technology has participated in this research. The Myers-Briggs type indicator was used to measure the personality types of students.