EXPERIMENTAL MODELS FOR VALIDATING COMPUTER TECHNOLOGY
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Summary
An evaluation of over 600 papers published from 1985 through 1995 shows that the 12 methods can be effectively applied to research papers, and some observations of how well the research community validates its claims in these papers are provided.
- Type
- article
- Published
- 2001-01-01
- Cited by
- 45
- References
- 13
- OpenAlex
- https://openalex.org/W1518416466
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:10291760
Keywords
Computer science, Taxonomy (biology), Management science, Data science, Artificial intelligence
References
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- Software Engineering Practices in the US and Japan
- Experimental validation in software engineering
- The TAME Project: Towards Improvement-Oriented Software Environments
- Combining Information: Statistical Issues and Opportunities for Research
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- Validating cohesion metrics by mining open source software data with association rules
- Domain-Oriented Reuse Interfaces for Object-Oriented Frameworks
- Systematic literature reviews in software engineering
- Panel: empirical validation: what, why, when, and how
- User studies of knowledge acquisition tools: methodology and lessons learned
- Technology adoption: breaking down barriers using a virtual reality design support tool for hybrid concrete
- Introduction to special section on Evaluation and Assessment in Software Engineering EASE06
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- An Economic and Cultural Commentary
- Systematic literature reviews in software engineering - A systematic literature review
- Empirical study design in the area of high-performance computing (HPC)
- Understanding the impact of assumptions on experimental validity
- Transliteration of online handwritten phonetic Pitman's shorthand with the use of a Bayesian network
- Acquiring Problem-Solving Knowledge from End Users: Putting Interdependency Models to the Test
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