International Journal on Software Tools for Technology Transfer最新文献_第3页

On the applicability of hybrid systems safety verification tools from the automotive perspective 从汽车角度探讨混合动力系统安全验证工具的适用性

IF 1.5 3区计算机科学

International Journal on Software Tools for Technology Transfer Pub Date : 2023-06-30 DOI: 10.1007/s10009-023-00707-0

Stefan Schupp, E. Ábrahám, Md Tawhid Bin Waez, Thomas Rambow, Zeng Qiu

引用次数: 0

Into the unknown: active monitoring of neural networks (extended version) 进入未知:神经网络的主动监测(扩展版)

3区计算机科学

International Journal on Software Tools for Technology Transfer Pub Date : 2023-06-30 DOI: 10.1007/s10009-023-00711-4

Konstantin Kueffner, Anna Lukina, Christian Schilling, Thomas A. Henzinger

{"title":"Into the unknown: active monitoring of neural networks (extended version)","authors":"Konstantin Kueffner, Anna Lukina, Christian Schilling, Thomas A. Henzinger","doi":"10.1007/s10009-023-00711-4","DOIUrl":"https://doi.org/10.1007/s10009-023-00711-4","url":null,"abstract":"Abstract Neural-network classifiers achieve high accuracy when predicting the class of an input that they were trained to identify. Maintaining this accuracy in dynamic environments, where inputs frequently fall outside the fixed set of initially known classes, remains a challenge. We consider the problem of monitoring the classification decisions of neural networks in the presence of novel classes. For this purpose, we generalize our recently proposed abstraction-based monitor from binary output to real-valued quantitative output. This quantitative output enables new applications, two of which we investigate in the paper. As our first application, we introduce an algorithmic framework for active monitoring of a neural network, which allows us to learn new classes dynamically and yet maintain high monitoring performance. As our second application, we present an offline procedure to retrain the neural network to improve the monitor’s detection performance without deteriorating the network’s classification accuracy. Our experimental evaluation demonstrates both the benefits of our active monitoring framework in dynamic scenarios and the effectiveness of the retraining procedure.","PeriodicalId":14395,"journal":{"name":"International Journal on Software Tools for Technology Transfer","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135857635","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Concurrent runtime verification of data rich events 数据丰富事件的并发运行时验证

IF 1.5 3区计算机科学

International Journal on Software Tools for Technology Transfer Pub Date : 2023-06-26 DOI: 10.1007/s10009-023-00713-2

N. Shafiei, K. Havelund, P. Mehlitz

引用次数: 1

Knowledge representation of the state of a cloud-native application 云原生应用程序状态的知识表示

IF 1.5 3区计算机科学

International Journal on Software Tools for Technology Transfer Pub Date : 2023-06-22 DOI: 10.1007/s10009-023-00705-2

J. Kosińska, Grzegorz Brotoń, Maciej Tobiasz

引用次数: 0

Programming event monitors 编程事件监视器

IF 1.5 3区计算机科学

International Journal on Software Tools for Technology Transfer Pub Date : 2023-06-22 DOI: 10.1007/s10009-023-00706-1

K. Havelund, G. Holzmann

引用次数: 1

Algebraically explainable controllers: decision trees and support vector machines join forces 代数上可解释的控制器:决策树和支持向量机联合起来

3区计算机科学

International Journal on Software Tools for Technology Transfer Pub Date : 2023-06-01 DOI: 10.1007/s10009-023-00716-z

Florian Jüngermann, Jan Křetínský, Maximilian Weininger

引用次数: 1

Explanation Paradigms Leveraging Analytic Intuition (ExPLAIn) 利用分析直觉的解释范式(ExPLAIn)

IF 1.5 3区计算机科学

International Journal on Software Tools for Technology Transfer Pub Date : 2023-06-01 DOI: 10.1007/s10009-023-00715-0

Nils Jansen, Gerrit Nolte, Bernhard Steffen

引用次数: 0

Decision-making under uncertainty: beyond probabilities 不确定性下的决策:超越概率

3区计算机科学

International Journal on Software Tools for Technology Transfer Pub Date : 2023-05-30 DOI: 10.1007/s10009-023-00704-3

Thom Badings, Thiago D. Simão, Marnix Suilen, Nils Jansen

引用次数: 3

Forest GUMP: a tool for verification and explanation forrest GUMP:用于验证和解释的工具

3区计算机科学

International Journal on Software Tools for Technology Transfer Pub Date : 2023-05-30 DOI: 10.1007/s10009-023-00702-5

Alnis Murtovi, Alexander Bainczyk, Gerrit Nolte, Maximilian Schlüter, Bernhard Steffen

{"title":"Forest GUMP: a tool for verification and explanation","authors":"Alnis Murtovi, Alexander Bainczyk, Gerrit Nolte, Maximilian Schlüter, Bernhard Steffen","doi":"10.1007/s10009-023-00702-5","DOIUrl":"https://doi.org/10.1007/s10009-023-00702-5","url":null,"abstract":"Abstract In this paper, we present Forest GUMP (for Generalized, Unifying Merge Process) a tool for verification and precise explanation of Random forests. Besides pre/post-condition-based verification and equivalence checking, Forest GUMP also supports three concepts of explanation, the well-known model explanation and outcome explanation , as well as class characterization , i.e., the precise characterization of all samples that are equally classified. Key technology to achieve these results is algebraic aggregation, i.e., the transformation of a Random Forest into a semantically equivalent, concise white-box representation in terms of Algebraic Decision Diagrams (ADDs). The paper sketches the method and demonstrates the use of Forest GUMP along illustrative examples. This way readers should acquire an intuition about the tool, and the way how it should be used to increase the understanding not only of the considered dataset, but also of the character of Random Forests and the ADD technology, here enriched to comprise infeasible path elimination. As Forest GUMP is publicly available all experiments can be reproduced, modified, and complemented using any dataset that is available in the ARFF format.","PeriodicalId":14395,"journal":{"name":"International Journal on Software Tools for Technology Transfer","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135477898","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Towards rigorous understanding of neural networks via semantics-preserving transformations 通过保持语义的转换来严格理解神经网络

3区计算机科学

International Journal on Software Tools for Technology Transfer Pub Date : 2023-05-30 DOI: 10.1007/s10009-023-00700-7

Maximilian Schlüter, Gerrit Nolte, Alnis Murtovi, Bernhard Steffen

{"title":"Towards rigorous understanding of neural networks via semantics-preserving transformations","authors":"Maximilian Schlüter, Gerrit Nolte, Alnis Murtovi, Bernhard Steffen","doi":"10.1007/s10009-023-00700-7","DOIUrl":"https://doi.org/10.1007/s10009-023-00700-7","url":null,"abstract":"Abstract In this paper, we present an algebraic approach to the precise and global verification and explanation of Rectifier Neural Networks , a subclass of Piece-wise Linear Neural Networks (PLNNs), i.e., networks that semantically represent piece-wise affine functions. Key to our approach is the symbolic execution of these networks that allows the construction of semantically equivalent Typed Affine Decision Structures (TADS). Due to their deterministic and sequential nature, TADS can, similarly to decision trees, be considered as white-box models and therefore as precise solutions to the model and outcome explanation problem. TADS are linear algebras, which allows one to elegantly compare Rectifier Networks for equivalence or similarity, both with precise diagnostic information in case of failure, and to characterize their classification potential by precisely characterizing the set of inputs that are specifically classified, or the set of inputs where two network-based classifiers differ. All phenomena are illustrated along a detailed discussion of a minimal, illustrative example: the continuous XOR function.","PeriodicalId":14395,"journal":{"name":"International Journal on Software Tools for Technology Transfer","volume":"168 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135478139","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5