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  1. 'Proceedings Science and Engineering for Software Development: A Recognition of Harlan D. Mills'' Legacy.'
  2. Proceedings. Science and Engineering for Software Development: A Recognition of Harlin D. Mills Legacy (Cat. No. PR00010)
  3. Application of statistical science to testing and evaluating software intensive systems
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Proceedings. Science and Engineering for Software Development: A Recognition of Harlin D. Mills Legacy (Cat. No. PR00010)
Proceedings. Science and Engineering for Software Development: A Recognition of Harlin D. Mills Legacy (Cat. No. PR00010)
Building on rock: from mills'program functions to tabular notation
Coupling and strength, a la Harlan D. Mills
Developing black box specifications through sequence enumeration
Partition testing with usage models
Applying a generalization of a theorem of Mills to generalized looping structures
Application of statistical science to testing and evaluating software intensive systems
Author index

Application of statistical science to testing and evaluating software intensive systems

Content Provider IEEE Xplore Digital Library
Author Poore, J.H. Trammell, C.J.
Copyright Year 1999
Description Author affiliation: Tennessee Univ., Knoxville, TN, USA (Poore, J.H.)
Abstract Defense systems are becoming increasingly software intensive. While software enhances the effectiveness and flexibility of these systems, it also introduces vulnerabilities related to inadequacies in software design, maintenance, and configuration control. Effective testing of these systems must take into account the special vulnerabilities introduced by software. The software testing problem is complex because of the astronomical number of scenarios and states of use. The domain of testing is large and complex beyond human intuition. Because the software testing problem is so complex, statistical principles must be used to guide testing strategy in order to get the best information for the resources invested in testing. From a statistical point of view, all the topics in this paper follow sound problem solving principles and are direct applications of well established theory and methodology. From a software testing point of view the application of statistical science is relatively new and rapidly evolving, as an increasing range of statistical principles is applied to a growing variety of systems. Statistical testing is used in pockets of industry and agencies of government, including the DoD, on both experimental and routine bases. This paper is a composite of what is in hand and within reasonable reach in the application of statistical science to software testing.
Starting Page 40
Ending Page 57
File Size 102226
Page Count 18
File Format PDF
ISBN 0769500102
DOI 10.1109/SESD.1999.781111
Language English
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date 1999-05-18
Publisher Place USA
Access Restriction Subscribed
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword Software testing Software maintenance System testing Software design Statistical analysis Government Humans Control systems Application software Problem-solving
Content Type Text
Resource Type Article
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