ERD

Periodic Reporting for period 4 - EPIC (Evolving Program Improvement Collaborators)

Project: EPIC

Updated at: 31-08-2024

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Project acronym EPIC

Some challenges for software testing research (invited talk paper)

Project: EPIC

Updated at: 27-04-2024

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Project acronym EPIC

The importance of accounting for real-world labelling when predicting software vulnerabilities

Project: EPIC

Updated at: 27-04-2024

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Project acronym EPIC

An Empirical Comparison of Mutant Selection Assessment Metrics

Project: EPIC

Updated at: 27-04-2024

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Project acronym EPIC

Automatic Testing and Improvement of Machine Translation

Project: EPIC

Updated at: 27-04-2024

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Project acronym EPIC

Do Pseudo Test Suites Lead to Inflated Correlation in Measuring Test Effectiveness?

Project: EPIC

Updated at: 27-04-2024

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Project acronym EPIC

App Store Effects on Software Engineering Practices

Project: EPIC

Updated at: 27-04-2024

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Project acronym EPIC

Privileged and Unprivileged Groups: An Empirical Study on the Impact of the Age Attribute on Fairness

Project: EPIC

Updated at: 27-04-2024

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Project acronym EPIC

Machine Learning Testing: Survey, Landscapes and Horizons

Project: EPIC

Updated at: 27-04-2024

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Project acronym EPIC

How Do Android Developers Improve Non-Functional Properties of Software?

Project: EPIC

Updated at: 27-04-2024

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Project acronym EPIC

Behavioural and Structural Imitation Models in Facebook’s WW Simulation System

Project: EPIC

Updated at: 27-04-2024

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Project acronym EPIC

Measurement Challenges for Cyber Cyber Digital Twins: Experiences from the Deployment of Facebook’s WW Simulation Syst...

Project: EPIC

Updated at: 27-04-2024

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Project acronym EPIC

Cost measures matter for mutation testing study validity

Project: EPIC

Updated at: 27-04-2024

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Project acronym EPIC

Learning From Mistakes: Machine Learning Enhanced Human Expert Effort Estimates

Project: EPIC

Updated at: 27-04-2024

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Project acronym EPIC

A Versatile Dataset of Agile Open Source Software Projects

Project: EPIC

Updated at: 27-04-2024

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Project acronym EPIC

Diversifying Focused Testing for Unit Testing

Project: EPIC

Updated at: 27-04-2024

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Project acronym EPIC

A Study of Bug Resolution Characteristics in Popular Programming Languages

Project: EPIC

Updated at: 27-04-2024

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Project acronym EPIC

Enhancing Genetic Improvement of Software with Regression Test Selection

Project: EPIC

Updated at: 27-04-2024

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Project acronym EPIC

Machine Learning Testing: Survey, Landscapes and Horizons

Project: EPIC

Updated at: 27-04-2024

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Project acronym EPIC

A new approach to distribute MOEA pareto front computation

Project: EPIC

Updated at: 27-04-2024

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Project acronym EPIC

Green AI: Do Deep Learning Frameworks Have Different Costs?

Project: EPIC

Updated at: 27-04-2024

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Project acronym EPIC

Refining Fitness Functions for Search-Based Automated Program Repair: A Case Study with ARJA and ARJA-e

Project: EPIC

Updated at: 27-04-2024

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Project acronym EPIC

MuDelta: Delta-Oriented Mutation Testing at Commit Time

Project: EPIC

Updated at: 27-04-2024

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Project acronym EPIC

Optimising word embeddings with search-based approaches

Project: EPIC

Updated at: 27-04-2024

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Project acronym EPIC

Multi-objective Software Effort Estimation: A Replication Study

Project: EPIC

Updated at: 27-04-2024

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Project acronym EPIC

Investigating the Effectiveness of Clustering for Story Point Estimation

Project: EPIC

Updated at: 27-04-2024

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Project acronym EPIC

CROP - linking code reviews to source code changes

Project: EPIC

Updated at: 27-04-2024

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Project acronym EPIC

A Review of Ten Years of the Symposium on Search-Based Software Engineering

Project: EPIC

Updated at: 27-04-2024

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Project acronym EPIC

From Start-ups to Scale-ups: Opportunities and Open Problems for Static and Dynamic Program Analysis

Project: EPIC

Updated at: 27-04-2024

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Project acronym EPIC

Detecting Trivial Mutant Equivalences via Compiler Optimisations

Project: EPIC

Updated at: 27-04-2024

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Project acronym EPIC

Resources

Selected filters:

Periodic Reporting for period 4 - EPIC (Evolving Program Improvement Collaborators)

Some challenges for software testing research (invited talk paper)

The importance of accounting for real-world labelling when predicting software vulnerabilities

An Empirical Comparison of Mutant Selection Assessment Metrics

Automatic Testing and Improvement of Machine Translation

Do Pseudo Test Suites Lead to Inflated Correlation in Measuring Test Effectiveness?

App Store Effects on Software Engineering Practices

Privileged and Unprivileged Groups: An Empirical Study on the Impact of the Age Attribute on Fairness

Machine Learning Testing: Survey, Landscapes and Horizons

How Do Android Developers Improve Non-Functional Properties of Software?

Behavioural and Structural Imitation Models in Facebook’s WW Simulation System

Measurement Challenges for Cyber Cyber Digital Twins: Experiences from the Deployment of Facebook’s WW Simulation Syst...

Cost measures matter for mutation testing study validity

Learning From Mistakes: Machine Learning Enhanced Human Expert Effort Estimates

A Versatile Dataset of Agile Open Source Software Projects

Diversifying Focused Testing for Unit Testing

A Study of Bug Resolution Characteristics in Popular Programming Languages

Enhancing Genetic Improvement of Software with Regression Test Selection

Machine Learning Testing: Survey, Landscapes and Horizons

A new approach to distribute MOEA pareto front computation

Green AI: Do Deep Learning Frameworks Have Different Costs?

Refining Fitness Functions for Search-Based Automated Program Repair: A Case Study with ARJA and ARJA-e

MuDelta: Delta-Oriented Mutation Testing at Commit Time

Optimising word embeddings with search-based approaches

Multi-objective Software Effort Estimation: A Replication Study

Investigating the Effectiveness of Clustering for Story Point Estimation

CROP - linking code reviews to source code changes

A Review of Ten Years of the Symposium on Search-Based Software Engineering

From Start-ups to Scale-ups: Opportunities and Open Problems for Static and Dynamic Program Analysis

Detecting Trivial Mutant Equivalences via Compiler Optimisations