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

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 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

Toward Evidence-Based Software Engineering: Lessons Learned in Healthcare Application Development

IEEE Software ◽  
2017 ◽  
Vol 34 (5) ◽  
pp. 67-71 ◽  
Author(s):  
Artur Nowak ◽  
Holger J. Schunemann
Keyword(s):  
Software Engineering ◽  
Lessons Learned ◽  
Evidence Based ◽  
Application Development ◽  
Healthcare Application

Realising evidence-based software engineering (REBSE-2) a report from the workshop held at ICSE 2007

2007 ◽  
Vol 32 (4) ◽  
pp. 36-39
Author(s):  
David Budgen ◽  
Pearl Brereton
Keyword(s):  
Software Engineering ◽  
Evidence Based
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