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A Systematic Mapping of Test Case Generation Techniques Using UML Interaction Diagrams
Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för programvaruteknik.
UIIT PMAS Arid Agriculture University, PAK.
Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för programvaruteknik.
Capital University of Science and Technology, PAK.
2018 (engelsk)Inngår i: Journal of Software: Evolution and Process, ISSN 2047-7473, E-ISSN 2047-7481Artikkel i tidsskrift (Fagfellevurdert) Accepted
Abstract [en]

Testing plays a vital role for assuring software quality. Among the activities performed during testing process, test cases generation is a challenging and labor intensive task. Test case generation techniques based on UML models are getting the attention of researchers and practitioners. This study provides a systematic mapping of test case generation techniques based on interaction diagrams. The study compares the test case generation techniques, regarding their capabilities and limitations, and it also assesses the reporting quality of the primary studies. It has been revealed that UML interaction diagrams based techniques are mainly used for integration testing. The majority of the techniques are using sequence diagrams as input models, while some are using collaboration. A notable number of techniques are using interaction diagram along with some other UML diagram for test case generation. These techniques are mainly focusing on interaction, scenario, operational, concurrency, synchronization and deadlock related faults.

From the results of this study, we can conclude that the studies presenting test case generation techniques using UML interaction diagrams failed to illustrate the use of rigorous methodology, and these techniques did not demonstrate the empirical evaluation in an industrial context. Our study revealed the need for tool support to facilitate the transfer of solutions to industry.

sted, utgiver, år, opplag, sider
John Wiley & Sons, 2018.
Emneord [en]
Software testing, Test case generation, Interaction diagrams, Model based testing, Systematic mapping
HSV kategori
Identifikatorer
URN: urn:nbn:se:bth-17363OAI: oai:DiVA.org:bth-17363DiVA, id: diva2:1267008
Prosjekter
EASE - Embedded Applications Software Engineering
Forskningsfinansiär
Vinnova, 2015-03235Tilgjengelig fra: 2018-11-30 Laget: 2018-11-30 Sist oppdatert: 2019-10-08bibliografisk kontrollert
Inngår i avhandling
1. Regression Testing Challenges and Solutions: An Industry-Academia Perspective
Åpne denne publikasjonen i ny fane eller vindu >>Regression Testing Challenges and Solutions: An Industry-Academia Perspective
2019 (engelsk)Licentiatavhandling, med artikler (Annet vitenskapelig)
Abstract [en]

Background: Software quality assurance (QA) is an essential activity in the software development lifecycle. Among the different QA activities, regression testing is a challenging task for large-scale software development. Regression testing is a well-researched area, and a large number of techniques have been proposed to fulfill the needs of industry. Despite the extensive research, the adoption of proposed regression testing techniques in the industry is limited. Studies show that there is a visible gap between research and practice.

Objective: This work aims at reducing the gap between industry and academia in regression testing. To fulfill this aim we have the following objectives:

1) Understanding the practitioners' goals regarding regression testing.

2) Understanding the current state of regression testing practice and challenges in the industry.

3) Investigating the testing research applicable in an industrial context.

Method: We conducted multiple studies using different methods.

To explore the industry perspective on regression testing we used focus group and interview-based studies. To explore solutions from the literature, we used the systematic literature review and systematic mapping study.

Results: This thesis presents the practitioners' specific regression testing goals. The identified goals are confidence, controlled fault slippage, effectiveness, efficiency, and customer satisfaction. The challenges identified in the thesis are of two categories, 1) management related challenges and 2) technical challenges. Technical challenges relate to test suite maintenance, test case selection, test case prioritization, evaluation of regression testing.

We have mapped 26 empirically evaluated regression testing techniques to the context, effect, and information taxonomies, and provided a guide to the practitioners regarding the adoption of the techniques in an industrial setting. We have also classified 56 model-based test case generation techniques regarding their strengths/limitations, input/intermediate models used, and relevance to the industrial context.

Conclusions: The challenges identified in this study are not new for research and practice. There could be two reasons regarding the presence of recurring challenges: 1) regression testing techniques proposed in the literature do not fit the companies’ context, 2) or, companies are not aware of the availability of the techniques that could be suitable for their context. To support the adoption of existing research on regression testing in the industry, we have presented three taxonomies. These taxonomies, allow the characterization of regression testing techniques and enable to determine which of these techniques might be suitable in a given context. Furthermore, the identification of information needs for these techniques would be helpful to learn the implications regarding the cost of adoption. Regarding the support in test case generation, we conclude that current research on interaction model-based test case generation techniques did not illustrate the use of rigorous methodology, and currently, model-based test case generation techniques have low relevance for the industrial problems.

sted, utgiver, år, opplag, sider
Karlskrona, Sweden: Blekinge Tekniska Högskola, 2019. s. 146
Serie
Blekinge Institute of Technology Licentiate Dissertation Series, ISSN 1650-2140 ; 2
HSV kategori
Identifikatorer
urn:nbn:se:bth-17381 (URN)978-91-7295-365-9 (ISBN)
Presentation
2019-01-08, J1650, Campus Gräsvik, Karlskrona, 14:00 (engelsk)
Opponent
Veileder
Forskningsfinansiär
VINNOVA, 2015-03235
Tilgjengelig fra: 2018-12-06 Laget: 2018-12-05 Sist oppdatert: 2019-01-17bibliografisk kontrollert

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