Open AccessTEST COVERAGE ENHANCEMENT USING HYBRID MODULAR APPROACH FOR WEB BASED APPLICATION
Author(s) -
R Roopesh,
S Manimala
Publication year - 2021
Publication title -
international journal of engineering applied science and technology
Language(s) - English
Resource type - Journals
ISSN - 2455-2143
DOI - 10.33564/ijeast.2021.v06i01.065
Subject(s) - computer science , test script , automation , modular design , scripting language , manual testing , web testing , web application , test management approach , white box testing , software engineering , keyword driven testing , process (computing) , test harness , test case , software , data mining , programming language , software development , machine learning , web development , software construction , operating system , engineering , web service , web application security , mechanical engineering , regression analysis
Automation testing may be a process thatcompares the particular results to the specified outcomewithin the software application. Automation testing is oneof the foremost effective ways to check web-basedapplications since it allows you to hide more scenarios inless time. Selenium is one every of the foremost popularand effective automation frameworks that have beenwidely used for automating the testing of applications. Themodular testing framework is one of the techniques usedfor automated testing, in which test scripts are built bybreaking down the entire application into smaller pieces.Multiple data sets cannot be used thanks to hardcodeddata within the test scripts. In this paper, a hybridapproach of keyword-data driven strategy is presented, inwhich the test data and script are separated to allow forvarious datasets and greater coverage. Furthermore, forimproved test coverage, this split procedure is used acrossmany modules.