Neural Network Based Test Case Prioritization in Software Engineering

Akshit Thakur, Er. Gitika Sharma .

ISBN 10: 1723976083 / ISBN 13: 9781723976087

Published by Independently published, 2017

About this Item

63 pages. 10.00x8.00x0.16 inches. In Stock.

Seller Inventory # 1723976083

Bibliographic Details

• Title: Neural Network Based Test Case Prioritization in Software Engineering
• Publisher: Independently published
• Publication Date: 2017
• Language: English
• ISBN 10: 1723976083
• ISBN 13: 9781723976087
• Binding: Paperback
• Condition: Brand New

About this title

Synopsis

Software testing is basically a process of comparing the actual results with the expected outcome. The main aim of testing is simple, to check the correct functionality of a system and deliver quality product to the customers. For this purpose of testing the test cases plays an important role which will help us to compare actual results with the expected one. Test case prioritization is basically a process of arranging these test cases in such a way that the fault detection rate will increase. The test case prioritization is the technique of Regression testing in which test cases are prioritized according to the changes which are done in the project. Regression testing is normally being used to retest the component of a system that verifies that defects are removed or not from the effected part of the software after modifications. If this fault detection rate will increase during the regression testing, then the feedback provided to the developer is faster and hence the rate of production and delivery of software will also increase.