Cognitive Biases in Software Engineering: A Systematic Mapping Study

dc.contributor.authorRahul Mohanani
dc.contributor.authorIflaah Salman
dc.contributor.authorBurak Turhan
dc.contributor.authorPilar Rodriguez
dc.contributor.authorPaul Ralph
dc.date.accessioned2025-12-23T21:47:21Z
dc.date.issued2017-07-12
dc.description.abstractOne 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 (SE) 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, which investigate 37 cognitive biases, published between 1990 and 2016. 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.
dc.identifier10.1109/TSE.2018.2877759
dc.identifier.other1707.03869v3
dc.identifier.urihttps://ir-nmu.dspace.org.ng/handle/123456789/7
dc.language.isoen
dc.sourceIEEE Transactions on Software Engineering, 46(12), 1318-1339 (2018)
dc.subjectcs.SE
dc.titleCognitive Biases in Software Engineering: A Systematic Mapping Study
dc.typeArticle

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