Agile software development project evaluation using the partial least squares–structural equation modelling (PLS–SEM) approach in view of critical success indicators

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Senay Demirel
Harun Caliskan
Dilek Karahoca
Adem Karahoca

Abstract

In this study, the Agile software development process is analysed by means of success and failure criteria, and their effects are determined using the partial least squares – structural equation modelling methodology. The study identifies criticial success factors in Agile software development methodology and specifically focuses on indicators to conclude their significance of relationship and impact, so that the possible results are determined, predicted and exterminated in advance. The literature search determined the success indicators of agile projects in a mul ti-dimensional view of factors. Each factor was classified into sub-factors and indicators which helped to obtain a multi-dimensional view of the factors that made them more viable. The answers of the participants were mapped to the detailed criteria and applied to the model developed. The results which showed the effects of each sub-criteria mapped to one of the main criteria of the Agile software development process were determined and evaluated.


 


Keywords: Critical success factors, success criteria, agile software development process, partial least squares – structural
equation modeling, success indicator, failure indicator.

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How to Cite
Demirel, S., Caliskan, H., Karahoca, D., & Karahoca, A. (2017). Agile software development project evaluation using the partial least squares–structural equation modelling (PLS–SEM) approach in view of critical success indicators. Global Journal of Information Technology: Emerging Technologies, 7(3), 99–115. https://doi.org/10.18844/gjit.v7i3.2832
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