A SPECIFICATION-BASED COVERAGE METRIC TO EVALUATE TEST SETS

Author:

AMMANN PAUL E.1,BLACK PAUL E.2

Affiliation:

1. Department of Information and Software Engineering, George Mason University, MS 4A4, Science and Technology II, Fairfax, Virginia 22030-4444, USA

2. Information Technology Laboratory, National Institute of Standards and Technology 100 Bureau Drive, Stop 8970, Gaithersburg, Maryland 20899-8970, USA

Abstract

Software developers use a variety of formal and informal methods, including testing, to argue that their systems are suitable for building high assurance applications. In this paper, we develop another connection between formal methods and testing by defining a specification-based coverage metric to evaluate test sets. Formal methods in the form of a model checker supply the necessary automation to make the metric practical. The metric gives the software developer assurance that a given test set is sufficiently sensitive to the structure of an application's specification. We also develop the necessary foundation for the metric and then illustrate the metric on an example.

Publisher

World Scientific Pub Co Pte Lt

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Energy Engineering and Power Technology,Aerospace Engineering,Safety, Risk, Reliability and Quality,Nuclear Energy and Engineering,General Computer Science

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1. Causality and Responsibility for Formal Verification and Beyond;Electronic Proceedings in Theoretical Computer Science;2016-08-26

2. Model-based mutation testing—Approach and case studies;Science of Computer Programming;2016-05

3. PBCOV: a property-based coverage criterion;Software Quality Journal;2014-05-31

4. Information Technology (IT) Security in Small and Medium Enterprises (SMEs);Progress in IS;2013-10-04

5. A case study in model-based testing of specifications and implementations;Software Testing, Verification and Reliability;2010-03-05

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