An Empirical Study of Greedy Test Suite Minimization Techniques Using Mutation Coverage-Reference-Cited by-同舟云学术

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An Empirical Study of Greedy Test Suite Minimization Techniques Using Mutation Coverage

Published:2023 Issue: Volume:11 Page:65427-65442
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Jehan Seema¹^ORCID,Wotawa Franz²^ORCID

Affiliation:

1. School of Electrical Engineering and Computer Science, National University of Sciences and Technology, Islamabad, Pakistan

2. Christian Doppler Laboratory for Quality Assurance Methods for Autonomous Cyber-Physical Systems, Institute for Software Technology, Graz of Technical University, Graz, Austria

Funder

Austrian Federal Ministry for Digital and Economic Affairs

Österreichische Nationalstiftung für Forschung, Technologie und Entwicklung

Christian Doppler Research Association

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10160008.pdf?arnumber=10160008

Reference59 articles.

1. JavaScript Instrumentation for Search-Based Software Testing: A Study with RESTful APIs

2. Mutode: generic JavaScript and Node.js mutation testing tool

3. Establishing Theoretical Minimal Sets of Mutants

4. Search Algorithms for Regression Test Case Prioritization

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Leveraging Genetic Algorithms for Efficient Search-Based Higher Order Mutation Testing;Computing and Informatics;2024

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