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軟件測(cè)試與運(yùn)行期驗(yàn)證:正式研究(會(huì)議錄)

軟件測(cè)試與運(yùn)行期驗(yàn)證:正式研究(會(huì)議錄)

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作 者: Klaus Havelund 著
出版社: 湖南文藝出版社
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標(biāo) 簽: 暫缺

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ISBN: 9783540496991 出版時(shí)間: 2006-12-01 包裝: 平裝
開(kāi)本: 頁(yè)數(shù): 字?jǐn)?shù):  

內(nèi)容簡(jiǎn)介

  This book constitutes the thoroughly refereed post-proceedings of the First Combined International Workshops on Formal Approaches to Software Testing, FATES 2006, and on Runtime Verification, RV 2006, held within the scope of FLoC 2006, the Federated Logic Conference in Seattle, WA, USA in August 2006. The 14 revised full papers presented together with 3 invited lectures were carefully selected from 31 initial submissions. The papers discuss formal approaches to test and analyze programs and monitor and guide their executions by using techniques from areas like theorem proving, model checking, constraint resolution, static program analysis, abstract interpretation, Markov chains, and various others. Formal approaches to runtime verification use formal techniques to improve traditional ad-hoc monitoring techniques used in testing, debugging, performance monitoring, fault protection, etc.

作者簡(jiǎn)介

暫缺《軟件測(cè)試與運(yùn)行期驗(yàn)證:正式研究(會(huì)議錄)》作者簡(jiǎn)介

圖書(shū)目錄

Invited Talks
Multi-paradigmatic Model-Based Testing
Aspects for Trace Monitoring
Regular Papers
A Symbolic Framework for Model-Based Testing
A Test Calculus Framework Applied to Network Security Policies
Hybrid Input-Output Conformance and Test Generation
Generating Tests from EFSM Models Using Guided Model Checking and Iterated Search Refinement
Decompositional Algorithms for Safety Verification and Testing of Aspect-Oriented Systems
Model-Based Testing of Thin-Client Web Applications
Synthesis of Scenario Based Test Cases from B Models
State-Identification Problems for Finite-State Transducers
Deterministic Dynamic Monitors for Linear-Time Assertions
Robustness of Temporal Logic Specifications
Goldilocks: Efficiently Computing the Happens-Before Relation Using Locksets
Dynamic Architecture Extraction
Safety Property Driven Test Generation from J ML Specifications
Online Testing with Reinforcement Learning
Author Index

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