Cognitive biases in software engineering: a systematic mapping study

Rahul Mohanani, Iflaah Salman, Burak Turhan, Pilar Rodriguez, Paul Ralph

Research output: Contribution to journalArticleResearchpeer-review

6 Citations (Scopus)

Abstract

One source of software project challenges and failures is the systematic errors introduced by human cognitive biases. Although extensively explored in cognitive psychology, investigations concerning cognitive biases have only recently gained popularity in software engineering research. This paper therefore systematically maps, aggregates and synthesizes the literature on cognitive biases in software engineering to generate a comprehensive body of knowledge, understand state of the art research and provide guidelines for future research and practise. Focusing on bias antecedents, effects and mitigation techniques, we identified 65 articles (published between 1990 and 2016), which investigate 37 cognitive biases. Despite strong and increasing interest, the results reveal a scarcity of research on mitigation techniques and poor theoretical foundations in understanding and interpreting cognitive biases. Although bias-related research has generated many new insights in the software engineering community, specific bias mitigation techniques are still needed for software professionals to overcome the deleterious effects of cognitive biases on their work.

Original languageEnglish
Number of pages20
JournalIEEE Transactions on Software Engineering
DOIs
Publication statusAccepted/In press - 1 Jan 2019

Keywords

  • Antecedents of cognitive bias
  • cognitive bias
  • debiasing
  • effects of cognitive bias
  • software engineering
  • systematic mapping

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