Context in industrial software engineering research
By Kai Petersen, Claes Wohlin. International Symposium on Empirical Software Engineering and Measurement, 2009
296 citations recorded by the source corpus.
Subfields: Computer Science Applications, Information Systems
View Paper: https://www.semanticscholar.org/paper/eece42f4d4bb7143643baa66cf6132b1c9e4915d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Science Applications
- Samireh Jalali
- Per Runeson
- Tracy Hall
- David Bowes
- Martin J. Shepperd
- Tony Gorschek
- Michael Unterkalmsteiner
- Robert Feldt
In Information Systems
- Mika V. Mäntylä
- Claes Wohlin
- Martin Höst
- Per Runeson
- Martin J. Shepperd
- Tracy Hall
- David Bowes
- Tony Gorschek
Citations in the corpus
- Evaluation and Measurement of Software Process Improvement—A Systematic Literature Review (2012, background): “They were however included in the review as they provided data points relevant to the other research questions.”
- The situational factors that affect the software development process: Towards a comprehensive reference framework (2012, background): “the “factors that characterize a project and its environment” [61] and there have been a number of contributions in this area [61-64].”
- A Systematic Literature Review on Fault Prediction Performance in Software Engineering (2012, unknown): “The contextual criteria we applied are shown in Table 5 and are adapted from the context checklist developed by Petersen and Wohlin [7].”
- A method for evaluating rigor and industrial relevance of technology evaluations (2011, background): “A detailed classification would also lead to few (if any) papers being classified at the highest level (containing all aspects) ( Petersen and Wohlin 2009 ).”
- Researcher Bias: The Use of Machine Learning in Software Defect Prediction (2014, methodology): “These criteria are based on the context reporting standards recommended by Petersen and Wohlin [29] and on best practice reported in the defect prediction literature (e.g. [6]).”
- Guidelines for including the grey literature and conducting multivocal literature reviews in software engineering (2017, background): “Furthermore, similar to many other SE problems, context truly matters in this problem domain [75, 76], i.”
- Experimentation in Software Engineering (2012, background): “The separation between case studies and experiment can be represented by the level of control of the context [132].”
- Systematic literature studies: Database searches vs. backward snowballing (2012, methodology): “Thus, we recommend practitioners and researchers working with industry to follow guidelines provided by Petersen and Wohlin [17] for documenting the contextual information.”