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Area of Science:

  • Psychology of Software Engineering
  • Cognitive Science in Software Development

Background:

  • Software development involves complex social, cognitive, and technical skills.
  • Engineers encounter significant uncertainty and risk in decision-making, particularly concerning functionality and security.

Purpose of the Study:

  • To investigate cognitive reflection, risk aversion, and optimism bias in software developers.
  • To explore the relationship between uncertainty-related language and risk sensitivity in secure software development.

Main Methods:

  • Content analysis and mixed-effect modeling were used.
  • Behavioral measures of cognitive reflection, risk aversion, and optimism bias were analyzed.
  • Participants included professional freelance software developers and computer science students.

Main Results:

  • An interaction was found between cognitive reflection and optimism bias regarding uncertainty language.
  • High optimism and high cognitive reflection increased uncertainty expressions.
  • Pessimistic/realistic individuals decreased uncertainty with increased cognitive reflection.

Conclusions:

  • Language used by engineers can serve as an indicator of risk aversion.
  • Promoting discourse may enhance cognitive reflection and temper optimism, leading to safer decisions.
  • Understanding psychological dimensions is key to improving risk sensitivity in secure software development.