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Background: Developer experience should be considered a key factor from the beginning of the use of development platform, but it has not been received much attention in literature. Research Goals: The present study aimed to identify and validate the sub-constructs and item measures in the evaluation of developer experience toward the use of a deep learning platform. Research Methods: A Delphi study as well as a series of statistical methodologies including the assessment of data normality, common method bias, and exploratory and confirmatory factor analysis were utilized to determine the reliability and validity of a measurement model proposed in the present work. Results: The results indicate that the measurement model proposed in this work successfully ensures the nomological validity of the three second-order constructs of cognitive, affective, and behavioral components to explain the second-order construct of developer experience at p &lt; 0.5 Conclusions: The measurement instrument developed from the current work should be used to measure the developer experience during the use of a deep learning platform. Implication: The results of the current work provide important insights into the academia and practitioners for the understanding of developer experience.

Evaluation of the Nomological Validity of Cognitive, Emotional, and Behavioral Factors for the Measurement of Developer Experience