Guide to the Software Engineering Body of Knowledge (SWEBOK(R)): Version 3.0
By P. Bourque, R. Fairley. 2014
756 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/ece51631d79e2c017471f31767d7c3b62dd45769
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Miltiadis Allamanis
- Earl T. Barr
- Charles Sutton
- Ke Mao
- Yue Jia
- Uri Alon
- Vahid Garousi
- Rafael-Michael Karampatsis
Citations in the corpus
- Guidelines for conducting systematic mapping studies in software engineering: An update (2015, methodology): “RQ2, Topics: With respect to topic areas covered based on the Swebok classification we found a good coverage of the majority of topics.”
- Learning natural coding conventions (2014, background): “%) of their time maintaining code [2, §6].”
- Sapienz: multi-objective automated testing for Android applications (2016, background): “Exploratory testing is “simultaneous learning, test design, and test execution” [11], that can be cost-effective and is widely used by industrial practitioners [21, 43, 46] for testing in general.”
- Guidelines for including the grey literature and conducting multivocal literature reviews in software engineering (2017, methodology): “For MLRs we therefore recommend to perform an informal pre-search to find different synonyms for specific topics as well as to consult bodies of knowledge such as the Software Engineering Body of Knowledge (SWEBOK) [71] for SE in general or, for instance the standard glossary of terms used in softwa”