Bio Inspired Approach for Generating Test data from User Stories | Zendy

Et. al. A.Tamizharasi | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Bio Inspired Approach for Generating Test data from User Stories

Author(s) -

Et. al. A.Tamizharasi

Publication year - 2021

Publication title -

türk bilgisayar ve matematik eğitimi dergisi

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.218

H-Index - 3

ISSN - 1309-4653

DOI - 10.17762/turcomat.v12i2.826

Subject(s) - computer science , agile software development , automation , test (biology) , task (project management) , process (computing) , test management approach , software engineering , test case , model based testing , user story , software , test data , data mining , artificial intelligence , machine learning , software development , programming language , systems engineering , software construction , engineering , mechanical engineering , paleontology , regression analysis , biology

In Agile model where the software prototypes are developed frequently and also rapidly, testing becomes more critical. Generating an effective Test case for complex system is a challenging task involved in software testing. The major research challenge in this area includes the test case generation with limited resources, identifying the essential functional requirement that plays a crucial role and automation of the test case generation process. To solve this issue, a hybridized bio inspired approach is proposed to generate test cases from the user stories which accepts the business requirements as input, processed using NLP and develop functional test cases from it. The proposed algorithm is compared with other existing algorithms and the experimental results proved that the proposed algorithm is more efficient in many cases.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research