earticle

영어

‘Agile’ is drawing our attention as a new trend of software development methodology. With Agile methodology, developers can flexibly respond to changes in order to manage uncertainty and complexity of IT projects. Recent case studies are showing that international enterprises have adopted Agile methodology in order to improve work performance such as productivity and quality. Although further empirical researches as to what factors can improve performance have not been progressed yet, previous studies emphasized the developers’ motivation played an important role in producing good outputs in software development. Agile methodology is also known to be adequate to enhance both motivation and work performance of developers because the human factor is considered being an important component in it. In this paper, we empirically analyzed by Multiple Regression the effects of various practices, which are essential for conducting Agile methodology, on the Motivating Potential Score(i.e. MPS) and on the work performance in development jobs. We first examined the Agile practices that are widely used for Agile developers in Korea, and divided them into management practices and development practices. As a result, it appeared that Agile practices exerted influences on the MPS of developers. While the MPS had positive effects on the work performance such as the development productivity and the system quality, it did not affect the project duration significantly. In our research, we will discuss practical significance based on such empirical results.