A Heuristic Technique for Automated Test Cases Generation from UML Activity Diagram

Shanthi, A.V.K.; Kumar, G. Mohan

doi:10.26634/jse.6.3.1787

Cited by 10 publications

(16 citation statements)

References 11 publications

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“…Out of which only one path produces an optimal result and rest six number of paths do not produce the optimal result. 2 , where ε varies from 0.1 to 0.9, this proposed paper generates and optimized the test cases as well as test data automatically through particle swarm, a bee colony and hybrid bee colony algorithm (PSBCA).In particle swarm algorithm the particle is initializing with current position and velocity. The particles keep track of personal best and global best position and update its position and velocity.In this case, the fitness functional value depends on the values of the inputted velocity and variables.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…Samuel et al [21]presented a methodology to test the object-oriented software which is based on UML sequence diagram.This paper also explained how sequence diagrams generate the test cases by using dynamic slicing technique. Shanthi et al [2] focused on the generation and optimization of test cases through sequence diagram by applying a genetic algorithm which is validated. Generating the test cases from sequence diagram extracts the information from a sequence dependency Table (SDT) and possible test path is generated.…”

Section: Related Workmentioning

confidence: 99%

“…Identify all the paths P= {path1, path 2, path3, ….., path n} from starting node to end node Assign each node in the graph based upon the importance or priority of each node in that graph Now apply PSBCA to the Activity State Chart Diagram Graph (SCSEDG) Calculate the fitness value of each path of the given graph fx=1/(abs(net_bal-wd_amt)-min_bal)+ε) 2 Where ε varies from 0.1 to 0.9…”

Section: Ps-bca (Pseudo Code Of Test Case or Test Data Generation By mentioning

confidence: 99%

See 2 more Smart Citations

Model Driven Test Case Optimization of UML Combinational Diagrams Using Hybrid Bee Colony Algorithm

Sahoo¹,

Nanda²,

Mohapatra³

et al. 2017

IJISA

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Abstract-To detect faults or errors for designing the quality software, software testing tool is used. Testing manually is an expensive and time taking process. To overcome this problem automated testing is used. Test case generation is a vital concept used in software testing which can be derived from requirements specification. Automation of test cases is a method where it can generate the test cases and test data automatically by using search based optimization technique. Model-driven testing is an approach that represents the behavioral model and also encodes the system behavior with certain conditions. Generally, the model consists of a set of objects that defined through variables and object relationships. This piece of work is used to generate the automated optimized test cases or test data with the possible test paths from combinational system graph. A hybrid bee colony algorithm is proposed in this paper for generating and optimizing the test cases from combinational UML diagrams.

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Section: Simulation Resultsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Ps-bca (Pseudo Code Of Test Case or Test Data Generation By mentioning

confidence: 99%

See 1 more Smart Citation

Model Driven Test Case Optimization of UML Combinational Diagrams Using Hybrid Bee Colony Algorithm

Sahoo¹,

Nanda²,

Mohapatra³

et al. 2017

IJISA

View full text Add to dashboard Cite

show abstract

“…Their approach is significant to identify location of a fault in the implementation, thus reducing testing effort. Moreover this method inspires the developers to improve the design quality, find faults in the implementation early, and reduce software development time [19]. L. Wang et al, gave an approach to generate test case from UML activity diagrams based on Gray-Box method.…”

Section: Related Workmentioning

confidence: 99%

UML based Test Case Generation Methods: A Review

Pahwa¹,

Solanki²

2014

IJCA

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Testing guarantees the quality of software to be developed in terms of presence of errors. A difficult part of software testing entails the generation of test cases. A good test case should have the quality to cover more features of test objective. There are number of methods for test case generation. The use of a model to describe the behavior of a system is a proven and major advantage to test. In this paper, various test case generation techniques based on UML (Unified Modeling Language) are explained. The focus will be on effective use of UML techniques and test-case generation in order to make suitable executions. General TermsSoftware Testing: Software Testing is any process or activity aimed at evaluating a system or attribute or capability of a program and determining through the purpose to find that whether it satisfies or meets the specified requirements or not.

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“…The testing process consists of three parts: test case generation, test execution, and test evaluation. Comparing with the other two parts, test case generation is more challenging and difficult [2]. Generating test data form high level design notations has several advantages over code-based test case design.…”

Section: Introductionmentioning

confidence: 99%

An Efficient Approach for Model Based Test Path Generation

Kyaw¹,

Min²

2015

IJIET

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Abstract-Software testing plays a vital role in developing software that is freedom from bugs and defects. Manual test is a cost and time consuming process although it may find many defects in a software application. If the testing process could be automated, the cost of developing software could be reduced obviously. The most critical part of the testing process is generation of test cases. Model based test path generation approaches identify faults in the implementation at early design phase, reduce the software development time, and inspire developer to improve design quality. The proposed approach focuses on Model Based testing for automatic best test path generation. In this approach, the proposed system generates all possible test paths and optimizes a test path from these paths. The proposed system will reduce the processing time by using XMI based activity diagram, validate the generated test paths with Cyclomatic Complexity and choose the best test path without dependence on others.Index Terms-Model-based testing, test path, test path generation, UML activity diagram.

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A Heuristic Technique for Automated Test Cases Generation from UML Activity Diagram

Cited by 10 publications

References 11 publications

Model Driven Test Case Optimization of UML Combinational Diagrams Using Hybrid Bee Colony Algorithm

Model Driven Test Case Optimization of UML Combinational Diagrams Using Hybrid Bee Colony Algorithm

UML based Test Case Generation Methods: A Review

An Efficient Approach for Model Based Test Path Generation

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