Reducing Redundant Test Executions in Software Product Line Testing—A Case Study

Jung, Pilsu; Kang, Sungwon; Lee, Jinhyun

doi:10.3390/electronics11071165

Cited by 5 publications

(3 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Most of them are about a selection of products to test [18,22]. Jung [23] tracks execution traces for the purpose of avoiding redundant testing by checking whether each test case covers the same code units. However, the method of this study is applicable to system testing rather than integration testing.…”

Section: Related Workmentioning

confidence: 99%

An Experimental Evaluation of Path-Based Product Line Integration Testing and Test Coverage Metrics

Lee

2023

Applied Sciences

Self Cite

View full text Add to dashboard Cite

Product line testing is significant because any faults in a product line platform can lead to widespread impacts on multiple products configured from that platform within a product line. Due to the shared platform, certain testing can be repeatedly performed across different products, leading to unnecessary costs. To enhance quality and reduce costs in product line testing, it is essential to minimize redundant testing of the products in a product line. Because test coverage provides a way to explicitly state the extent to which a software item has been tested, having a clear understanding of test coverage helps avoid unnecessary repetition of tests and ensures that the testing efforts are focused on areas that require attention, ultimately leading to more efficient and effective product line testing. It is necessary to define appropriate test coverage metrics of product line testing that enable testers to identify redundancies in their testing efforts. Path-based integration testing has been proven to be an effective approach to product line integration testing. This paper defines coverage metrics for path-based product line integration testing and demonstrates their effectiveness in preventing redundant testing between platform testing and testing for individual products, while also effectively detecting faults. The experiment results highlight the coverage metrics’ effectiveness in avoiding redundant testing, reducing costs, and covering interfacing across different modules.

show abstract

Section: Related Workmentioning

confidence: 99%

An Experimental Evaluation of Path-Based Product Line Integration Testing and Test Coverage Metrics

Lee

2023

Applied Sciences

Self Cite

View full text Add to dashboard Cite

show abstract

“…The author concludes that the new standards for making input values, writing the generated test suites, and specifying test coverage criteria will encourage test case generators to apply them for delivering the testing tools that can be used easily as quality assurance components. Jung et al [20] developed a model to reduce redundant test executions during the testing of a software project.…”

Section: Related Workmentioning

confidence: 99%

BW-TOPSIS: A Hybrid Method to Evaluate Software Testing Techniques

Kumar

Kaur

2022

JCOMSS

View full text Add to dashboard Cite

Software testing plays a significant role in various software development phases. There are so many software testing techniques available. Selecting the most suitable software testing technique based on multiple factors is challenging for software practitioners. This paper proposes an MCDM-based hybrid approach for selecting the most appropriate software testing technique among various available software testing techniques, considering multiple factors such as cost, schedule, resources, etc. Because of the involvement of multiple factors, the problem of selecting the most appropriate software testing technique can be modeled as an MCDM problem. This study proposes a hybrid approach by integrating two MCDM methods BWM (Best-Worst Method) and TOPSIS (Technique for Order Preference by Similarity to Ideal Solution), for evaluating various software testing techniques considering multiple factors altogether. For the applicability of the proposed approach, an experimental study was conducted using seven software testing techniques and six evaluation criteria. Results show the proposed approach can be used as an efficient tool for selecting the most suitable software testing technique among various available testing techniques in the presence of multiple factors.

show abstract

“…Jung et al [14] provided a workable process for implementing the software product line (SPL) testing strategy as well as a formula that enhances our earlier technique to reduce the superfluous tracing of test executions and recurrence of test executions. SPL testing may be completed more rapidly with this method.…”

Section: Introductionmentioning

confidence: 99%

An efficient test suit reduction methodology for regression testing

Gupta,

Choudhary

2024

IJEECS

View full text Add to dashboard Cite

<span lang="EN-US">This paper's goal is to provide a more effective algorithm for reducing the amount of test cases in a test suit during the regression testing phase. This algorithm divide the entire test suit into equivalence classes in first step and then apply boundary value coverage to select test case out of repeated test cases which has same importance in test suit. This algorithm is based on the concept that before selecting best test cases out of repeated test case in test suit to prepare reduced test suit we can divide all test cases in number of equivalence classes so number of test case under consideration reduced by great extend. This paper proposed a method of experimentation involving test cases from different software application areas; minimization algorithms and the maths and algorithms of minimization algorithms in details. Test case techniques are equivalence portioning and boundary value analysis. Along with this concept, I also discuss a case study to verify and check new algorithm for its efficiency, for that I apply my algorithm on one of the program or group of program. This complete proposed methodology shall be applied to different software applications belonging to soft computing, Engineering software, Financial Software, Cloud Applications, Business Applications, AI and Machine Learning, Data Analytics are being identified. This selection has been made keeping in mind the trends, industrial importance, economic values and research challenges. Minimization in test cases would lead to lesser testing effort and desirable test completion.</span>

show abstract

Reducing Redundant Test Executions in Software Product Line Testing—A Case Study

Cited by 5 publications

References 43 publications

An Experimental Evaluation of Path-Based Product Line Integration Testing and Test Coverage Metrics

An Experimental Evaluation of Path-Based Product Line Integration Testing and Test Coverage Metrics

BW-TOPSIS: A Hybrid Method to Evaluate Software Testing Techniques

An efficient test suit reduction methodology for regression testing

Contact Info

Product

Resources

About