State of mutation testing at google

Author:

Petrović Goran1,Ivanković Marko1

Affiliation:

1. Google Inc.

Publisher

ACM

Reference18 articles.

1. Using Mutation Analysis for Assessing and Comparing Testing Coverage Criteria

2. Go Authors. 2016. Go Slice Types. https://golang.org/ref/spec#Slice-types. (2016). Go Authors. 2016. Go Slice Types. https://golang.org/ref/spec#Slice-types. (2016).

3. Hints on Test Data Selection: Help for the Practicing Programmer

4. Hints on Test Data Selection: Help for the Practicing Programmer

5. Google Inc. 2006. gRPC: A high performance open-source universal RPC framework. https://grpc.io. (2006). Google Inc. 2006. gRPC: A high performance open-source universal RPC framework. https://grpc.io. (2006).

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1. Creating Thorough Tests for AI-Generated Code is Hard;Proceedings of the 16th Annual ACM India Compute Conference;2023-12-09

2. Contextual Predictive Mutation Testing;Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering;2023-11-30

3. Do Mutations of Strongly Subsuming Second-Order Mutants Really Mask Each Other?;2023 IEEE 34th International Symposium on Software Reliability Engineering (ISSRE);2023-10-09

4. Mind the Gap: The Difference Between Coverage and Mutation Score Can Guide Testing Efforts;2023 IEEE 34th International Symposium on Software Reliability Engineering (ISSRE);2023-10-09

5. Towards the Implementation of a Mobile Application Testing Infrastructure at Von Braun Labs;2023 IEEE 34th International Symposium on Software Reliability Engineering (ISSRE);2023-10-09

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