Test Case Generation and Optimization using UML Models and Genetic Algorithm

Khurana, Namita; Chillar, R. S

doi:10.1016/j.procs.2015.07.502

Cited by 23 publications

(17 citation statements)

References 7 publications

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“…The techniques presented in Wang and Zheng, Sokenou, Kansomkeat et al, and Li and Maibaum do not use any intermediate form. The variants of graphs used in different techniques are polymorphism class object method acyclic graph (PECOMDAG), system testing graph, sequence diagram graph, activity‐sequence graph, sequence interaction graph, test model graph, concurrent control flow graph, extended variable assignment graph (EVAG), and structured composite graph …”

Section: Resultsmentioning

confidence: 99%

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A systematic mapping of test case generation techniques using UML interaction diagrams

Minhas

Masood

Petersen

et al. 2019

J Software Evolu Process

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Model‐based test case generation techniques provide a mechanism to derive tests systematically. This study provides a systematic mapping of test case generation techniques based on UML 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. We can conclude that the studies presenting test case generation techniques using UML interaction diagrams were not following the guidelines for research methods (eg, case studies or experiments). Solutions were not empirically evaluated in industrial contexts. Our study revealed that better tool support is needed to introduce the UML interaction diagram–based test case generation techniques in the industry.

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Section: Resultsmentioning

confidence: 99%

“…The first step to test software automatically is to describe its behavior or structure either statically or dynamically by using UML models . By means of UML models, practitioners may perform unit, integration, system, and conformance testing …”

Section: Introductionmentioning

confidence: 99%

A systematic mapping of test case generation techniques using UML interaction diagrams

Minhas

Masood

Petersen

et al. 2019

J Software Evolu Process

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“…The three metrics: number of test cases, total time and percentage of the specification scope of critical domain. Optimization -UML Models and GA This paper [16 ] proposes a method for generating test cases by combining UML sequence diagram with state diagram representing the code specifications applicable to a system, this approach converts sequence diagram into sequence diagram and converts state diagram into state diagram map. Through combining the two graphs, the System testing graph (SYTG) is created.…”

Section: Fig3 -2d-5a-4dmentioning

confidence: 99%

Test Case Generation Process using Soft Computing Techniques

2019

IJITEE

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Software testing is the SDLC's important and most expensive step. Software testing is difficult and time-consuming work requiring a great deal of money for software development. Testing is both an operation that is static and adaptive. Software testing process deals with the creation of test cases, checking and validating either passed or failed test cases. It is unidealistic to check only the discerning parts of the material as a whole at once. It is not possible to test the whole system once, so selected parts of the code are considered for analysis. Since the input space of the Product Under Test (PUT) can be very large, it is important to analyze a representative subset of test cases. During software testing, the most important task is to build appropriate test cases. An effective set of test cases can detect more errors. Software testing always requires high deficiencies. Test cases are constructed using the test data. In the automation of software testing, the important task is to generate test data according to a given level of competence. The improved test data are determined using the test case development methodology and the test data adequacy criterion being applied. For increase the level of automation and performance, these aspects of test case development need to be studied. This paper studies the various test case generation techniques using soft computing techniques like Genetic Algorithm, Artificial Bee colony methods. Further an evaluation criterion for the test case generation process, empirical study of Code Coverage and its importance is discussed.

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“…Evolutionary algorithm described in [7] works in paralel by searching each subset and this approach increases the speed of finding a solution. The position [13] presents a strategy in which the UML diagram is joined with SD diagram (Sequence diagram) that is a sequence of instructions executed to allow access to the target (in this case the node in the graph). The problem concerns the indication of such path (actions which shall be carried out during the tests), which should be tested in the first.…”

Section: Review Of Selected Evolutionary Strategies In the Test Data mentioning

confidence: 99%

Benefits of an Application of Evolutionary Strategy in the Process of Test Data Generation

Żukowicz

2016

Management Systems in Production Engineering

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The aim of the article is to highlight the advantages that can be obtained through the use of evolutionary strategy in software testing, specifically in the process of test data generation. The first chapter introduces the reader to the topic of the article. Presents information of the problem of software quality, test data fitness and quality criteria. The second chapter provides an overview of the publication in which is described the test data generation problem by using evolutionary strategies. In this chapter there are presented, different approaches to address the optimization problem of test data selection. The third chapter sets out the advantages which in the opinion of the author result from the application of evolutionary strategy in the process of test data generation. In this section have been drawn conclusions from the article, from books listed in the bibliography. The author of the article presents advantages of evolutionary strategy too as a person, which tests a software in practise. The last chapter in addition to summaries and conclusions, proposes the author to suggest in which issues related to testing could be used evolutionary strategies.

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Test Case Generation and Optimization using UML Models and Genetic Algorithm

Cited by 23 publications

References 7 publications

A systematic mapping of test case generation techniques using UML interaction diagrams

A systematic mapping of test case generation techniques using UML interaction diagrams

Test Case Generation Process using Soft Computing Techniques

Benefits of an Application of Evolutionary Strategy in the Process of Test Data Generation

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