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An automated framework for software test oracle

https://doi.org/10.1016/j.infsof.2011.02.006

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/int.1002openalex-snapshot

Using a neural network in the software testing process

inferredcites →https://doi.org/10.1002/smr.305openalex-snapshot

Automating regression testing for evolving GUI software

inferredcites →https://doi.org/10.1002/spe.409openalex-snapshot

Software testing using model programs

inferredcites →https://doi.org/10.1007/11893295_55openalex-snapshot

Neural Networks Based Automated Test Oracle for Software Testing

inferredcites →https://doi.org/10.1007/978-3-031-01587-8_3openalex-snapshot

Basics of Neural Networks

inferredcites →https://doi.org/10.1007/978-3-540-73762-9_2openalex-snapshot

Artificial Neural Networks

inferredcites →https://doi.org/10.1007/s10515-011-0094-zopenalex-snapshot

Artificial neural networks as multi-networks automated test oracle

inferredcites →https://doi.org/10.1016/0950-5849(93)90053-6openalex-snapshot

Mutation testing—its origin and evolution

inferredcites →https://doi.org/10.1016/j.infsof.2005.05.003openalex-snapshot

On the relationship between two control-flow coverage criteria: all JJ-paths and MCDC

inferredcites →https://doi.org/10.1016/j.infsof.2008.05.016openalex-snapshot

Building test cases and oracles to automate the testing of web database applications

inferredcites →https://doi.org/10.1016/j.infsof.2008.09.010openalex-snapshot

Automating regression test selection based on UML designs

inferredcites →https://doi.org/10.1016/j.jss.2006.06.017openalex-snapshot

Neural-network-based approaches for software reliability estimation using dynamic weighted combinational models

inferredcites →https://doi.org/10.1016/j.jss.2007.12.809openalex-snapshot

Automatic, evolutionary test data generation for dynamic software testing

inferredcites →https://doi.org/10.1016/s0920-5489(99)92165-7openalex-snapshot

Planning efficient software tests

inferredcites →https://doi.org/10.1016/s0950-5849(02)00128-3openalex-snapshot

Comparison of artificial neural network and regression models for estimating software development effort

inferredcites →https://doi.org/10.1017/9781108974073.004openalex-snapshot

Introduction to Software Testing

inferredcites →https://doi.org/10.1049/sej.1995.0012openalex-snapshot

Exploring the behaviour of neural network software quality models

inferredcites →https://doi.org/10.1109/2.566148openalex-snapshot

Investigating the influence of formal methods

inferredcites →https://doi.org/10.1109/32.485221openalex-snapshot

On the expected number of failures detected by subdomain testing and random testing

inferredcites →https://doi.org/10.1109/32.553698openalex-snapshot

A framework for specification-based testing

inferredcites →https://doi.org/10.1109/32.667877openalex-snapshot

Using test oracles generated from program documentation

inferredcites →https://doi.org/10.1109/32.962563openalex-snapshot

On comparisons of random, partition, and proportional partition testing

inferredcites →https://doi.org/10.1109/32.988709openalex-snapshot

Generating software test data by evolution

inferredcites →https://doi.org/10.1109/52.819971openalex-snapshot

What is software testing? And why is it so hard?

inferredcites →https://doi.org/10.1109/ase.1998.732605openalex-snapshot

Automated software test data generation for complex programs

inferredcites →https://doi.org/10.1109/ase.2002.1115005openalex-snapshot

Generating expected results for automated black-box testing

inferredcites →https://doi.org/10.1109/asset.2000.888032openalex-snapshot

Predicting testability of program modules using a neural network

inferredcites →https://doi.org/10.1109/csse.2008.774openalex-snapshot

Artificial Neural Network for Automatic Test Oracles Generation

inferredcites →https://doi.org/10.1109/iccsit.2010.5563989openalex-snapshot

An automated oracle approach to test decision-making structures

inferredcites →https://doi.org/10.1109/icse.1992.753494openalex-snapshot

Specification-based test oracles for reactive systems

inferredcites →https://doi.org/10.1109/icsea.2009.29openalex-snapshot

A Comparative Study on Automated Software Test Oracle Methods

inferredcites →https://doi.org/10.1109/icsmc.2003.1243907openalex-snapshot

Test case generation and reduction by automated input-output analysis

inferredcites →https://doi.org/10.1109/icste.2010.5608808openalex-snapshot

A Single-Network ANN-based Oracle to verify logical software modules

inferredcites →https://doi.org/10.1109/issre.1992.285855openalex-snapshot

A neural network approach for predicting software development faults

inferredcites →https://doi.org/10.1109/issre.1998.730876openalex-snapshot

Model-based testing of a highly programmable system

inferredcites →https://doi.org/10.1142/5549openalex-snapshot

Artificial Intelligence Methods in Software Testing

inferredcites →https://doi.org/10.1142/9789812794758_0002openalex-snapshot

BLACK-BOX TESTING WITH INFO-FUZZY NETWORKS

inferredcites →https://doi.org/10.1142/9789812794758_0003openalex-snapshot

AUTOMATED GUI REGRESSION TESTING USING AI PLANNING

inferredcites →https://doi.org/10.1142/s0218194004001737openalex-snapshot

USING DATA MINING FOR AUTOMATED SOFTWARE TESTING

inferredcites →https://doi.org/10.1145/1189748.1189752openalex-snapshot

Designing and comparing automated test oracles for GUI-based software applications

inferredcites →https://doi.org/10.1145/143062.143100openalex-snapshot

Specification-based test oracles for reactive systems

inferredcites →https://doi.org/10.1145/186258.186508openalex-snapshot

Generating a test oracle from program documentation

inferredcites →https://doi.org/10.1145/347324.349042openalex-snapshot

Black-box test reduction using input-output analysis

inferredcites →https://doi.org/10.1145/347636.349042openalex-snapshot

Black-box test reduction using input-output analysis

inferredcites →https://doi.org/10.1145/355045.355050openalex-snapshot

Automated test oracles for GUIs

inferredcites →https://doi.org/10.1145/357474.355050openalex-snapshot

Automated test oracles for GUIs

inferredcites →https://doi.org/10.1145/986710.986725openalex-snapshot

A neural net based approach to Test Oracle

inferredcites →https://doi.org/10.3923/itj.2007.469.474openalex-snapshot

Oracle Model Based on RBF Neural Networks for Automated Software Testing

inferredcites →https://doi.org/10.5860/choice.45-6834openalex-snapshot

Introduction to software testing

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Machine learning‐based test oracles for performance testing of cyber‐physical systems: An industrial case study on elevators dispatching algorithms

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The integration of machine learning into automated test generation: A systematic mapping study

inferred← citeshttps://doi.org/10.1007/978-3-030-33495-6_31openalex-snapshot

Performing Software Test Oracle Based on Deep Neural Network with Fuzzy Inference System

inferred← citeshttps://doi.org/10.1007/978-3-642-24580-0_15openalex-snapshot

Assessing Test Adequacy for Black-Box Systems without Specifications

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Guided Algebraic Specification Mining for Failure Simplification

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Künstliche Intelligenz in der Softwareentwicklung

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A Fuzzy Based Approach for the Selection of Software Testing Automation Framework

inferred← citeshttps://doi.org/10.1007/s00500-020-05197-9openalex-snapshot

A weight optimized artificial neural network for automated software test oracle

inferred← citeshttps://doi.org/10.1007/s10515-011-0094-zopenalex-snapshot

Artificial neural networks as multi-networks automated test oracle

inferred← citeshttps://doi.org/10.1007/s13369-014-1150-3openalex-snapshot

A Requirements Negotiation Process Model that Integrates EasyWinWin with Quality Assurance and Multi-Criteria Preference Techniques

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A multi-nets ANN model for real-time performance-based automatic fault diagnosis of industrial gas turbine engines

inferred← citeshttps://doi.org/10.1016/b978-0-12-800160-8.00001-2openalex-snapshot

Automated Test Oracles

inferred← citeshttps://doi.org/10.1016/b978-0-12-800160-8.00003-6openalex-snapshot

Automated Test Oracles

inferred← citeshttps://doi.org/10.1016/j.aei.2014.01.001openalex-snapshot

Artificial neural networks as speech recognisers for dysarthric speech: Identifying the best-performing set of MFCC parameters and studying a speaker-independent approach

inferred← citeshttps://doi.org/10.1016/j.infsof.2014.08.001openalex-snapshot

Automatic generation algorithm of expected results for testing of component-based software system

inferred← citeshttps://doi.org/10.1016/j.infsof.2016.05.005openalex-snapshot

An incremental method for extracting tests from object-oriented specification

inferred← citeshttps://doi.org/10.1016/j.infsof.2021.106543openalex-snapshot

Efilter: An effective fault localization based on information entropy with unlabelled test cases

inferred← citeshttps://doi.org/10.1016/j.neucom.2013.09.040openalex-snapshot

Real-time frequency-based noise-robust Automatic Speech Recognition using Multi-Nets Artificial Neural Networks: A multi-views multi-learners approach

inferred← citeshttps://doi.org/10.1109/access.2022.3153347openalex-snapshot

Automated Software Test Data Generation With Generative Adversarial Networks

inferred← citeshttps://doi.org/10.1109/dsd53832.2021.00034openalex-snapshot

Towards Machine Learning Support for Embedded System Tests

inferred← citeshttps://doi.org/10.1109/iaeac54830.2022.9929728openalex-snapshot

Hybrid-driven Automated Testing Approach for Complex Process Equipment Software

inferred← citeshttps://doi.org/10.1109/iciea.2015.7334158openalex-snapshot

Test oracles based on artificial neural networks and info fuzzy networks: A comparative study

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On the use of array learners towards Automatic Speech Recognition for dysarthria

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Training Binary Classifiers as Data Structure Invariants

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EvoSpex: An Evolutionary Algorithm for Learning Postconditions

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Human-In-The-Loop Automatic Program Repair

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Fault Localization and Test Oracle Generation Based on the Mutual Pattern of Discrete Path Variables

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A classifier-based test oracle for embedded software

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A Multi-Views Multi-Learners Approach Towards Dysarthric Speech Recognition Using Multi-Nets Artificial Neural Networks

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The Oracle Problem in Software Testing: A Survey

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Human-in-the-Loop Automatic Program Repair

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Assessing Evaluation Metrics for Neural Test Oracle Generation

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OneMoreTest: A Learning-Based Approach to Generating and Selecting Fault-Revealing Unit Tests

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Test Oracle Generation Based on BPNN by Using the Values of Variables at Different Breakpoints for Programs

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Application of the Shuffled Frog Leaping Algorithm (SFLA) in Constructing Fuzzy Classification Systems

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Supporting oracle construction via static analysis

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Applying learning techniques to oracle synthesis

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Using machine learning to generate test oracles: a systematic literature review

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CirFix: automatically repairing defects in hardware design code

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Application of Quantum Extreme Learning Machines for QoS Prediction of Elevators’ Software in an Industrial Context

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On test oracles for Simulink-like models

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Improvement of the Baseline Method in Structural Testing

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Twinner: A Framework for Automated Software Deobfuscation

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Constructing Automated Test Oracle for Low Observable Software

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Construction on English Translation Corpus System for Chinese Cultural Classics

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A Hybridized Artificial Neural Network for Automated Software Test Oracle

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Artificial Intelligence in Software Testing

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A Method for the Selection of Software Testing Automation Framework using Analytic Hierarchy Process

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Artificial Intelligence in Software Test Automation: A Systematic Literature Review

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Testing and maintenance of graphical user interfaces

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