How to kill them all: An exploratory study on the impact of code observability on mutation testing

Research article (Journal of Systems and Software, 2020) · cited 14× · AI/ML
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How to kill them all: An exploratory study on the impact of code observability on mutation testing

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How to kill them all: An exploratory study on the impact of code observability on mutation testing is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). How to kill them all: An exploratory study on the impact of code observability on mutation testing. Retrieved May 24, 2026, from https://4ort.xyz/entity/how-to-kill-them-all-an-exploratory-study-on-the-impact-of-code-observability-on-mutation-testing
MLA “How to kill them all: An exploratory study on the impact of code observability on mutation testing.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/how-to-kill-them-all-an-exploratory-study-on-the-impact-of-code-observability-on-mutation-testing.
BibTeX @misc{4ortxyz_how-to-kill-them-all-an-exploratory-study-on-the-impact-of-code-observability-on-mutation-testing_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{How to kill them all: An exploratory study on the impact of code observability on mutation testing}}, year = {2026}, url = {https://4ort.xyz/entity/how-to-kill-them-all-an-exploratory-study-on-the-impact-of-code-observability-on-mutation-testing}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): How to kill them all: An exploratory study on the impact of code observability on mutation testing — https://4ort.xyz/entity/how-to-kill-them-all-an-exploratory-study-on-the-impact-of-code-observability-on-mutation-testing (retrieved 2026-05-24)

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