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

@article{Munir2014ConsideringRA,
  title={Considering rigor and relevance when evaluating test driven development: A systematic review},
  author={Hussan Munir and Misagh Moayyed and Kai Petersen},
  journal={Inf. Softw. Technol.},
  year={2014},
  volume={56},
  pages={375-394}
}

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References

SHOWING 1-10 OF 92 REFERENCES

The Effects of Test-Driven Development on External Quality and Productivity: A Meta-Analysis

The results indicate that, in general, TDD has a small positive effect on quality but little to no discernible effect on productivity.

A method for evaluating rigor and industrial relevance of technology evaluations

The model is applied and validated in a comprehensive systematic literature review of evaluations of requirements engineering technologies published in software engineering journals and shows that the model can be applied to characterize evaluations in requirements engineering.

Mapping study completeness and reliability - a case study

This study used the results of a systematic mapping study to investigate how well mapping studies identify clusters of related studies and to what extent such clusters are complete.

Factors Limiting Industrial Adoption of Test Driven Development: A Systematic Review

A systematic literature review on empirical studies explicitly focusing on TDD as well as indirectly addressing TDD identified seven limiting factors viz., increased development time, insufficient TDD experience/knowledge, lack of upfront design, domain and tool specific issues, and legacy code.

Does Test-Driven Development Improve the Program Code? Alarming Results from a Comparative Case Study

A comparative case study of five small scale software development projects where the effect of TDD on program design was studied using both traditional and package level metrics reveals that an unwanted side effect can be that some parts of the code may deteriorate.

A prototype empirical evaluation of test driven development

An experiment was devised to investigate the distinction between test-driven development and traditional, test-last development from the perspective of developer productivity and software quality and indicates that while there is little or no difference in developer productivity in the two processes, there are differences in the frequency of unplanned test failures.
...