Formal Approaches to Software Testing

4th International Workshop, FATES 2004, Linz, Austria, September 21, 2004, Revised Selected Papers

AvJens Grabowski,Brian Nielsen

Häftad, Engelska, 2005

Del i serien Lecture Notes in Computer Science

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Beskrivning

This book constitutes the thoroughly refereed post-proceedings of the 4th International Workshop on Formal Approaches to Software Testing, FATES 2004, held in Linz, Austria in September 2004.The 14 revised full papers presented were carefully selected during two rounds of reviewing and improvement; they are organized in topical sections on symbolic test generation, testing non-functional properties, test development with model checking techniques, and test optimization.

Produktinformation

Utgivningsdatum:2005-03-07
Mått:155 x 235 x 14 mm
Vikt:376 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:228
Förlag:Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN:9783540251095

Utforska kategorier

Informationsteknik: allmänt inom Data och IT

Innehållsförteckning

Symbolic Test Generation.- Test Generation Based on Symbolic Specifications.- Symbolic Test Case Generation for Primitive Recursive Functions.- Preserving Contexts for Soft Conformance Relation.- Testing Non-functional Properties.- Testing of Symbolic-Probabilistic Systems.- A Test Generation Framework for quiescent Real-Time Systems.- Online Testing of Real-time Systems Using Uppaal.- Testing Deadlock-Freeness in Real-Time Systems: A Formal Approach.- Test Development with Model Checking Techniques.- Using Model Checking for Reducing the Cost of Test Generation.- Specifying and Generating Test Cases Using Observer Automata.- Semi-formal Development of a Fault-Tolerant Leader Election Protocol in Erlang.- An Automata-Theoretic Approach for Model-Checking Systems with Unspecified Components.- Test Optimization.- Test Patterns with TTCN-3.- High-Level Restructuring of TTCN-3 Test Data.- Ordering Mutants to Minimise Test Effort in Mutation Testing.- Testing COM Components Using Software Fault Injection and Mutation Analysis, and Its Empirical Study.