• Journal of Software Engineering Society
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• v.29 no.2
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• pp.1-6
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• 2020

Software product line development is a development paradigm that efficiently develops a product family by avoiding redundant development based on separation of the common part and the variable part of the product family. In software product line development, the source code that is used to produce a product family is called a product line code base, and when the product line code base is changed and the products of the product family are affected by the change, the activity of testing the affected products is called a product line regression testing. For product line regression testing, instead of conducting regression testing individually on each product of the product family, a more efficient regression testing would be possible if unnecessary testing that are irrelevant to the change can be avoided. This paper introduces SRTS, which is an automated method to efficiently perform software product line regression testing. SRTS divides the product line code base and test cases based on commonality and variability. Then SRTS identifies and selects the test cases affected by the change. Finally, it reduces unnecessary testing by rerunning only the selected test cases.

• KIPS Transactions on Software and Data Engineering
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• v.11 no.7
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• pp.273-282
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• 2022

Testing approaches for configurable software product lines differs significantly from a single software testing, as it requires consideration of common parts used by all member products of a product line and variable parts shared by some or a single product. Test coverage is a measure of the adequacy of testing performed. Test coverage measurements are important to evaluate the adequacy of testing at the software product line level, as there can be hundreds of member products produced from configurable software product lines. This paper proposes a method for measuring code coverage at the product line level in configurable software product lines. The proposed method tests the member products of a product line after hierarchizing member products based on the inclusion relationship of the selected features, and quantifies SPL(Software Product Line) test coverage by synthesizing the test coverage of each product. As a result of applying the proposed method to 11 configurable software product line cases, we confirmed that the proposed method could quantitatively visualize how thoroughly the SPL testing was performed to help verify the adequacy of the SPL testing. In addition, we could check whether the newly performed testing for a member product covers the newly added code parts of a feature.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.3
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• pp.932-951
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• 2021

The effectiveness of testing in Model-based Testing (MBT) for Software Product Line (SPL) can be achieved by considering fault detection in test case. The lack of fault consideration caused test case in test suite to be listed randomly. Test Case Prioritization (TCP) is one of regression techniques that is adaptively capable to detect faults as early as possible by reordering test cases based on fault detection rate. However, there is a lack of studies that measured faults in MBT for SPL. This paper proposes a Test Case Prioritization (TCP) approach based on dissimilarity and string based distance called Last Minimal for Local Maximal Distance (LM-LMD) with Dice-Jaro-Winkler Dissimilarity. LM-LMD with Dice-Jaro-Winkler Dissimilarity adopts Local Maximum Distance as the prioritization algorithm and Dice-Jaro-Winkler similarity measure to evaluate distance among test cases. This work is based on the test case generated from statechart in Software Product Line (SPL) domain context. Our results are promising as LM-LMD with Dice-Jaro-Winkler Dissimilarity outperformed the original Local Maximum Distance, Global Maximum Distance and Enhanced All-yes Configuration algorithm in terms of Average Fault Detection Rate (APFD) and average prioritization time.

• Journal of the Korean Society of Clothing and Textiles
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• v.25 no.6
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• pp.1100-1111
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• 2001

The purpose of this study was to develop fashion On-line store attributes for fashion On-line shopping mall and to identify significant On-line store attributes, influencing consumers'purchase intention of interned fashion product shopping. A questionnaire was administered to 456 adults who had purchasing experience at fashion On-line shopping mall. SPSS 9.0 package was used for data analysis. Factor analysis, $X^2-test$, t-test, frequency, percentage, one-way ANOVA, multiple regression analysis were utilized. The results were as follows; 1. The On-line store attribute dimensions of fashion On-line shopping mall were tangibility, variety, marketing promotion, responsiveness, reputation, price and convenience. 2. The purchase experienced consumers showed higher purchase intention of Internet fashion product shopping and highly perceived about all sub-factors, except reputation. in On-line store attributes that have significantly positive influence on fashion On-line shopping attitudes. The purchase experienced consumers showed more favorable attitudes toward Fashion On-line shopping than non purchase experienced consumers. Attitudes toward Fashion On-line shopping have directly impact on purchase intention of Internet fashion product shopping.

• Journal of KIISE:Software and Applications
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• v.41 no.7
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• pp.469-480
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• 2014

Software Product Line (SPL) is a software development paradigm that guarantees high productivity, reduced cost, and shorter time-to-market by systematically planning and reusing commonality and variability. In order to maximize the benefits of SPL engineering, testing should be integrated into the SPL engineering lifecycle processes that consist of domain engineering and application engineering and should be performed with as little test efforts as possible. This paper proposes a systematic software product line test cases derivation method using combinatorial test design. By applying combinatorial test design to product line test cases derivation and exploiting commonality between products at the same time, the number of generated test cases is dramatically reduced with the result that they can be effectively reused by the products of the given product line. Case studies conducted in this paper show the efficacy of our method compared with other methods that use only commonality or combinatorial design or neither of them in terms of the number of derived test cases.

• Journal of KIISE
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• v.42 no.1
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• pp.76-85
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• 2015

Software Product Line Engineering is a collection of techniques that analyze the commonalities and variabilities of the products within a product family and produce products using such information. In Software Product Line Engineering, construction of the correct core assets is very important. To accomplish this, the commonalities and variabilities must first be definitively identified, both to provide traceability between the core assets, and to guarantee the reliability of the products. This paper suggests software product line development and test processes based on CVL for the differentiation of commonalities and variabilities. The proposed approach enables correct building of the core assets through procedures to keep traceability and guarantee the reliability of the products.

• Asia Marketing Journal
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• v.21 no.2
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• pp.21-49
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• 2019

This study examines a model which simultaneously contains two paths between waiting line and purchase intention: one tested the positive effect of waiting line through consumers' perceived quality, whereas another one go through consumers' emotional state to test the negative effect of waiting line on purchase intention. To further understand perceived quality, the study divided perceived quality into perceived product quality and perceived service quality. The study used restaurants in the experiment. Results indicated that although long waits in line will directly increase both consumers' product quality perception and negative emotions, the total indirect effects on purchase intention are still significantly positive. For consumers' perceived service quality, long waiting situations have no such effect on it. Significant results from a moderation analysis also shown that consumers in low-level knowledge settings are more influenced by waiting lines than those in high-level knowledge settings when they make the product's quality-related judgment. However, the level of consumer knowledge does not moderate the relationship between waiting lines and service quality.

• Proceedings of the Korean Information Science Society Conference
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• 2001.04a
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• pp.673-675
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• 2001

본 논문에서는 Product line 개념을 활용하여 체계적으로 각 어플리케이션에 적합한 소프트웨어 테스트 프로세스를 생성할 수 있도록 하는 1)“소프트웨어 테스트 프로세스의 재사용 방안”을 제안하고, 2) 이를 자동화한 “소프트웨어 테스트 프로세스 생성 도구”프로토타입을 제시한다. “소프트웨어 테스트 프로세스의 재사용 방안”은 product line 개념에 따라 표준, 방법론과 도메인을 위한 개발 프로세스들의 공통점과 차이점을 분석하여 core asset들을 CBD개념의 컴포넌트들로 개발하고, 이 core asset들을 가지고 컴포넌트의 맞춤 패턴을 이용하여 손쉽게 각 어플리케이션에 적합한 테스트 프로세스를 생성할 수 있도록 한다. “소프트웨어 테스트 프로세스 생성도구”는 “소프트웨어 테스트 프로세스 재사용 방안”의 core asset 개발 단계에서 개발된 core asset들을 저장소에 재사용을 목적으로 저장하며, 프로덕트 개발 단계를 자동화하여 각 어플리케이션에 적합한 테스트 프로세스를 생성한다.

• Journal of the Korean Society of Clothing and Textiles
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• v.31 no.2 s.161
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• pp.206-216
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• 2007

The purpose of this study was to investigate the differences in the cosmetic purchasing behavior influenced by make-up preference images, and the orders of importance in the cosmetic store selection. The questionnaires were given to female residents in the ages between $20{\sim}45$ in Seoul and Kyung-gi province. 322 questionnaires were used for data analysis. The collected data were analyzed by using SPSS 10.0 software with various techniques such as Frequency analysis, Factor analysis, Cronbach's ${\alpha}$ reliability analysis, Paired t-test, ANOVA test and Duncan test. The results of this study were as follows: 1. After investigating how the make-up preference image influences the selection of the off-line cosmetic store, it was found out that the personal service, shopping convenience, and product composition had significant differences. 2. After investigating how the make-up preference image influences the selection of the on-line cosmetic store, it was found out that only the product composition had significant difference. 3. After studying the factors that influence the off-line cosmetic store selection, it was found that the personal service was considered most important. After studying the factors that influence the on-line cosmetic store selection, it was found that the price was considered most important.

• Journal of KIISE:Computing Practices and Letters
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• v.10 no.2
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• pp.125-133
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• 2004

In order to test reflecting the features of a development methodology and domain, it is required to tailor process standards and perform testing according to the tailored process. However, since commercial testing tools support only a part of the tailored process, it is essential to either acquire or develop testing tools appropriate for a development environment. This paper proposes a method to develop a test process execution tool which has common features of standards, and variousness in methodologies and domains. ‘Test Process Execution Tool: Test PET’ which is a test process execution tool developed adapting the concept of product line. Our Test PET generates the test process suitable for the development methodology and domain and then executes the produced test process.