On Cognitive Biases in Requirements Elicitation

Andrzej Zalewski , Klara Borowa , Damian Kowalski


The purpose of this paper was to identify the cognitive biases most frequently affecting requirements elicitation, as well as to identify how these biases may influence the requirements elicitation and its outcomes. The research was based on an analysis of forty-one student reports prepared during software engineering classes. The analysis was performed using an adaptation of the Angoff Method, which is very popular in the area of psychological research. It demonstrated that, out of the eight analyzed cognitive biases, representativeness, anchoring and confirmation bias most frequently influence the requirements elicitation, while pro-innovation bias, the bandwagon effect and the IKEA effect are the least likely to occur. The research also revealed that cognitive biases may distort the identified requirements in many ways.

Author Andrzej Zalewski (FEIT / AK)
Andrzej Zalewski,,
- The Institute of Control and Computation Engineering
, Klara Borowa (FEIT / AK)
Klara Borowa,,
- The Institute of Control and Computation Engineering
, Damian Kowalski (FEIT / AK)
Damian Kowalski,,
- The Institute of Control and Computation Engineering
Publication size in sheets0.6
Book Jarzabek Stan, Poniszewska-Marańda Aneta, Madeyski Lech (eds.): Integrating Research and Practice in Software Engineering, Studies in Computational Intelligence, vol. 851, 2020, Springer, ISBN 978-3-030-26573-1, [978-3-030-26574-8], 258 p., DOI:10.1007/978-3-030-26574-8
ASJC Classification1702 Artificial Intelligence
URL https://link.springer.com/chapter/10.1007%2F978-3-030-26574-8_9
Languageen angielski
Score (nominal)20
Score sourcepublisherList
ScoreMinisterial score = 20.0, 05-02-2020, ChapterFromConference
Publication indicators Scopus Citations = 0; Scopus SNIP (Source Normalised Impact per Paper): 2018 = 0.447
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