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Search-Based Software Engineering: 11th International Symposium, SSBSE 2019, Tallinn, Estonia, August 31 - September 1, 2019, Proceedings

1st Edition 2019, 2019

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Generating Effective Test Suites by Combining Coverage Criteria

Search Based Software Engineering, p.65-82

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Implications of ceiling effects in defect predictors

International Conference on Software Engineering 2008, 2008, Vol.2008 (16), p.47-54

2008

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

Software testing, verification & reliability, 2023-06, Vol.33 (4), p.n/a

2023

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Special Section on the 2019 Symposium on Search-Based Software Engineering

Information and software technology, 2021-02, Vol.130, p.106440, Article 106440

2021

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Automated oracle creation support, or: How I learned to stop worrying about fault propagation and love mutation testing

2012 34th International Conference on Software Engineering (ICSE), 2012, p.870-880

2012

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Non-functional requirements for machine learning: understanding current use and challenges among practitioners

Requirements engineering, 2023, Vol.28 (2), p.283-316

2023

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Automatically finding the control variables for complex system behavior

Automated software engineering, 2010-12, Vol.17 (4), p.439-468

2010

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Ensuring the Observability of Structural Test Obligations

IEEE transactions on software engineering, 2020-07, Vol.46 (7), p.748-772

2020

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To call, or not to call: contrasting direct and indirect branch coverage in test generation

2018 IEEE/ACM 11th International Workshop on Search-Based Software Testing (SBST), 2018, p.43-50

Gay, Gregory

2018

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Choosing the fitness function for the job: Automated generation of test suites that detect real faults

Software testing, verification & reliability, 2019-06, Vol.29 (4-5), p.n/a

2019

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Multifaceted test suite generation using primary and supporting fitness functions

2018 IEEE/ACM 11th International Workshop on Search-Based Software Testing (SBST), 2018, p.2-5

Gay, Gregory

2018

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Testing, Debugging, and Log Analysis With Modern AI Tools

IEEE software, 2024-03, Vol.41 (2), p.99-102

2024

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Brugada Syndrome Induced by an Interscalene Block: A Case Report

JBJS case connector, 2017-10, Vol.7 (4), p.e96-e96

2017

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Emerging Trends in Requirements Engineering and Testing

IEEE software, 2024-01, Vol.41 (6), p.126

2024

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Defects4J as a Challenge Case for the Search-Based Software Engineering Community

12th International Symposium on Search-Based Software Engineering, SSBSE 2020, Bari, Italy, 2020, Vol.12420 LNCS, p.255-261

2020

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Generating Diverse Test Suites for Gson Through Adaptive Fitness Function Selection

Search-Based Software Engineering, 2020, Vol.SSBSE 2020, p.246-252

2020

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The Risks of Coverage-Directed Test Case Generation

IEEE transactions on software engineering, 2015-08, Vol.41 (8), p.803-819

2015

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Learning how to search: generating effective test cases through adaptive fitness function selection

Empirical software engineering : an international journal, 2022-03, Vol.27 (2), Article 38

2022

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Using Search-Based Test Generation to Discover Real Faults in Guava

Search Based Software Engineering, p.153-160

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Choosing the fitness function for the job: Automated generation of test suites that detect real faults

Software testing, verification & reliability, 2020-11, Vol.30 (7-8), p.n/a

2020

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How Do Different Types ofTesting Goals Affect Test Case Design?

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2023

2023

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Understanding Problem Solving inSoftware Testing: An Exploration ofTester Routines andBehavior

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2023

2023

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Requirements and software engineering for automotive perception systems: an interview study

Requirements engineering, 2024-03, Vol.29 (1), p.25-48

2024

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Automated Steering of Model-Based Test Oracles to Admit Real Program Behaviors

IEEE transactions on software engineering, 2017-06, Vol.43 (6), p.531-555

2017

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Search-Based Software Engineering: 11th International Symposium, SSBSE 2019, Tallinn, Estonia, August 31 - September 1, 2019, Proceedings

Generating Effective Test Suites by Combining Coverage Criteria

Implications of ceiling effects in defect predictors

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

Special Section on the 2019 Symposium on Search-Based Software Engineering

Automated oracle creation support, or: How I learned to stop worrying about fault propagation and love mutation testing

Non-functional requirements for machine learning: understanding current use and challenges among practitioners

Automatically finding the control variables for complex system behavior

Ensuring the Observability of Structural Test Obligations

To call, or not to call: contrasting direct and indirect branch coverage in test generation

Choosing the fitness function for the job: Automated generation of test suites that detect real faults

Multifaceted test suite generation using primary and supporting fitness functions

Testing, Debugging, and Log Analysis With Modern AI Tools

Brugada Syndrome Induced by an Interscalene Block: A Case Report

Emerging Trends in Requirements Engineering and Testing

Defects4J as a Challenge Case for the Search-Based Software Engineering Community

Generating Diverse Test Suites for Gson Through Adaptive Fitness Function Selection

The Risks of Coverage-Directed Test Case Generation

Learning how to search: generating effective test cases through adaptive fitness function selection

Using Search-Based Test Generation to Discover Real Faults in Guava

Choosing the fitness function for the job: Automated generation of test suites that detect real faults

How Do Different Types ofTesting Goals Affect Test Case Design?

Understanding Problem Solving inSoftware Testing: An Exploration ofTester Routines andBehavior

Requirements and software engineering for automotive perception systems: an interview study

Automated Steering of Model-Based Test Oracles to Admit Real Program Behaviors

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