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2nd AST@ICSE 2021: Madrid, Spain
- 2nd IEEE/ACM International Conference on Automation of Software Test, AST@ICSE 2021, Madrid, Spain, May 20-21, 2021. IEEE 2021, ISBN 978-1-6654-3567-3
- Stefan Karlsson, Adnan Causevic, Daniel Sundmark:
Automatic Property-based Testing of GraphQL APIs. 1-10 - Ali Sedaghatbaf, Mahshid Helali Moghadam, Mehrdad Saadatmand:
Automated Performance Testing Based on Active Deep Learning. 11-19 - Alessio Bucaioni, Fabio Di Silvestro, Inderjeet Singh, Mehrdad Saadatmand, Henry Muccini, Thorvaldur Jochumsson:
Model-based Automation of Test Script Generation Across Product Variants: a Railway Perspective. 20-29 - Aitor Arrieta, Jon Ayerdi, Miren Illarramendi, Aitor Agirre, Goiuria Sagardui, Maite Arratibel:
Using Machine Learning to Build Test Oracles: an Industrial Case Study on Elevators Dispatching Algorithms. 30-39 - Haiyang Sun, Andrea Rosà, Daniele Bonetta, Walter Binder:
Automatically Assessing and Extending Code Coverage for NPM Packages. 40-49 - Morena Barboni, Andrea Morichetta, Andrea Polini:
SuMo: A Mutation Testing Strategy for Solidity Smart Contracts. 50-59 - Dániel Vince, Renáta Hodován, Daniella Bársony, Ákos Kiss:
Extending Hierarchical Delta Debugging with Hoisting. 60-69 - Leonardo Mariani, Mauro Pezzè, Valerio Terragni, Daniele Zuddas:
An Evolutionary Approach to Adapt Tests Across Mobile Apps. 70-79 - Seah Kim, Shin Yoo:
Multimodal Surprise Adequacy Analysis of Inputs for Natural Language Processing DNN Models. 80-89 - Cristiano Politowski, Fábio Petrillo, Yann-Gaël Guéhéneuc:
A Survey of Video Game Testing. 90-99 - Lori Flynn, William Snavely, Zachary Kurtz:
Test Suites as a Source of Training Data for Static Analysis Alert Classifiers. 100-108 - Maximiliano Agustin Mascheroni, Emanuel Irrazábal, Gustavo Rossi:
Continuous Testing Improvement Model. 109-112 - Maik Betka, Stefan Wagner:
Extreme mutation testing in practice: An industrial case study. 113-116 - Nicky Williams:
Towards exhaustive branch coverage with PathCrawler. 117-120 - Franz Wotawa, Lorenz Klampfl, Ledio Jahaj:
A framework for the automation of testing computer vision systems. 121-124 - Chidera Biringa, Gökhan Kul:
Automated User Experience Testing through Multi-Dimensional Performance Impact Analysis. 125-128
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