A Proposed Method of Machine Learning based Framework for Software Product Line Testing

Author:

Saini Ashish1,Rajkumar 2,Kumari Amrita1,Kumar Satender1

Affiliation:

1. Quantum University,Dept. of Computer Science and Engineering,Roorkee,India

2. Gurukul Kangri Vishwavidyalaya,Dept. of Computer Science and Engineering,Haridwar,India

Publisher

IEEE

Reference14 articles.

1. System-Level Test Case Prioritization Using Machine Learning

2. Optimizing search engines using clickthrough data

3. Prioritizing test cases for regression testing

4. Software testing optimization through test suite reduction using fuzzy clustering

5. FAMA: Tooling a Framework for the Automated Analysis of Feature Models;benavides;Proc First International Workshop on Variability Modelling of Software intensive Systems,2007

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1. Exploring the Use of Software Product Lines for the Combination of Machine Learning Models;28th ACM International Systems and Software Product Line Conference;2024-09-02

2. An Energy-efficient Ferry-based Routing Algorithm for Scattered FANET Networks;2023 International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES);2023-04-28

3. Exploratory Testing of Software Product Linesusing Distance Metrics;2023 International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES);2023-04-28

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