A Novel Approach for Automated Test Path Generation using TABU Search Algorithm

Shanthi, A.V.K.; Mohankumar, G.

doi:10.5120/7410-0449

Cited by 10 publications

(4 citation statements)

References 14 publications

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“…Using a triangle classification program for instance, analyze comes about demonstrate that Genetic Algorithm based test information can more viably and effectively than the current strategy does. Some authors also proposes a novel approach for diverse model based test case generation [17]. It selects a subset of the generated test suite in such a way that it can be realistically executed and analyzed within the time and reserve constraint, while preserving the fault enlightening control of the unusual test suite to a maximum extent.…”

Section: Related Studymentioning

confidence: 99%

Design & Development of Model Based Adaptive Testing for Software Quality Assurance

Dalwani¹,

Samvatsar²

2017

International Journal of Advanced Research in Computer and Comm

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Abstract:Testing is very important phase of software development lifecycle which includes verification and validation of parameters used for evaluating the software. It aims towards creation of defect free codes with better quality and reliability. Imperfection ID and forecast alongside requires reviewing of item from client end. It directs the improvements to be driven ceaselessly in nearness of testing systems. We have experienced the thorough investigation of different research articles which covers the conceivable outcomes of applying testing through various procedures like segment testing and model based testing. Subsequent to dissecting the issue connected with early era of experiments and the parceling rationales we have recommended a few changes utilizing exhaustive strategies towards test handle enhancements and quality primitives. Analytical evaluations are showing the benefits of work and its probable improvements over other traditional approaches. This paper presents a numerical evaluation of the result on different operating situations and test case conditions. For measuring the robustness of suggested approach several scenarios are made and values are taken. From these values it is clearly identified that the suggested approach is showing better in the direction of software testing and ought to have great future ahead.

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Section: Related Studymentioning

confidence: 99%

Design & Development of Model Based Adaptive Testing for Software Quality Assurance

Dalwani¹,

Samvatsar²

2017

International Journal of Advanced Research in Computer and Comm

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“…The Unified Modeling Language (UML) is considered the most common specifications standard for software specifications and design. Therefore, many research works concentrate on generating test cases from the UML [Ribeiro, Pereira, Rettberg et al (2018); Shanthi and MohanKumar (2012); Meziane, Athanasakis and Ananiadou (2008)]. However, the UML is not sufficient to specify the complex and strict software specification.…”

Section: Introductionmentioning

confidence: 99%

“…One of the advantages of these templates that supports the automated generation of other behavior models for example activity diagram, sequence diagram, statechart, as well as test cases [Somé (2009)]. Many studies try to generate the test cases from the software specifications [Ribeiro, Pereira, Rettberg et al (2018); Khurana, Chhillar and Chhillar (2016); Teixeira and e Silva (2017); Shanthi and MohanKumar (2012)]. However, there is a lack of studies to generate the test cases from a formalized model of use cases which is suited to early requirements phases; to apply the acceptable software test coverage criteria in which the adequacy and reliability of such test cases are measured; and to provide a fully automated and detailed test cases generation approach.…”

Section: Introductionmentioning

confidence: 99%

An Automated Approach to Generate Test Cases From Use Case Description Model

Alrawashed¹,

Almomani²,

Althunibat³

et al. 2019

Computer Modeling in Engineering &Amp; Sciences

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Test complexity and test adequacy are frequently raised by software developers and testing agents. However, there is little research works at this aspect on specification-based testing at the use case description level. Thus, this research proposes an automatic test cases generator approach to reduce the test complexity and to enhance the percentage of test coverage. First, to support the infrastructure for performing automatic, this proposed approach refines the use cases using use case describing template and save it in the text file. Then, the saved file is input to the Algorithm of Control Flow Diagram (ACFD) to convert use case details to a control flow diagram. After that, the Proposed Tool of Generating Test Paths (PTGTP) is used to generate test cases from the control flow diagram. Finally, the genetic algorithm associated with transition coverage is adapted to optimize and evaluate the adequacy of such test cases. A money withdrawal use case in the ATM system is used as an ongoing case study. Preliminary results show that the generated test cases achieve high coverage with an optimal test case. This automatic test case generation approach is effective and efficient. Therefore, it could promote to use other test case coverage criteria.

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“…This paper presents a novel approach to generate the automated test paths [17]. Due to the delay in the development of software, testing has to be done in a short time.…”

Section: Related Studymentioning

confidence: 99%

An Automated Sequence Model Testing (ASMT) for Reducing Test Suit Size

Purohit¹

2013

IJCA

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A Novel Approach for Automated Test Path Generation using TABU Search Algorithm

Cited by 10 publications

References 14 publications

Design & Development of Model Based Adaptive Testing for Software Quality Assurance

Design & Development of Model Based Adaptive Testing for Software Quality Assurance

An Automated Approach to Generate Test Cases From Use Case Description Model

An Automated Sequence Model Testing (ASMT) for Reducing Test Suit Size

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