A method for evaluating rigor and industrial relevance of technology evaluations
By Martin Ivarsson, Tony Gorschek. Empirical Software Engineering, 2011
318 citations recorded by the source corpus.
Subfields: Computer Science Applications, Information Systems
View Paper: https://www.semanticscholar.org/paper/d34e379b0c60d5ab0bfee44ff1c7edfa4bac9ec4
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
- Tony Gorschek
- Michael Unterkalmsteiner
- Nicolò Paternoster
- Pekka Abrahamsson
- Carmine Giardino
- Claes Wohlin
In Information Systems
- Claes Wohlin
- Samireh Jalali
- Tony Gorschek
- Silverio Martínez-Fernández
- Anna Maria Vollmer
- Xavier Franch
- Julien Siebert
- Marc Oriol
Citations in the corpus
- Software development in startup companies: A systematic mapping study (2014, methodology): “Weuse a systematic and validated model [51] to evaluate the scientific rigor and the industrial relevance of each primary study.”
- Systematic literature studies: Database searches vs. backward snowballing (2012, background): “It should be noted that a general problem with systematic literature reviews in software engineering is that in many cases existing papers are hard to classify and analyze since in many of the published studies, the contextual information is not well documented or the studies are not conducted in a ”
- Software Engineering for AI-Based Systems: A Survey (2021, methodology): “More precisely, we applied Ivarsson and Gorscheck’s rigor and relevance quality assessment model [91] for the quality appraisal, and we used the knowledge areas listed in the SWEBOK v3.”