What Leads to a Confirmatory or Disconfirmatory Behavior of Software Testers?

Iflaah Salman*, Pilar Rodriguez, Burak Turhan, Ayse Tosun, Arda Gureller

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

Background: The existing literature in software engineering reports adverse effects of confirmation bias on software testing. Confirmation bias among software testers leads to confirmatory behavior, which is designing or executing relatively more specification consistent test cases (confirmatory behavior) than specification inconsistent test cases (disconfirmatory behavior). Objective: We aim to explore the antecedents to confirmatory and disconfirmatory behavior of software testers. Furthermore, we aim to understand why and how those antecedents lead to (dis)confirmatory behavior. Method: We follow grounded theory method for the analyses of the data collected through semi-structured interviews with twelve software testers. Results: We identified twenty antecedents to (dis)confirmatory behavior, and classified them in nine categories. Experience and Time are the two major categories. Experience is a disconfirmatory category, which also determines which behavior (confirmatory or disconfirmatory) occurs first among software testers, as an effect of other antecedents. Time Pressure is a confirmatory antecedent of the Time category. It also contributes to the confirmatory effects of antecedents of other categories. Conclusion: The disconfirmatory antecedents, especially that belong to the testing process, e.g., test suite reviews by project team members, may help circumvent the deleterious effects of confirmation bias in software testing. If a team's resources permit, the designing and execution of a test suite could be divided among the test team members, as different perspectives of testers may help to detect more errors. The results of our study are based on a single context where dedicated testing teams focus on higher levels of testing. The study's scope does not account for the testing performed by developers. Future work includes exploring other contexts to extend our results.

Original languageEnglish
Pages (from-to)1351-1368
Number of pages18
JournalIEEE Transactions on Software Engineering
Volume48
Issue number4
DOIs
Publication statusPublished - 1 Apr 2022

Bibliographical note

Publisher Copyright:
© 1976-2012 IEEE.

Funding

This study was supported in part by the Infotech Oulu Doctoral Grant at the University of Oulu to Iflaah Salman

FundersFunder number
University of Oulu to Iflaah Salman
Infotech Oulu

    Keywords

    • Software testing
    • cognitive biases
    • confirmation bias
    • grounded theory
    • interviews

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