Thitima ChristiansenPongpisit WuttidittachottiSomchai PrakancharoenSakda Arj ong VallipakornKing Mongkut's University of Technology North BangkokMahidol University2018-11-232018-11-232015-01-01ARPN Journal of Engineering and Applied Sciences. Vol.10, No.3 (2015), 1324-1331181966082-s2.0-84923845642https://repository.li.mahidol.ac.th/handle/20.500.14594/35969© 2006-2015 Asian Research Publishing Network (ARPN). This research aimed to predict the risks in software development projects by applying multiple logistic regression. The logistic regression was used as a tool to control the software development process. These consisted of the risk stratification and causal risk factors analyses. This statistical integration was intended to establish the risk factors, anticipated and minimized the risk, which can occur during processes of software development. The factor analysis incorporated with logistic regression was used to predict the risk classification probability of failure or success of software development. The logistic regression analyses can grade and help to point out the risk factors, which were important problems in development processes. These analytical results can lead to create and development of strategies and highlighted problems, which are important issues to manage, control and reduce the risks of error. The result from classification of questionnaires of software development risk analyses by SPSS program had overall prediction accuracy at 90%.Mahidol UniversityEngineeringArticleSCOPUS