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Topic Area: Software Testing Metrics

Displaying records 21 to 30 of 102 records.
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21. Practical Combinatorial Testing
Series: Special Publication (NIST SP)
Report Number: 800-142
Topic: Software Testing Metrics
Published: 10/7/2010
Authors: David R Kuhn, Raghu N Kacker, Yu Lei
Abstract: Combinatorial testing can help detect problems like this early in the testing life cycle. The key insight underlying t-way combinatorial testing is that not every parameter contributes to every fault and most faults are caused by interactions between ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=906255

22. A Risk-Uncertainty Formula Accounting for Uncertainties of Failure Probability and Consequence in a Nuclear Powerplant
Topic: Software Testing Metrics
Published: 7/20/2010
Authors: Jeffrey T Fong, Stephen R Gosselin, Pedro Vincente Marcal, James J Filliben, Nathanael A Heckert, Robert E Chapman
Abstract: This paper is a continuation of a recent ASME Conference paper entitled "Design of a Python-Based Plug-in for Bench-marking Probabilistic Fracture Mechanics Computer Codes with Failure Event Data" (PVP2009-77974). In that paper, which was co-authore ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=905670

23. Findings of the 2010 Joint Workshop on Statistical Machine Translation and Metrics for Machine Translation
Topic: Software Testing Metrics
Published: 7/20/2010
Authors: Chris Callison-Burch, Philipp Koehn, Christof Monz, Kay Peterson, Mark A. Przybocki, Omar F. Zaidan
Abstract: This paper presents the results of the WMT10 and MetricsMATR10 shared tasks, which included a translation task, a system combination task, and an evaluation task. We conducted a large-scale manual evaluation of 104 machine translation systems and 4 ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=906756

24. The NIST 2008 Metrics for Machine Translation Challenge - Overview, Methodology, Metrics, and Results
Topic: Software Testing Metrics
Published: 3/10/2010
Authors: Mark A. Przybocki, Kay Peterson, P. Sebastien Bronsart, Gregory A Sanders
Abstract: This paper discusses the evaluation of automated metrics developed for the purpose of evaluating machine translation (MT) technology. A general discussion of the usefulness of automated metrics is offered. The NIST MetricsMATR evaluation of MT metr ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=903840

25. Software Assurance Using Structured Assurance Case Models
Series: NIST Interagency/Internal Report (NISTIR)
Report Number: 7608
Topic: Software Testing Metrics
Published: 5/1/2009
Authors: Thomas R. Rhodes, Frederick E Boland Jr, Elizabeth Nee nee Fong, Michael J Kass
Abstract: Software assurance is an important part of the software development process to reduce risks and ensure that the software is dependable and trustworthy. Software defects and weaknesses can often lead to software errors and failures and to exploitatio ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=902688

26. Directions in Security Metrics Research
Series: NIST Interagency/Internal Report (NISTIR)
Report Number: 7564
Topic: Software Testing Metrics
Published: 4/30/2009
Author: Wayne Jansen
Abstract: More than 100 years ago, Lord Kelvin insightfully observed that measurement is vital to deep knowledge and understanding in physical science. During the last few decades, researchers have made various attempts to develop measures and systems of measu ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=902180

27. Cyber Security Metrics and Measures
Topic: Software Testing Metrics
Published: 3/2/2009
Authors: Paul E Black, Karen Ann Scarfone, Murugiah P Souppaya
Abstract: Metrics are tools to facilitate decision making and improve performance and accountability. Measures are quantifiable, observable, and objective data supporting metrics. Operators can use metrics to apply corrective actions and improve performance. R ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=51292

28. Static Analyzers in Software Engineering
Topic: Software Testing Metrics
Published: 3/2/2009
Author: Paul E Black
Abstract: Static analyzers can report possible problems in code and help reinforce good practices of developers. We contrast the strengths of static analyzers with testing and indicate the current state of the art.
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=901506

29. Proceedings of the Static Analysis Workshop (SAW 2008)
Topic: Software Testing Metrics
Published: 6/12/2008
Authors: Paul E Black, Elizabeth Nee nee Fong
Abstract: Static Analysis Workshop (SAW 2008) was held on June 12, 2008 in Tucson, Arizona and was co-located with ACM SIGPLAN 2008 Conference on Programming Language Design and Implementation (PLDI 2008). This workshop followed Static Analysis Summit, held ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=890004

30. Automated Combinatorial Test Methods Beyond Pairwise Testing
Topic: Software Testing Metrics
Published: 6/2/2008
Authors: David R Kuhn, Raghu N Kacker, Yu Lei
Abstract: Pairwise testing has become a popular approach to software quality assurance because it often provides effective error detection at low cost. However, pairwise (2-way) coverage is not sufficient for assurance of mission-critical software. Combinatori ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=152162



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