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[PDF] Top 20 An experimental study of hyper heuristic selection and acceptance mechanism for combinatorial t way test suite generation

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An experimental study of hyper heuristic selection and acceptance mechanism for combinatorial t way test suite generation

An experimental study of hyper heuristic selection and acceptance mechanism for combinatorial t way test suite generation

... performance, hyper-heuristic based strategies appear to be more superior as compared to the meta-heuristic counterparts (as evidenced by the given results in Section ...best test suite ... See full document

33

A dynamic multiarmed bandit gene expression programming hyper heuristic for combinatorial optimization problems

A dynamic multiarmed bandit gene expression programming hyper heuristic for combinatorial optimization problems

... traditional hyper-heuristic framework has two levels, namely, the high level strategy (heuristic selection mechanism and the acceptance criterion) and low level heuristics (a set ... See full document

12

Learning heuristic selection using a time delay neural network for open vehicle routing

Learning heuristic selection using a time delay neural network for open vehicle routing

... automated generation of heuristics [3] applied to a range of problems including boolean satisfiability, online bin packing, load balancing in networking, routing and ...learning generation ... See full document

8

A Tabu Search hyper heuristic strategy for t way test suite generation

A Tabu Search hyper heuristic strategy for t way test suite generation

... and experimental studies often encounter many threats to ...our study, several threats could be ...the t-way test suite generation is not a single solution problem, there ... See full document

30

On the Value of Backdoors for Software Engineering: a Case Study with Test Suite Generation

On the Value of Backdoors for Software Engineering: a Case Study with Test Suite Generation

... One way to tame the theorem proving problem is to simplify or decompose the CNF ...case study was corresponding to a small code script with ten lines of code, ... See full document

11

A hyper heuristic approach to automated generation of mutation operators for evolutionary programming

A hyper heuristic approach to automated generation of mutation operators for evolutionary programming

... Evolutionary programming can solve black-box function optimisation problems by evolving a pop- ulation of numerical vectors. The variation component in the evolutionary process is supplied by a mutation operator, which ... See full document

26

Fault tolerant based hyper heuristic algorithm for task scheduling in 
		cloud 

Fault tolerant based hyper heuristic algorithm for task scheduling in cloud 

... The proposed algorithm uses two revealing operators on impulse to define when to variant the low- level heuristic algorithm. The can not only deliver better results than the traditional rule-based scheduling ... See full document

5

Performance Evaluation of Improving Model Based Testing Using Event Consideration for Various Designs Concepts

Performance Evaluation of Improving Model Based Testing Using Event Consideration for Various Designs Concepts

... the test case design. Over the years, many test case design strategies have been developed in the literature including that of combinatorial testing, boundary values, equivalence partitioning, ... See full document

11

A case study of controlling crossover in a selection hyper heuristic framework using the multidimensional knapsack problem

A case study of controlling crossover in a selection hyper heuristic framework using the multidimensional knapsack problem

... performing hyper-heuristic with crossover controlled at the domain-specific level is tested by applying it to two further bench- mark sets, each with differing ...Late Acceptance Strategy performs a ... See full document

31

An Analogous t-Way Test Generation Strategy for Software Systems | MC-MIPOG

An Analogous t-Way Test Generation Strategy for Software Systems | MC-MIPOG

... in combinatorial testing distinguish two procedures (Klaib, 2009), to be specific the programmed effective test generator (AETG) and input parameter arrange ...a test set one test at once ... See full document

12

Test Suite Design Methodology Using Combinatorial Approach for Internet of Things Operating Systems

Test Suite Design Methodology Using Combinatorial Approach for Internet of Things Operating Systems

... National Institute for Standards and Technology (NIST) has been actively supported combinatorial testing. The research carried out by NIST has been well documented [2] [3]. NIST has made several tools which are ... See full document

10

STUDY ON TEST-SUITE AND FAULT CHARACTERIZATION

STUDY ON TEST-SUITE AND FAULT CHARACTERIZATION

... For test suites, one interesting characteristic is the granularity of test cases— the amount of input provided by each test ...a test case (T.Len). In this experiment, the length of the ... See full document

9

Test Case Generation and Minimization using UML Activity Diagram in Model Driven Environment

Test Case Generation and Minimization using UML Activity Diagram in Model Driven Environment

... work test cases for different projects are generated through a tool called test optimal ...generated test cases are stored in either in excel file in table format or in HTML ...Stored test ... See full document

5

A multi objective hyper heuristic based on choice function

A multi objective hyper heuristic based on choice function

... own. Hyper-heuristic frameworks, generally, impose a domain barrier which separates the hyper-heuristic from the domain implementation along with low level heuristics to provide a higher level ... See full document

51

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

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

... Research As we know that the program follows a path & constitutes a unit of interconnected modules to each other. It also gives the behavior of software codes. Thus to identify the bugs earlier before actual ... See full document

6

Analysis of Test Case Prioritization in Regression Testing using Genetic Algorithm

Analysis of Test Case Prioritization in Regression Testing using Genetic Algorithm

... class test, a test driver is used which invokes a sequence of ...The test driver performs its task in different ...under test is invoked by the test ...the test driver to ... See full document

10

Survey on Cost attentive of test suite reduction for software testing T.Mahesh Kumar 1, Dr.K.Subba Rao2

Survey on Cost attentive of test suite reduction for software testing T.Mahesh Kumar 1, Dr.K.Subba Rao2

... and test-suite prioritization. Test-suite reduction is also known as test-suite minimization ...algorithms. Test suite reduction algorithms identify a reduced ... See full document

6

An Introductory Way and Concise Focus on Different Generation for Transdermal Drug Delivery System

An Introductory Way and Concise Focus on Different Generation for Transdermal Drug Delivery System

... The second-generation transdermal delivery strategies seek to maximize the permeability of the drug to the skin using chemical enhancers or external energy sources without damaging the structure of the skin. ... See full document

6

An Empirical Study on the Effectiveness of Automated Test Case Generation Techniques

An Empirical Study on the Effectiveness of Automated Test Case Generation Techniques

... Several experimental studies have been carried out on various automated test case generation ...automated test case ...four test data generation techniques (Random technique, IRM ... See full document

7

Grammatical evolution hyper heuristic for combinatorial optimization problems

Grammatical evolution hyper heuristic for combinatorial optimization problems

... and Hyper-Heuristics, Evolutionary Computation and Artificial Intelligence, with a specific interest in scheduling, including timetabling, sports scheduling, cutting and packing and ... See full document

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