Evidence-Based Software Engineering and Systematic Literature Reviews

2006 ◽  
pp. 3-3 ◽  
Author(s):  
Barbara Kitchenham
Keyword(s):  
Software Engineering ◽  
Evidence Based ◽  
Literature Reviews

Abstraction: An alternative neurocognitive account of recognition, prediction, and decision making

2020 ◽  
Vol 43 ◽  
Author(s):  
Valerie F. Reyna ◽  
David A. Broniatowski
Keyword(s):  
Decision Making ◽  
Software Engineering ◽  
Systems Engineering ◽  
Evidence Based ◽  
Extensive Literature ◽  
Trace Theory ◽  
Fuzzy Trace Theory ◽  
Abstract Representations ◽  
Technical Systems

Abstract Gilead et al. offer a thoughtful and much-needed treatment of abstraction. However, it fails to build on an extensive literature on abstraction, representational diversity, neurocognition, and psychopathology that provides important constraints and alternative evidence-based conceptions. We draw on conceptions in software engineering, socio-technical systems engineering, and a neurocognitive theory with abstract representations of gist at its core, fuzzy-trace theory.

scholarly journals Health Workforce Development in Health Emergency and Disaster Risk Management: The Need for Evidence-Based Recommendations

2021 ◽  
Vol 18 (7) ◽  
pp. 3382
Author(s):  
Kevin K. C. Hung ◽  
Sonoe Mashino ◽  
Emily Y. Y. Chan ◽  
Makiko K. MacDermot ◽  
Satchit Balsari ◽  
...  
Keyword(s):  
Risk Management ◽  
Risk Reduction ◽  
Case Studies ◽  
Workforce Development ◽  
Health Workforce ◽  
Disaster Risk Reduction ◽  
Disaster Risk ◽  
Disaster Risk Management ◽  
Evidence Based ◽  
Literature Reviews

The Sendai Framework for Disaster Risk Reduction 2015–2030 placed human health at the centre of disaster risk reduction, calling for the global community to enhance local and national health emergency and disaster risk management (Health EDRM). The Health EDRM Framework, published in 2019, describes the functions required for comprehensive disaster risk management across prevention, preparedness, readiness, response, and recovery to improve the resilience and health security of communities, countries, and health systems. Evidence-based Health EDRM workforce development is vital. However, there are still significant gaps in the evidence identifying common competencies for training and education programmes, and the clarification of strategies for workforce retention, motivation, deployment, and coordination. Initiated in June 2020, this project includes literature reviews, case studies, and an expert consensus (modified Delphi) study. Literature reviews in English, Japanese, and Chinese aim to identify research gaps and explore core competencies for Health EDRM workforce training. Thirteen Health EDRM related case studies from six WHO regions will illustrate best practices (and pitfalls) and inform the consensus study. Consensus will be sought from global experts in emergency and disaster medicine, nursing, public health and related disciplines. Recommendations for developing effective health workforce strategies for low- and middle-income countries and high-income countries will then be disseminated.

scholarly journals Global and Latin American female participation in evidence-based software engineering: a systematic mapping study

2021 ◽  
Vol 27 (1) ◽  
Author(s):  
Katia Romero Felizardo ◽  
Amanda Möhring Ramos ◽  
Claudia de O. Melo ◽  
Érica Ferreira de Souza ◽  
Nandamudi L. Vijaykumar ◽  
...  
Keyword(s):  
Software Engineering ◽  
Latin American ◽  
Gender Issue ◽  
Research Area ◽  
Systematic Mapping Study ◽  
Evidence Based ◽  
Mapping Study ◽  
Systematic Mapping ◽  
Participation Of Women ◽  
New Generation

Abstract Context While the digital economy requires a new generation of technology for scientists and practitioners, the software engineering (SE) field faces a gender crisis. SE research is a global enterprise that requires the participation of both genders for the advancement of science and evidence-based practice. However, women across the world tend to be significantly underrepresented in such research, receiving less funding and less participation, frequently, than men as authors in research publications. Data about this phenomenon is still sparse and incomplete; particularly in evidence-based software engineering (EBSE), there are no studies that analyze the participation of women in this research area. Objective The objective of this work is to present the results of a systematic mapping study (SM) conducted to collect and evaluate evidence on female researchers who have contributed to the area of EBSE. Method Our SM was performed by manually searching studies in the major conferences and journals of EBSE. We identified 981 studies and 183 were authored/co-authored by women and, therefore, included. Results Contributions from women in secondary studies have globally increased over the years, but it is still concentrated in European countries. Additionally, collaboration among research groups is still fragile, based on a few women as a bridge. Latin American researchers contribute a great deal to the field, despite they do not collaborate as much within their region. Conclusions The findings from this study are expected to be aggregated to the existing knowledge with respect to women’s contribution to the EBSE area. We expect that our results bring up a reflection on the gender issue and motivate actions and policies to attract female researchers to this area.

A comparison of automated training-by-example selection algorithms for Evidence Based Software Engineering

2018 ◽  
Vol 98 ◽  
pp. 59-73
Author(s):  
Edgar E. Hassler ◽  
David P. Hale ◽  
Joanne E. Hale
Keyword(s):  
Software Engineering ◽  
Evidence Based ◽  
Selection Algorithms

Bayesian Networks For Evidence-Based Decision-Making in Software Engineering

2014 ◽  
Vol 40 (6) ◽  
pp. 533-554 ◽  
Author(s):  
Ayse Tosun Misirli ◽  
Ayse Basar Bener
Keyword(s):  
Decision Making ◽  
Software Engineering ◽  
Bayesian Networks ◽  
Evidence Based ◽  
Evidence Based Decision Making

Analyzing an automotive testing process with evidence-based software engineering

2013 ◽  
Vol 55 (7) ◽  
pp. 1237-1259 ◽  
Author(s):  
Abhinaya Kasoju ◽  
Kai Petersen ◽  
Mika V. Mäntylä
Keyword(s):  
Software Engineering ◽  
Evidence Based

scholarly journals On Using Grey Literature and Google Scholar in Systematic Literature Reviews in Software Engineering

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 36226-36243 ◽  
Author(s):  
Affan Yasin ◽  
Rubia Fatima ◽  
Lijie Wen ◽  
Wasif Afzal ◽  
Muhammad Azhar ◽  
...  
Keyword(s):  
Software Engineering ◽  
Grey Literature ◽  
Google Scholar ◽  
Literature Reviews

scholarly journals Giant cell arteritis and COVID-19: similarities and discriminators, a systematic literature review

2020 ◽  
pp. jrheum.200766 ◽  
Author(s):  
Puja Mehta ◽  
Sebastian E. Sattui ◽  
Kornelis van der Geest ◽  
Elisabeth Brouwer ◽  
Richard Conway ◽  
...  
Keyword(s):  
Platelet Count ◽  
Giant Cell Arteritis ◽  
Giant Cell ◽  
Visual Loss ◽  
Diagnostic Error ◽  
Evidence Based ◽  
Correct Treatment ◽  
Literature Reviews ◽  
Diagnostic Confusion ◽  
Distinct Features

Objective To identify shared and distinct features of giant cell arteritis (GCA) and Coronavirus disease 2019 (COVID-19) to reduce diagnostic error that could cause delays in correct treatment. Methods Two systematic literature reviews determined the frequency of clinical features of GCA and COVID-19 in published reports. Frequencies in each disease were summarised using median and range. Results Headache was common in GCA but was also observed in COVID-19 (66% for GCA, 10% for COVID-19). Jaw claudication or visual loss (43% and 26% in GCA, respectively) were not reported in COVID-19. Both diseases featured fatigue (38% for GCA, 43% for COVID-19) and elevated inflammatory markers (CRP elevated in 100% of GCA, 66% of COVID-19), but platelet count was elevated in 47% of GCA but 4% of COVID-19. Cough and fever were commonly reported in COVID-19 and less frequently in GCA (cough, 63% for COVID-19 versus 12% for GCA; fever, 83% for COVID-19 versus 27% for GCA). Gastrointestinal upset was occasionally reported in COVID-19 (8%), rarely in GCA (4%). Lymphopenia was more common in COVID-19 than GCA (53% in COVID-19, 2% in GCA). Alteration of smell and taste been described in GCA but their frequency is unclear. Conclusion Overlapping features of GCA and COVID-19 include headache, fever, elevated CRP and cough. Jaw claudication, visual loss, platelet count and lymphocyte count may be more discriminatory. Physicians should be aware of the possibility of diagnostic confusion. We have designed a simple checklist to aid evidence-based evaluation of patients with suspected GCA.

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