An effective test case selection for software testing improvement

2015 ◽  
Author(s):  
Adtha Lawanna
Keyword(s):  
Software Testing ◽  
Test Case ◽  
Test Case Selection ◽  
Case Selection ◽  
Selection For

Design and Implementation of Test Case Selection Based on Map Reduce

2014 ◽  
Vol 654 ◽  
pp. 378-381
Author(s):  
Yu Lin Liu ◽  
Yan Wang ◽  
Jian Tao Zhou
Keyword(s):  
Cloud Computing ◽  
Software Testing ◽  
Map Reduce ◽  
Test Case ◽  
Test Cases ◽  
Large Collection ◽  
Test Case Selection ◽  
Design And Implementation ◽  
Case Selection ◽  
Hadoop Platform

In the traditional software testing, a large collection of test cases of the tested system automatically generated , in the process of actual execution, all of the test cases are executed is not possible. Normally, we test a certain function of the tested system, so choosing the test cases about a certain function is very important. This paper focuses on solving the problem of choosing test cases about a certain function of the tested system based on CPN model, the method which is based on purpose is used in this process. In the process of test cases selection, there are a whole lot of repeated calculation and operation, this characteristic just can make it combined with the parallel advantage of cloud computing. In summary, this dissertation focus on the test cases selection problem, using MapReduce programming on Hadoop platform, a test case selection tool is designed to improve the efficiency and service capabilities of test selection, the result of the experiment is consistent with the expected result.

scholarly journals A Stochastic Method for Test Case Selection in Software Testing

2020 ◽  
Vol 8 (4S5) ◽  
pp. 265-271
Keyword(s):  
Software Development ◽  
Software Testing ◽  
Test Case ◽  
Test Cases ◽  
Nsga Ii ◽  
Code Coverage ◽  
Test Case Selection ◽  
Redundant Data ◽  
Case Selection ◽  
Selection Of

The quality of the software is a very important aspect in the development of software application. In order to make sure there is the software of good quality, testing is a critical activity of software development. Thus, software testing is the activity which focuses on the computation of an attribute or the ability of either a system or program that decides if user requirements are met. There is a proper strategy for the design of software for which testing has to be adopted. The techniques of test case selection attempt at reduction of the test cases that need to be executed at the same time satisfying the needs of testing that has been denoted by the test criteria. In the time of software testing, and the resource will be the primary constraints at the time of testing since this has been a highly neglected phase in the Software Development Life Cycle (SDLC). The optimizing of a test suite is very critical for the reduction of the testing phase and also the selection of the test cases that eliminate unwanted or redundant data. All work in literature will make use of techniques of single objective optimization that does not have to be efficient as the code coverage will play an important role at the time of selection of test case. As the test case choice is Non-Deterministic, the work also proposes a novel and multi-objective algorithm like the Non-Dominated Sorting Genetic Algorithm II (NSGA II) and the Stochastic Diffusion Search (SDS) algorithm that makes use of the cost of execution and code coverage as its objective function. The results prove a faster level of convergence of the algorithm with better coverage of code in comparison to the NSGA II.

scholarly journals Multi-Objective Test Case Selection: Local Search Approaches for the NSGA-II algorithm

2020 ◽  
Author(s):  
Luciano Soares De Souza
Keyword(s):  
Local Search ◽  
Software Testing ◽  
Search Algorithms ◽  
Selection Problem ◽  
Objective Test ◽  
Test Case ◽  
Nsga Ii ◽  
Test Case Selection ◽  
Multi Objective ◽  
Case Selection

The software testing process can be very expensive and it is important to find ways in order to reduce its costs. Test case selection techniques can be used in order to reduce the amount of tests to execute and this way reducing the costs. Search algorithms are very promising approach to deal with the test case selection problem. This work proposes new hybrid algorithms for multiobjective test case selection by adding local search mechanisms into the NSGAII algorithm. The results showed that some of the mechanisms were capable of improve the NSGA-II algorithm.

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