Cohort Studies in Software Engineering
العنوان: | Cohort Studies in Software Engineering |
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المؤلفون: | Davide Taibi, Natalia Juristo, Valentina Lenarduzzi, Nyyti Saarimäki, Sira Vegas |
المساهمون: | Tampere University, Computing Sciences |
المصدر: | ESEM |
بيانات النشر: | ACM, 2020. |
سنة النشر: | 2020 |
مصطلحات موضوعية: | Computer science, Mechanism (biology), Causal relations, Confounding, 020207 software engineering, 02 engineering and technology, 113 Computer and information sciences, Causality, Data science, Identification (information), Empirical research, 020204 information systems, 0202 electrical engineering, electronic engineering, information engineering, Mining software repositories, Cohort study |
الوصف: | 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. acceptedVersion |
وصف الملف: | fulltext |
URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::df287f1e850f6298aeeff183c7a885cd https://doi.org/10.1145/3382494.3422160 |
حقوق: | OPEN |
رقم الأكسشن: | edsair.doi.dedup.....df287f1e850f6298aeeff183c7a885cd |
قاعدة البيانات: | OpenAIRE |
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