scholarly journals Evaluation of Software Product Line Test Case Prioritization Technique

2017 ◽  
Vol 7 (4-2) ◽  
pp. 1601
Author(s):  
Muhammad Sahak ◽  
Shahliza Abd Halim ◽  
Dayang Norhayati Abang Jawawi ◽  
Mohd Adham Isa
Keyword(s):  
Software Product Line ◽  
Product Line ◽  
Test Case ◽  
Test Case Prioritization ◽  
Software Product ◽  
Line Test

scholarly journals SIMILARITY DISTANCE MEASURE AND PRIORITIZATION ALGORITHM FOR TEST CASE PRIORITIZATION IN SOFTWARE PRODUCT LINE TESTING

2018 ◽  
Author(s):  
Shahliza Abd Halim ◽  
Dayang Norhayati Abang Jawawi ◽  
Muhammad Sahak
Keyword(s):  
Fault Detection ◽  
Distance Measure ◽  
Software Product Line ◽  
Product Line ◽  
Test Case ◽  
Test Cases ◽  
Test Case Prioritization ◽  
Software Product ◽  
String Distance ◽  
Similarity Distance

To achieve the goal of creating products for a specific market segment, implementation of Software Product Line (SPL) is required to fulfill specific needs of customers by managing a set of common features and exploiting the variabilities between the products. Testing product-by-product is not feasible in SPL due to the combinatorial explosion of product number, thus, Test Case Prioritization (TCP) is needed to select a few test cases which could yield high number of faults. Among the most promising TCP techniques is similarity-based TCP technique which consists of similarity distance measure and prioritization algorithm. The goal of this paper is to propose an enhanced string distance and prioritization algorithm which could reorder the test cases resulting to higher rate of fault detection. Comparative study has been done between different string distance measures and prioritization algorithms to select the best techniques for similarity-based test case prioritization. Identified enhancements have been implemented to both techniques for a better adoption of prioritizing SPL test cases. Experiment has been done in order to identify the effectiveness of enhancements done for combination of both techniques. Result shows the effectiveness of the combination where it achieved highest average fault detection rate, attained fastest execution time for highest number of test cases and accomplished 41.25% average rate of fault detection. The result proves that the combination of both techniques improve SPL testing effectiveness compared to other existing techniques.  

An Introductory Study on an Architecture-Based Software Product Line Test Generation Method

2019 ◽  
Vol 29 (08) ◽  
pp. 1071-1089
Author(s):  
Jihyun Lee
Keyword(s):  
Test Generation ◽  
Software Product Line ◽  
Product Line ◽  
Multiple Products ◽  
Product Line Architecture ◽  
Testing Stage ◽  
Software Product ◽  
Implementation Under Test ◽  
Line Test ◽  
Large Systems

Architecture-based testing allows test engineers to focus on the structure of complicated software and the interactions between software components that constitute the architecture of a software product. By observing and controlling the connections and interactions between components of complex or large systems during software testing, architecture-based testing can detect and localize such faults at those locations. The complexity of software product line testing is high because an implementation under test contains variability given the different binding times and is used by multiple products. This paper introduces how architecture-based testing is applied to test generation for a software product line and examines the strengths of the proposed method against existing software product line testing methods. The paper also illustrates the use of product line architecture and architectural artifacts to generate product line interaction tests. It was found that architecture-based testing can be applied to software product line test generation by tailoring it to deal with variability and product-line specific processes. The results of a comparison with existing methods show that architecture-based software product line test generation provides better capabilities in terms of variability in the testing stage, the explicit formation and application of binding, test coverage, and architectural awareness.

Software Product Line Testing Based on Feature Model Mutation

2017 ◽  
Vol 27 (05) ◽  
pp. 817-839 ◽  
Author(s):  
Johnny Maikeo Ferreira ◽  
Silvia Regina Vergilio ◽  
Marcos Quinaia
Keyword(s):  
Software Product Line ◽  
Product Line ◽  
Experimental Results ◽  
Feature Model ◽  
Test Case ◽  
Test Cases ◽  
Mutation Operators ◽  
Software Product ◽  
Pairwise Testing ◽  
Feature Management

The Feature Model (FM) is a fundamental artifact of the Software Product Line (SPL) engineering, used to represent commonalities and variabilities, and also to derive products for testing. However, the test of all features combinations (products) is not always possible in practice. Due to the growing complexity of the applications, only a subset of products is usually selected. The selection is generally based on combinatorial testing, to test features interactions. This kind of selection does not consider different classes of faults that can be present in the FM. The application of a fault-based approach, such as mutation-based testing, can increase the probability of finding faults and the confidence that the SPL products match the requirements. Considering that, this paper introduces a mutation approach to select products for the feature testing of SPLs. The approach can be used similarly to a test criterion in the generation and assessment of test cases. It includes (i) a set of mutation operators, introduced to describe typical faults associated to the feature management and to the FM; and (ii) a testing process to apply the operators. Experimental results show the applicability of the approach. The selected test case sets are capable to reveal other kind of faults, not revealed in the pairwise testing.

Sign in / Sign up

Export Citation Format

Share Document