Considering rigor and relevance when evaluating test driven development: A systematic review

  • Authors:

  • Hussan Munir;Misagh Moayyed;Kai Petersen

  • Affiliations:

  • -;-;-

  • Venue:
  • Information and Software Technology
  • Year:
  • 2014

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Abstract

Context: Test driven development (TDD) has been extensively researched and compared to traditional approaches (test last development, TLD). Existing literature reviews show varying results for TDD. Objective: This study investigates how the conclusions of existing literature reviews change when taking two study quality dimension into account, namely rigor and relevance. Method: In this study a systematic literature review has been conducted and the results of the identified primary studies have been analyzed with respect to rigor and relevance scores using the assessment rubric proposed by Ivarsson and Gorschek 2011. Rigor and relevance are rated on a scale, which is explained in this paper. Four categories of studies were defined based on high/low rigor and relevance. Results: We found that studies in the four categories come to different conclusions. In particular, studies with a high rigor and relevance scores show clear results for improvement in external quality, which seem to come with a loss of productivity. At the same time high rigor and relevance studies only investigate a small set of variables. Other categories contain many studies showing no difference, hence biasing the results negatively for the overall set of primary studies. Given the classification differences to previous literature reviews could be highlighted. Conclusion: Strong indications are obtained that external quality is positively influenced, which has to be further substantiated by industry experiments and longitudinal case studies. Future studies in the high rigor and relevance category would contribute largely by focusing on a wider set of outcome variables (e.g. internal code quality). We also conclude that considering rigor and relevance in TDD evaluation is important given the differences in results between categories and in comparison to previous reviews.