All Outputs (3)

The Importance of the Correlation in Crossover Experiments (2022)
Journal Article
Kitchenham, B., Madeyski, L., Scanniello, G., & Gravino, C. (2022). The Importance of the Correlation in Crossover Experiments. IEEE Transactions on Software Engineering, 48(8), 2802 - 2813. https://doi.org/10.1109/tse.2021.3070480

Context: In empirical software engineering, crossover designs are popular for experiments comparing software engineering techniques that must be undertaken by human participants. However, their value depends on the correlation ( r ) between the outco... Read More about The Importance of the Correlation in Crossover Experiments.

A longitudinal case study on the effects of an evidence-based software engineering training (2022)
Conference Proceeding
Pizard, S., Vallespir, D., & Kitchenham, B. (2022). A longitudinal case study on the effects of an evidence-based software engineering training. . https://doi.org/10.1145/3510456.3514150

Context: Evidence-based software engineering (EBSE) can be an effective resource to bridge the gap between academia and industry by balancing research of practical relevance and academic rigor. To achieve this, it seems necessary to investigate EBSE... Read More about A longitudinal case study on the effects of an evidence-based software engineering training.

SEGRESS: Software Engineering Guidelines for REporting Secondary Studies (2022)
Journal Article
Kitchenham, B., Madeyski, L., & Budgen, D. (in press). SEGRESS: Software Engineering Guidelines for REporting Secondary Studies. IEEE Transactions on Software Engineering, 49(3), 1273-1298. https://doi.org/10.1109/tse.2022.3174092