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Results from a Replicated Experiment on the Affective Reactions of Novice Developers When Applying Test-Driven Development

  • Lecture notes in business information processing
  • Springer Science+Business Media
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Abstract

Test-Driven Development (TDD) is an incremental approach to software development. Despite it is claimed to improve both quality of software and developers’ productivity, the research on the claimed effects of TDD has so far shown inconclusive results. Some researchers have ascribed these inconclusive results to the negative affective states that TDD would provoke. A previous (baseline) experiment has, therefore, studied the affective reactions of (novice) developers—i.e., 29 third-year undergraduates in Computer Science (CS)—when practicing TDD to implement software. To validate the results of the baseline experiment, we conducted a replicated experiment that studies the affective reactions of novice developers when applying TDD to develop software. Developers in the treatment group carried out a development task using TDD, while those in the control group used a non-TDD approach. To measure the affective reactions of developers, we used the Self-Assessment Manikin instrument complemented with a liking dimension. The most important differences between the baseline and replicated experiments are: (i) the kind of novice developers involved in the experiments—third-year vs. second-year undergraduates in CS from two different universities; and (ii) their number—29 vs. 59. The results of the replicated experiment do not show any difference in the affective reactions of novice developers. Instead, the results of the baseline experiment suggest that developers seem to like TDD less as compared to a non-TDD approach and that developers following TDD seem to like implementing code less than the other developers, while testing code seems to make them less happy.

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Publication details

DOI
10.1007/978-3-030-49392-9_15
OpenAlex
W3016940949
Document type
conference-paper
Language
EN
Source
Lecture notes in business information processing
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