Software Development Risk Modeling

Author(s):  
Yuriy Hrytsiuk ◽  
Pavlo Grytsyuk ◽  
Tetiana Dyak ◽  
Heorhiy Hrynyk
2018 ◽  
Vol 7 (3.20) ◽  
pp. 76
Author(s):  
Alawiyah Abd Wahab ◽  
Teh Piak San

Software development outsourcing has become a prevalent practice in the software industry. Organizations in both public and private sectors are adopting software development outsourcing in order to achieve lower cost and to access to skilled labour. However, it is widely recognized that outsourced software development projects involve risks and sometimes leads to undesirable consequences. Existing research in the software engineering and related areas have identified several risks in the software development outsourcing projects such as lack of communication and technical skills. The aim of this paper is to examine the literature on outsourced software development in order to identify some risks that could occur during the pre-contract, contract and post-contract phases of the outsourcing life cycle. It is anticipated that by understanding these risks, project managers could better manage them and subsequently increase the possibility of the success of outsourcing project. A systematic literature review of studies on software development outsourcing published in year 2005 to year 2015 was conducted. Of 41 studies consulted, 18 were concerned with outsourcing software development risk factors. The top three risk factors identified are lack of required technical skills and competencies (61%), lack of communication (44%) and poorly articulated requirements (44%).  


1993 ◽  
Vol 10 (2) ◽  
pp. 203-225 ◽  
Author(s):  
Henri Barki ◽  
Suzanne Rivard ◽  
Jean Talbot

2007 ◽  
Vol 80 (4) ◽  
pp. 596-605 ◽  
Author(s):  
Kwan-Sik Na ◽  
James T. Simpson ◽  
Xiaotong Li ◽  
Tushar Singh ◽  
Ki-Yoon Kim

Author(s):  
Ching-Pao Chang

Together with the development and integration of software technologies, an increase in the complexity of the software development environment has made identifying software risks challenging. Identifying software risks, which is a critical activity in project management, is challenging because numerous factors may affect software projects. In this paper, an approach to identify software-risk items is proposed in which data collected from past software projects are mined to construct software-risk models. The prediction models obtained can be used to identify potential software risks for subsequent software projects. The advantage of the proposed approach is that the software-risk models can be constructed at an early stage in software projects to facilitate the planning of methods to mitigate software risks. The proposed approach is applied to a business project to demonstrate how software risk items can be identified.


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