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Paper Type
ERF
Abstract
The social properties of software development teams directly affect their collective security efficacy, defined as their ability to form a socially held, shared perspective of behaviors within the team that promote and perpetuate secure code development. Team members construct a socially held representation of their development goals and artifacts. They do this through communication, shaping this socially held representation through verbal and written interactions. Based on the research of the Social Disorganization Theory (SDT)-inspired collective security efficacy phenomenon, it appears teams with a strong set of social and ecological properties will be more effective in developing secure software codes. It also seems as though a latent semantic analysis of development team communications could be used to develop a real-time rating of a team’s social properties, alerting them and their managers to lapses in the team’s social fabric that could lead to faulty software.
Recommended Citation
Singh, Tripti and Johnston, Allen, "Security in the Software Development Process: Role of Human Factors" (2020). AMCIS 2020 Proceedings. 22.
https://aisel.aisnet.org/amcis2020/info_security_privacy/info_security_privacy/22
Security in the Software Development Process: Role of Human Factors
The social properties of software development teams directly affect their collective security efficacy, defined as their ability to form a socially held, shared perspective of behaviors within the team that promote and perpetuate secure code development. Team members construct a socially held representation of their development goals and artifacts. They do this through communication, shaping this socially held representation through verbal and written interactions. Based on the research of the Social Disorganization Theory (SDT)-inspired collective security efficacy phenomenon, it appears teams with a strong set of social and ecological properties will be more effective in developing secure software codes. It also seems as though a latent semantic analysis of development team communications could be used to develop a real-time rating of a team’s social properties, alerting them and their managers to lapses in the team’s social fabric that could lead to faulty software.
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