Prioritization of regression tests according to the time-varying impact of historical error detection rates

Title Prioritization of regression tests according to the time-varying impact of historical error detection rates
Author Kurt, D., Sözer, Hasan
Publication Date: 2014
Publication Place - CEUR-WS
Type Document
Language Turkish
Digital Yes
Manuscript No
Library: Özyeğin University
Library Asset ID 1613-0073
Record ID cccd559a-1ea5-4ef3-bdeb-a02842bfaaad
Library Location Computer Science
Date 2014
Sample Text Regression testing of large-scale software systems is costly. Due to resource constraints, it is often not possible to evaluate all test cases. Therefore, it is necessary to prioritize test cases to detect errors as quickly as possible. In this work, we propose a method for prioritizing test cases based on analysis of the amount of errors detected in the past. The extent to which this analysis focuses on the recent or distant past can be adapted as a parameter of the method. We compared the effectiveness of the resulting rankings by prioritizing regression tests for a digital TV software with various parameter values. We have seen that our method allows us to obtain more effective rankings in terms of error detection rate compared to the current ranking.
Cilt 1221
View in source Özyeğin University Özyeğin University - Ottoman library catalog search
Özyeğin University - Ottoman library catalog search Özyeğin University

Prioritization of regression tests according to the time-varying impact of historical error detection rates

Author Kurt, D., Sözer, Hasan
Publication Date 2014
Publication Place - CEUR-WS
Type Document
Language Turkish
Digital Yes
Manuscript No
Library Özyeğin University
Library Asset ID 1613-0073
Record ID cccd559a-1ea5-4ef3-bdeb-a02842bfaaad
Library Location Computer Science
Date 2014
Sample Text Regression testing of large-scale software systems is costly. Due to resource constraints, it is often not possible to evaluate all test cases. Therefore, it is necessary to prioritize test cases to detect errors as quickly as possible. In this work, we propose a method for prioritizing test cases based on analysis of the amount of errors detected in the past. The extent to which this analysis focuses on the recent or distant past can be adapted as a parameter of the method. We compared the effectiveness of the resulting rankings by prioritizing regression tests for a digital TV software with various parameter values. We have seen that our method allows us to obtain more effective rankings in terms of error detection rate compared to the current ranking.
Cilt 1221
Özyeğin University - Ottoman library catalog search
Özyeğin University You are being redirected...

Please wait