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Adapting ant colony optimization to generate test data for software structural testing

Chengying Mao, Lichuan Xiao, Xinxin Yu, Jinfu Chen
2015 Swarm and Evolutionary Computation  
In the paper, the basic ACO algorithm is reformed into discrete version so as to generate test data for structural testing.  ...  In general, software testing has been viewed as an effective way to improve software quality and reliability.  ...  In the 1990s, genetic algorithm was adapted to generate test data. Jones [6] and Pargas [18] investigated the usage of GA for test data automated generation for branch coverage.  ... 
doi:10.1016/j.swevo.2014.10.003 fatcat:ztgtz3b2sfeyhhnrvsl2rgfhxm

Software Testing Case Generation of Ant Colony Optimization based on Quantum Dynamic Self-Adaptation

Ping Chen, Min Xia
2015 International Journal of Hybrid Information Technology  
Automatic generation of testing data is the most crucial technology in the testing phase with some certain real value to improve software's testing automation degree.  ...  Although some certain results have been achieved by introducing the ant colony optimization to the testing process, the algorithm itself has the defects like too fast convergence speed and being easy to  ...  Due to the complex algorithm and parameter setting of genetic algorithm, Li Aiguo [7] and other people propose a software structure testing data automatic generation method based on particle swarm algorithm  ... 
doi:10.14257/ijhit.2015.8.9.11 fatcat:jpbmuimlfjfvhmaydrvlxiveum

Study of Test Case Selection and Prioritization

Kevilienuo Kire, Neha Malhotra
2014 International Journal of Computer Applications  
In fact, the quality of test suite plays an important role for the success of software testing .Ant colony optimization (ACO) which is a part of Swarm Intelligence is used to settle optimization problem  ...  This paper attempts to provide ideas of Test Case Selection and Prioritization which Ant Colony Optimization which can be helpful for the researchers who are working on software testing.  ...  It is also stated by Changing Mao, Xinxiang Yu1 in the paper "Generating Test Data for Structural Testing Based on Ant Colony Optimization".  ... 
doi:10.5120/14838-3100 fatcat:f7nnvt7otfdgxbe3enpxg6sw4a

Improved Ant Algorithms for Software Testing Cases Generation

Shunkun Yang, Tianlong Man, Jiaqi Xu
2014 The Scientific World Journal  
Existing ant colony optimization (ACO) for software testing cases generation is a very popular domain in software testing engineering.  ...  This paper introduces improved ACO for software testing cases generation: improved local pheromone update strategy for ant colony optimization, improved pheromone volatilization coefficient for ant colony  ...  And the authors also would like to express their thanks to the anonymous reviewers whose comments would improve this paper considerably.  ... 
doi:10.1155/2014/392309 pmid:24883391 pmcid:PMC4032714 fatcat:yy3n63z3dngjfea5lbnn5wyr7a

Automated Test Sequence Optimization Based on the Maze Algorithm and Ant Colony Algorithm

Wei Zheng, Naiwen Hu
2015 International Journal of Computers Communications & Control  
After the CPN model is transformed into the extensible markup language (XML) model, the improved ant colony algorithm is employed to generate the optimal sequences.  ...  To overcome the local optimum of traditional ant colony algorithm, the maze algorithm is integrated with the ant colony algorithm to achieve the dynamical learning capacity and improve the adaptation capacity  ...  Test generation software tool for the ant colony algorithm This test generation software tool is achieved by C++ language. It executes the ant colony algorithm and generates the test sequences.  ... 
doi:10.15837/ijccc.2015.4.1732 fatcat:erdp4fj3tbdyno3unp4jc7q6um

Nature-inspired Approaches in Software Faults Identification and Debugging

Florin Popentiu-Vladicescu, Grigore Albeanu
2016 Procedia Computer Science  
The following subjects are reviewed and extended: bio-inspired concepts for structuring resilient systems, genetic strategies in test data generation, Ant Colony Optimisation (ACO) algorithms for data  ...  Data collected during software development cycle can be used to understand the software project evolution and its reliability.  ...  Acknowledgements The research on improving software reliability by optimized software testing was conducted by the first author and supported by Academy of Romanian Scientists.  ... 
doi:10.1016/j.procs.2016.07.315 fatcat:k45fj6d4jzckjae4wnt6b5rs2q

A Comparative Analysis of Optimization Techniques

Kanika Tyagi, Kirti Tyagi
2015 International Journal of Computer Applications  
Thus various techniques are being used for test case optimization, to select the less indistinguishable test cases while providing the best possible fault coverage.  ...  This paper presents a comparative analysis of the different test case optimization techniques. There are various optimization techniques available for the context.  ...  The approach for performing regression testing is to again execute the test cases.  ... 
doi:10.5120/ijca2015907399 fatcat:75x4dkcve5g5ffykqkl6uewetu

Ant Colony Optimization Based Test Case Selection for Component Based Software

Palak Palak, Preeti Gulia
2018 International Journal of Engineering & Technology  
Ant Colony Optimization (ACO), a nature inspired optimization technique has wide range of applications in the field of software engineering.  ...  This paper presents an ACO based technique for test case selection for interaction testing of reusable software components.  ...  Lu et. al. for statement coverage based test case prioritization using tree shaped function for pheromone updates. Authors in [10] used evolutionary strategies for structural test data generation.  ... 
doi:10.14419/ijet.v7i4.17565 fatcat:wblvvs723zczxfa32gkglzbwba

Research on use of Nature Inspired Algorithms in Software Testing

2019 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
In literature, various nature inspired algorithms are used for the optimization of the software testing process.  ...  The number of efforts required in software testing may be reduced if test data is generated automatically, without trade off the quality of the developed software.  ...  ANT COLONY OPTIMIZATION Ant Colony Optimization (ACO) is another nature-inspired optimization algorithm that mimics the foraging behaviour of an ant colony.  ... 
doi:10.35940/ijitee.k2573.0981119 fatcat:s5fikyux4fglvihtr44l67lbty

New Soft Computing Techniques in the Software Testing

Suraj Indiver
2016 International Journal Of Engineering And Computer Science  
The test data were derived from the program's structure with the aim to traverse every statement in the software.  ...  Thus, the problem of test data generation is treated entirely as an optimization problem.  ...  ANT COLONY OPTIMIZATION (ACO) The idea of ant colony optimization is as its name suggests, inspired from the ant colonies.  ... 
doi:10.18535/ijecs/v5i12.64 fatcat:dicaimz62jaghm7wfw2zu7yexi

Structural-parametric optimization of the experimental data decomposition into approximated fragments

Rudolf Neydorf, Orkhan Iarakhmedov, T. Abbasian Najafabadi, I. Sevostianov, K. Yeghiazaryan, A. Nguyen Dong, V. Mladenovic
2017 MATEC Web of Conferences  
It is based on the method of the ant colony, specially adapted for solving similar problems.  ...  In this paper, a new approach to the selection of the structure of the decomposition of matrix data has been developed and proposed.  ...  models (1-2), the "Experimental Data Fragmentation by Rival Ant Colonies Method" (EDF_RACM) software tool (ST) was designed and developed. 3 Demo software tool "EDF_RACM" 3.1 Data structures Fig. 5.  ... 
doi:10.1051/matecconf/201713204027 fatcat:dwjdrkto4newhmfik6peenewpe

No Fit Polygon for Nesting Problem Solving with Hybridizing Ant Algorithms

Qiang Yang
2014 Journal of Software Engineering and Applications  
could be utilized as a source of inspiration for the design of optimization and distributed control algorithms.  ...  The ant algorithms research field, builds on the idea that the study of the behavior of ant colonies or other social insects is interesting, because it provides models of distributed organization which  ...  For example, a model of cooperative foraging in ants has been transformed into a set of optimization algorithms, now known as Ant Colony Optimization (ACO) [10] , tackling very hard computational problems  ... 
doi:10.4236/jsea.2014.75040 fatcat:2422a7wrrrgsvddwr3dwxsaf2u

Automated Software Testing Using Metahurestic Technique Based on An Ant Colony Optimization [article]

Praveen Ranjan Srivastava, Km Baby
2011 arXiv   pre-print
Aim of the current paper is to present an algorithm by applying an ant colony optimization technique, for generation of optimal and minimal test sequences for behavior specification of software.  ...  This paper also discusses the comparison between two metaheuristic techniques (Genetic Algorithm and Ant Colony optimization) for transition based testing  ...  This paper is structured as follows. Section 2 presents the GA approach for test data. Section 3 represents proposed approach to test sequence generation.  ... 
arXiv:1106.2686v1 fatcat:pq7mkkdwinaavjgk6dodyzruta

Automated Generate Test Sequence from State Transition Diagram Using Ant Colony Optimization

Suchada Ratanakongnate, Phakakarn Makmun
2017 Journal of clean energy technologies  
To generate test sequence and find priority of test case by Ant Colony Optimization method (ACO).  ...  Index Terms-Test sequence, test case, state transition diagram, ant colony optimization (ACO), extensible markup language (XML).  ...  Ant Colony Optimization (ACO) [3] , [4] is a way to test software function by imitating the way ants find a route to deliver its food.  ... 
doi:10.7763/ijcte.2017.v9.1130 fatcat:f37qr3xbfrdkvpmukhujinfaci

Optimization of Ant Colony for Next Generation Wireless Cognitive Networks

Muhammed Enes BAYRAKDAR, Ali ÇALHAN
2020 Journal of Polytechnic  
First, the general work structure is defined by giving basic information about the ant colony algorithm. Next, the fit functions for the parameters that we optimize are mathematically expressed.  ...  In addition, the network structure simulated on RIVERBED software has been tested with different scenarios.  ... 
doi:10.2339/politeknik.635065 fatcat:vdrwis5rlfavldfucqtv7engxa
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