Priapism 发表于 2025-3-23 12:28:18

Testing Functional Black-Box Programs Without a Specificationariety of techniques, all of which employ various types of data mining and machine learning algorithms to examine test executions and to inform the selection of new tests. Here we provide an overview of these techniques and examine their limitations and opportunities for future research.

Asparagus 发表于 2025-3-23 15:14:00

Machine Learning for Software Analysis: Models, Methods, and Applicationse of models one seeks to infer. We describe some important principles of ML, give an overview of some key methods, and present examples of areas of software engineering benefiting from ML. We also discuss the open challenges for reaching the full potential of ML for software engineering and how ML can benefit from software engineering methods.

ALIBI 发表于 2025-3-23 18:21:18

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针叶树 发表于 2025-3-24 01:32:05

Extending Automata Learning to Extended Finite State Machinesdevelopment, verification, and testing..This survey paper presents general principles behind some of these recent extensions. The goal is to elucidate how the principles behind classic automata learning can be maintained and guide extensions to more general automata models, and to situate some extensions with respect to these principles.

chronology 发表于 2025-3-24 03:48:07

0302-9743 verview of the machine learning techniques that can be used Machine learning of software artefacts is an emerging area of interaction between the machine learning and software analysis communities.  Increased productivity in software engineering relies on the creation of new adaptive, scalable tools

ENNUI 发表于 2025-3-24 10:31:02

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平躺 发表于 2025-3-24 14:00:06

Machine Learning for Dynamic Software Analysis: Potentials and LimitsInternational Dagstu

Arthr- 发表于 2025-3-24 16:06:34

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Boycott 发表于 2025-3-24 22:12:32

Book 2018n between the machine learning and software analysis communities.  The book provides an overview of the machine learning techniques that can be used for software analysis and presents example applications of their use. Besides an introductory chapter, the book is structured into three parts: testing

Dendritic-Cells 发表于 2025-3-25 00:10:50

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查看完整版本: Titlebook: Machine Learning for Dynamic Software Analysis: Potentials and Limits; International Dagstu Amel Bennaceur,Reiner Hähnle,Karl Meinke Book 2