A Reflection on Diversity and Inclusivity Efforts in a Software Engineering Program

Janzen, David S.; Bahrami, Sara; Silva, Bruno C. da; Falessi, Davide

doi:10.1109/fie.2018.8658677

Cited by 9 publications

(3 citation statements)

References 6 publications

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“…As for the different type of observational studies, our preliminary investigation, and two works published in 2018 [12] and 2019 [11] show at least the possibility of applying cohort studies, while we found several similarities with case-control. However, at the moment we are not sure about the applicability of cross-sectional surveys.…”

Section: Threats To Validitysupporting

confidence: 55%

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Methodological Issues in Observational Studies

Saarimäki

2019

SIGSOFT Softw. Eng. Notes

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Background. Starting from the 1960s, practitioners and researchers have looked for ways to empirically investigate new technologies such as inspecting the effectiveness of new methods, tools, or practices. With this purpose, the empirical software engineering domain started to identify different empirical methods, borrowing them from various domains such as medicine, biology, and psychology. Nowadays, a variety of empirical methods are commonly applied in software engineering, ranging from controlled and quasi-controlled experiments to case studies, from systematic literature reviews to the newly introduced multivocal literature reviews. However, to date, the only available method for proving any cause-effect relationship are controlled experiments.Objectives. The goal of the thesis is introducing new methodologies for studying causality in empirical software engineering. Methods. Other fields use observational studies for proving causality. They allow observing the effect of a risk factor and testing this without trying to change who is or is not exposed to it. As an example, with an observational study it is possible to observe the effect of pollution on the growth of a forest or the effect of different factors on development productivity without the need of waiting years for the forest to grow or exposing developers to a specific treatment. Conclusion. In this thesis, we aim at defining a methodology for applying observational studies in empirical software engineering, providing guidelines on how to conduct such studies, how to analyze the data, and how to report the studies themselves.

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Section: Threats To Validitysupporting

confidence: 55%

“…Last year, the first set of observational studies was published, primarily based on cohort methods [11] [12]. However, the two studies applied different methodologies, mainly because of the lack of clear guidelines.…”

Section: Introductionmentioning

confidence: 99%

Methodological Issues in Observational Studies

Saarimäki

2019

SIGSOFT Softw. Eng. Notes

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“…Gender talks [138], [162], [171] and community-building [153], [163], [175] activities help make the entire university environment more gender friendly. Meanwhile, departments can organize mentoring or tutoring for students who need support [152], [177] and preliminary training that ensures all students have an equal knowledge base to start their studies [133], [138], [163] as well as provide opportunities to attain practical experience through internships, industry visits, and case studies [146], [150], [172], [177]. These initiatives help women feel confident and increase their sense of belonging, and educators may improve their learning materials to increase female interest in the subjects.…”

Section: Discussionmentioning

confidence: 99%

State-of-the-Art Review on Current Approaches to Female Inclusiveness in Software Engineering and Computer Science in Higher Education

Kovaleva,

Kasurinen,

Kindsiko

et al. 2024

IEEE Access

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Software engineering (SE) and computer science (CS) programs in universities worldwide are marked by a gender gap, which subsequently translates into a gender gap at the industry level. However, there are positive activities that can help attract more women to these male-dominant professions. This study maps the literature related to the achievement of gender balance in SE and CS university-level education and identifies future research directions. More specifically, this article reports on a systematic mapping study of female-inclusive SE and CS tertiary education programs. The authors collected 882 publications between 2015 and 2022 from five databases (ACM, IEEE, Scopus, Web of Science, and Science Direct), selecting 143 peer-reviewed papers for further analysis. The results showed that the main academic contributors were researchers from the USA. The majority of the publications contained observations and explanations regarding the gender gap in computing education. However, an important part of the literature considered proposals and practical activities for achieving gender balance in SE and CS programs. Finally, the authors classified the literature related to female-inclusive SE and CS tertiary education programs, identified the main research focuses and regional distribution, and considered ideas for future research.

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