Factor-Covering Designs for Testing Software

Factor-Covering Designs for Testing Software

Testing is a critical component of modern software development. The problem of designing a suite of test cases is superficially similar to that of designing an experiment to estimate main effects and interactions, but there are crucial differences. Additive models are unhelpful, and classical design...

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Veröffentlicht in:Technometrics 1998-08, Vol.40 (3), p.234-243
Hauptverfasser: Dalal, Siddhartha R., Mallows, Colin L.
Format: Artikel
Sprache:eng
Schlagworte:
Applied sciences
Computer science
control theory
systems
Computer software
Computer systems performance. Reliability
Design
Design efficiency
Equivalence partitioning
Exact sciences and technology
Experiment design
Factorial design
Interoperability
Orthogonal arrays
Random balance
Screening tests
Software
Software engineering
Supersaturated designs
Telecommunications systems
Wind velocity
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Beschreibung
Zusammenfassung:Testing is a critical component of modern software development. The problem of designing a suite of test cases is superficially similar to that of designing an experiment to estimate main effects and interactions, but there are crucial differences. Additive models are unhelpful, and classical design criteria are also. We propose a new class of models and new measures of effectiveness. We compare several designs.
ISSN:0040-1706
1537-2723
DOI:10.1080/00401706.1998.10485524