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The Testing Process - A Decision Based Approach

Lars Borner, Timea Illes-Seifert, Barbara Paech
2007 International Conference on Software Engineering Advances (ICSEA 2007)  
The Testing Process -A Decision-Based Approach 3 Copyright © Arbeitsgruppe Software Systems Engineering Heidelberg testing process, several decisions have to be made.  ...  This decision hierarchy can be used for different purposes, e.g. as a framework to categorize existing testing approaches or as a framework to analyze actual testing processes in an organization and to  ...  Figure 4 exemplifies how approaches to use case based testing can be compared on the basis of the decision hierarchy.  ... 
doi:10.1109/icsea.2007.75 dblp:conf/icsea/BornerIP07 fatcat:3rrfgzjtffc25ibvkryxilfuzi

A decision-based approach to rhetorical parsing

Daniel Marcu
1999 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics -  
The algorithm exploits robust lexical, syntactic, and semantic knowledge sources.  ...  We present a shift-reduce rhetorical parsing algorithm that learns to construct rhetorical structures of texts from a corpus of discourse-parse action sequences.  ...  The segmenter is either Decision-Tree-Based (DT) or Manual (M).  ... 
doi:10.3115/1034678.1034736 dblp:conf/acl/Marcu99 fatcat:lcj2my3bofby5fnqq77d5kwimq

A Decision Tree Learning Approach for Mining Relationship-Based Access Control Policies [article]

Thang Bui, Scott D. Stoller
2020 arXiv   pre-print
This paper presents new algorithms, called DTRM (Decision Tree ReBAC Miner) and DTRM^-, based on decision trees, for mining ReBAC policies from access control lists (ACLs) and information about entities  ...  ReBAC policy mining algorithms have the potential to significantly reduce the cost of migration from legacy access control systems to ReBAC, by partially automating the development of a ReBAC policy.  ...  Sekar for suggesting decision tree learning as an approach to policy mining.  ... 
arXiv:1909.12095v5 fatcat:6tusi3bfgzcq3jmeei3vaspsve

2Planning for Contingencies: A Decision-based Approach [article]

L. Pryor, G. Collins
1996 arXiv   pre-print
The explicit representation of decisions in Cassandra allows a coherent approach to the problems of contingent planning, and provides a solid base for extensions such as the use of different decision-making  ...  Cassandra thus distinguishes the process of gathering information from the process of making decisions.  ...  Much of this work was performed while the rst author was a student at the Institute for the Learning Sciences, Northwestern University.  ... 
arXiv:cs/9605106v1 fatcat:kbj6e75pjzfu7dsa6zplekwoby

Planning for Contingencies: A Decision-based Approach

L. Pryor, G. Collins
1996 The Journal of Artificial Intelligence Research  
The explicit representation of decisions in Cassandra allows a coherent approach to the problems of contingent planning, and provides a solid base for extensions such as the use of different decision-making  ...  Cassandra thus distinguishes the process of gathering information from the process of making decisions.  ...  Much of this work was performed while the rst author was a student a t the Institute for the Learning Sciences, Northwestern University.  ... 
doi:10.1613/jair.277 fatcat:yonkbcwlvbfnldm6chs6hqcrhm

Decisionmetrics: A Decision-Based Approach to Econometric Modelling

Spyros Skouras
2001 Social Science Research Network  
Our decision-based approach utilises this discrepancy in estimation, selection, inference and evaluation of parametric or semiparametric models.  ...  The approach is illustrated and applied in the context of a CARA investor's decision problem for which analytical, simulation and empirical results suggest it is very effective.  ...  application of the proposed decision-based approach in the context of a standard stylised decision problem.  ... 
doi:10.2139/ssrn.291921 fatcat:gp3qixtcojhztmwqup6vjys5m4

Decisionmetrics: A decision-based approach to econometric modelling

Spyros Skouras
2007 Journal of Econometrics  
Our decision-based approach utilises this discrepancy in estimation, selection, inference and evaluation of parametric or semiparametric models.  ...  The approach is illustrated and applied in the context of a CARA investor's decision problem for which analytical, simulation and empirical results suggest it is very effective.  ...  application of the proposed decision-based approach in the context of a standard stylised decision problem.  ... 
doi:10.1016/j.jeconom.2006.03.012 fatcat:vjtmmdc73fespbgh72uhmnhiwa

A Variational Perturbative Approach to Planning in Graph-based Markov Decision Processes [article]

Dominik Linzner, Heinz Koeppl
2020 arXiv   pre-print
We present a novel approximate solution method for multi-agent Markov decision problems on graphs, based on variational perturbation theory.  ...  We show that in cases, where the goal is encoded as a non-local cost function, our method performs well, while state-of-the-art methods approach the performance of random guess.  ...  Heinz Koeppl acknowledges support by the European Research Council (ERC) within the CONSYN project, No. 773196, and by the Hessian research priority programme LOEWE within the project CompuGene.  ... 
arXiv:1912.01849v2 fatcat:dijlbti2pngehkklkzteneigli

A Decision Tree Based Approach Towards Adaptive Profiling of Distributed Applications [article]

Ioannis Giannakopoulos, Dimitrios Tsoumakos, Nectarios Koziris
2017 arXiv   pre-print
Our approach utilizes oblique Decision Trees in order to recursively partition an application's configuration space in disjoint regions, choose a set of representative samples from each subregion according  ...  It particularly excels at reflecting abnormalities and discontinuities of the performance function, allowing the user to influence the sampling policy based on the modeling accuracy and the space coverage  ...  Our approach is referred to as Decision Tree-based Adaptive methodology (DTA).  ... 
arXiv:1704.02855v2 fatcat:zpbugjyvqzavxp6y4f7rxwcfu4

A decision tree based approach for microgrid islanding detection

Riyasat Azim, Yongli Zhu, Hira Amna Saleem, Kai Sun, Fangxing Li, Di Shi, Ratnesh Sharma
2015 2015 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)  
The proposed technique is tested on a microgrid model implemented on IEEE 13-node distribution feeder system under a wide variety of system operating states.  ...  Results from test case study have been analyzed to evaluate the effectiveness of the proposed method.  ...  Two different testing methods -a) 10-fold cross validation and b) percent split were employed to test the developed decision trees and performances were evaluated based on four indices-classifier accuracy  ... 
doi:10.1109/isgt.2015.7131809 dblp:conf/isgt/AzimZSSLSS15 fatcat:rdjtnqjzlzcnlllzmz5fljrj4y

Crowdsourced Entity Alignment: A Decision Theory Based Approach [chapter]

Yan Zhuang, Guoliang Li, Jianhua Feng
2017 Lecture Notes in Computer Science  
a selected question?  ...  In this paper, we address these two problems by decision theory. Firstly, we define the problems on two budget constraints.  ...  To reduce monetary costs, we adopt a partial order based approach to describe the inference power of a candidate pair: if a candidate pair is labeled to be aligned, the pairs preceeding this pair based  ... 
doi:10.1007/978-3-319-68786-5_2 fatcat:ui55qrip4zalrpizpd54uqpkmu

Non-Stationary Markov Decision Processes, a Worst-Case Approach using Model-Based Reinforcement Learning, Extended version [article]

Erwan Lecarpentier, Emmanuel Rachelson
2020 arXiv   pre-print
We study Markov Decision Processes (MDPs) evolving over time and consider Model-Based Reinforcement Learning algorithms in this setting.  ...  This leads us to consider a worst-case method where the environment is seen as an adversarial agent; 3) following this approach, we propose the Risk-Averse Tree-Search (RATS) algorithm, a zero-shot Model-Based  ...  Acknowledgments This research was supported by the Occitanie region, France.  ... 
arXiv:1904.10090v4 fatcat:dnzpccnhnnampfbjcqmbaqctma

Supporting business model decisions: a scenario-based simulation approach

Karl Täuscher, Melvis Chafac
2016 International Journal of Markets and Business Systems  
Finally, the research discusses the general applicability of the scenario-based simulation approach as a tool for entrepreneurial decision making.  ...  Based on historic data of eBay, it demonstrates how the scenario-based simulation approach allows comparing the implications of different revenue model options on eBay's performance.  ...  Therefore, the scenario-based simulation process serves as a stimulus for questioning existing mental models.  ... 
doi:10.1504/ijmabs.2016.078107 fatcat:tzqclqpfijd6xfsgpj3llk7f2a

Identification of Unexpected Decisions in Partially Observable Monte-Carlo Planning: a Rule-Based Approach [article]

Giulio Mazzi, Alberto Castellini, Alessandro Farinelli
2021 arXiv   pre-print
Partially Observable Monte-Carlo Planning (POMCP) is a powerful online algorithm able to generate approximate policies for large Partially Observable Markov Decision Processes.  ...  Results show that the approach can exploit human knowledge on the domain, outperforming state-of-the-art anomaly detection methods in identifying unexpected decisions.  ...  A possibility to use SMT-based approaches to verify POMCP policies is to encode the POMDP problem in one of the logic-based frameworks presented in [3, 7, 23, 28] , where property guarantees can be formally  ... 
arXiv:2012.12732v2 fatcat:hooj3vqpprbmlndys4u6q4lrfm

Debiasing architectural decision-making: a workshop-based training approach [article]

Klara Borowa, Maria Jarek, Gabriela Mystkowska, Weronika Paszko, Andrzej Zalewski
2022 arXiv   pre-print
Cognitive biases distort the process of rational decision-making, including architectural decision-making.  ...  Divided into 12 teams, they created two designs - before and after a debiasing workshop. We recorded this process and analysed how the participants discussed their decisions.  ...  Analysis For the analysis, we used a modified approach of our method from our previous study [1] .  ... 
arXiv:2206.14701v1 fatcat:k56pijcplncfdbhr4yj5ml2lri
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