Improving the Reliability of the Automation Framework based on Code Coverage Analysis
Journal: International Journal of Science and Research (IJSR) (Vol.4, No. 5)Publication Date: 2015-05-05
Authors : Snehalata Giraddi; Merin Meleet;
Page : 2439-2441
Keywords : JaCoCo; Code coverage; SonarQube; Cobertura; Bytecode;
Abstract
Software testing is one of the challenging tasks to select the test inputs. Code coverage is a testing methodology used to measure the quality of software testing. The objective of code coverage is to ensure the adequateness of testing by providing data on different code coverage items. Code coverage is a feedback mechanism for agile development or test-driven methodologies. Both of these methods depend on a developmental feedback that stimulates the addition of features while managing a predictable quality level. The proposed study suggests that the code coverage anticipations on the test cases effectiveness that professional software developers write. By having a look at the existing methods, uncovered measurement of code coverage and gaps can be explored further.
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