Open-Source Java Code Coverage using Source and Byte Code Instruments: An Experimental Analysis

Volume 20 No 7 (2022)

Varuna Gupta, Shilpa Srivastava

DOI: 10.14704/nq.2022.20.7.NQ33232

Abstract

The software testers inherently face the challenges of code coverage while designing test cases. Code Coverage is a measurement of how many lines, statements, or blocks of your code are tested using your suite of automated tests. The software testers remain committed to cover the full code and ensure quality outputs from the test suite.

Keywords

– Software engineering, Quality Assurance, open source software, Code Coverage, EMMA, JaCoCo, CodeCover, Clover

Copyright © Neuroquantology

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Articles published in the Neuroquantology are available under Creative Commons Attribution Non-Commercial No Derivatives Licence (CC BY-NC-ND 4.0). Authors retain copyright in their work and grant IJECSE right of first publication under CC BY-NC-ND 4.0. Users have the right to read, download, copy, distribute, print, search, or link to the full texts of articles in this journal, and to use them for any other lawful purpose.