The design and implementation of an innovative online program for a master of science degree in Computer Science &amp;#x2014; Software Engineering specialization

White, Laura; Coffey, John W.

doi:10.1109/cseet.2011.5876095

2011 24th IEEE-CS Conference on Software Engineering Education and Training (CSEE&T) 2011

DOI: 10.1109/cseet.2011.5876095

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The design and implementation of an innovative online program for a master of science degree in Computer Science — Software Engineering specialization

Laura White

John W. Coffey

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2020

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Cohort Studies in Software Engineering

Saarimäki

Lenarduzzi

Vegas

et al. 2020

Proceedings of the 14th ACM / IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM)

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Background. Most Mining Software Repositories (MSR) studies cannot obtain causal relations because they are not controlled experiments. The use of cohort studies as defined in epidemiology could help to overcome this shortcoming. Objective. Propose the adoption of cohort studies in MSR research in particular and empirical Software Engineering (SE) in general. Method. We run a preliminary literature review to show the current state of the practice of cohort studies in SE. We explore how cohort studies overcome the issues that prevent the identification of causality in this type of non-experimental designs. Results. The basic mechanism used by cohort studies to try to obtain causality consists of controlling potentially confounding variables. This is articulated by means of different techniques. Conclusion. Cohort studies seem to be a promising approach to be used in MSR in particular and SE in general.

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Cohort Studies in Software Engineering

Saarimäki

Lenarduzzi

Vegas

et al. 2020

Proceedings of the 14th ACM / IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM)

View full text Add to dashboard Cite

show abstract

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The design and implementation of an innovative online program for a master of science degree in Computer Science — Software Engineering specialization

Cited by 1 publication

References 10 publications

Cohort Studies in Software Engineering

Cohort Studies in Software Engineering

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