J. Autom. Reason.最新文献

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Automated Generation of Geometry Proof Problems Based on Point Geometry Identity 基于点几何特征的几何证明问题的自动生成
J. Autom. Reason. Pub Date : 2024-06-01 DOI: 10.1007/s10817-024-09699-1
Lei Li, Zongkai Yang, Mao Chen, Xicheng Peng, Jianwen Sun, Zhonghua Yan, Sannyuya Liu
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引用次数: 0
Formalising $varSigma$-Protocols and Commitment Schemes Using CryptHOL 使用CryptHOL形式化$varSigma$-协议和承诺方案
J. Autom. Reason. Pub Date : 2020-09-09 DOI: 10.1007/s10817-020-09581-w
D. Butler, A. Lochbihler, David Aspinall, Adrià Gascón
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引用次数: 3
Decidable ∃ *∀ * First-Order Fragments of Linear Rational Arithmetic with Uninterpreted Predicates 可决定的∃*∀*带未解释谓词的线性有理算术的一阶片段
J. Autom. Reason. Pub Date : 2020-07-18 DOI: 10.1007/s10817-020-09567-8
Marco Voigt
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引用次数: 1
Expert Systems 专家系统
J. Autom. Reason. Pub Date : 1900-01-01 DOI: 10.1007/springerreference_5514
B. Buchanan
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引用次数: 0
What Is Automated Theorem Proving? 什么是自动定理证明?
J. Autom. Reason. Pub Date : 1900-01-01 DOI: 10.1002/9780470050118.ecse434
W. Bledsoe, L. Henschen
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引用次数: 251
Program Verification 程序验证
J. Autom. Reason. Pub Date : 1900-01-01 DOI: 10.1142/9789813229211_0006
R. Kurshan
{"title":"Program Verification","authors":"R. Kurshan","doi":"10.1142/9789813229211_0006","DOIUrl":"https://doi.org/10.1142/9789813229211_0006","url":null,"abstract":"534 NOTICES OF THE AMS VOLUME 47, NUMBER 5 H ow can a computer program developer ensure that a program actually implements its intended purpose? This article describes a method for checking the correctness of certain types of computer programs. The method is used commercially in the development of programs implemented as integrated circuits and is applicable to the development of “control-intensive” software programs as well. “Divide-and-conquer” techniques central to this method apply to a broad range of program verification methodologies. Classical methods for testing and quality control no longer are sufficient to protect us from communication network collapses, fatalities from medical machinery malfunction, rocket guidance failure, or a half-billion dollar commercial loss due to incorrect arithmetic in a popular integrated circuit. These sensational examples are only the headline cases. Behind them are multitudes of mundane programs whose failures merely infuriate their users and cause increased costs to their producers. A source of such problems is the growth in program complexity. The more a program controls, the more types of interactions it supports. For example, the telephone “call-forwarding” service (forwarding incoming calls to a customer-designated number) interacts with the “billing” program that must determine whether the forwarding number or the calling number gets charged for the additional connection to the customer-designated number. At the same time, call-forwarding interacts with the “connection” program that deals with the issue of what to do in case the called number is busy, but the ultimate forward destination is free. One property to check is that a call is billed to the customer if and only if the connection is completed. If the call connection and billing programs interact incorrectly, a called number that was busy and then became free could appear busy to one program and free to the other, resulting in an unbilled service or an unwarranted charge, depending upon their order of execution. If a program includes n interrelated control functions with more than one state, the resulting program may need to support 2n distinct combinations of interactions, any of which may harbor a potential unexpected peculiarity. When n is very small, the developer can visualize all the combinations and deal with them individually. Since the size of a program tends to be proportional to the number of functions it includes (one program block per function), the number of program interactions as a function of program size may grow exponentially. As a result, the developer can use only a very small proportion of the possible program interactions to guide the development and testing of the program. When some unconsidered combination produces an eccentric behavior, the result may be a “bug”. While a computer could be programmed to check a program under development for eccentric behavior by searching exhaustively through all combinations of progr","PeriodicalId":380235,"journal":{"name":"J. Autom. Reason.","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121237110","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 70
Logic Programming 逻辑编程
J. Autom. Reason. Pub Date : 1900-01-01 DOI: 10.1007/3-540-55460-2
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引用次数: 1
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