Journal of Computer Sciences and Applications

Testing is one of the most important parts of Software Development Life Cycle. It requires the crafting of a good test. This crafting can be done only after deep analysis and knowhow of the working of the software. This work presents the Genetic Algorithm based approach for the generation of test data. The approach would automate the test data generation process and hence facilitates the process of testing. The work would also help in the elimination of human biases. The work has been implemented in C#, verified with a set of 10 moderate size software. The results are encouraging. The work is part of a larger endeavor to develop a comprehensive testing system for C #software. This work is based on a comprehensive literature review which has helped develop a sound theoretical base.

Journal of Computer Sciences and Applications. 2015, 3(2), 56-60. DOI: 10.12691/jcsa-3-2-7
Pub. Date: May 01, 2015

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16315 Views4935 Downloads12 Likes

Cryptanalysis Using Soft Computing Techniques

by Harsh Bhasin and Asif Hameed Khan

Special Issue

This paper proposes a Genetic Algorithm (GAs) based cryptanalysis technique. Genetic Algorithms are the optimization techniques which are also known for robustness. The analysis and the involved theory have been presented in the paper. The designing of fitness function has been done using the statistical analysis of a Standard English Language documents. The technique has been verified using 9 text documents of about 4000 words and the results are encouraging. The technique paves way of Soft Computing techniques in Cryptanalysis.

Journal of Computer Sciences and Applications. 2015, 3(2), 52-55. DOI: 10.12691/jcsa-3-2-6
Pub. Date: April 23, 2015

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14772 Views4177 Downloads26 Likes1 Citations

Selection of Fittest Key Using Genetic Algorithm and Autocorrelation in Cryptography

by Sania Jawaid, Anam Saiyeda and Naba Suroor

Special Issue

Secure communication is a necessity in every field. Network security aims at providing a safe and unassailable correspondence by using cryptography. In cryptography data is sent in an encrypted form to ensure security. Encryption requires impregnable keys. A key is used to encrypt or decrypt data and should be unpredictable and not easily breakable. In this paper we use genetic algorithms which is a soft computing technique for key generation, the process used for generating keys. The keys obtained are tested for randomness by using the autocorrelation test. The final key is selected based on the autocorrelation value and thus it is as random and unique as possible. Java Technology is used to implement the proposed technique and analysis of the observations gives satisfactory results. The final key obtained can further be used to perform encryption. In our paper for verification and validation Data Encryption Standard cipher program is used. It can also be used in in-house ERP System to ensure the stability of important data. It will help in obtaining good standards of security in cryptography.

Journal of Computer Sciences and Applications. 2015, 3(2), 46-51. DOI: 10.12691/jcsa-3-2-5
Pub. Date: April 23, 2015

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24003 Views7113 Downloads45 Likes

Genetic Algorithm Based on Sorting Techniques

by Parul Aggrawal, Faisal Naved and Mohd Haider

Special Issue

Genetic Algorithm, an Artificial Intelligence approach is based on the theory of natural selection and evolution. Traditional methods of sorting data are too slow in finding an efficient solution when the input data is too large. In contrast, Genetic Algorithm generates fittest solutions to a problem by exploiting new regions in the search space. This paper targets the three most commonly used Bubble, Selection and Insertion sorting techniques and executes memory on an input ranging from 1,000 to 10,000 where the input is entered in increasing, decreasing and random order. It mainly uses the Genetic Algorithm approach to optimize the effect of the three algorithms by generating an output which is consistent in terms of time variations which is not otherwise. This has been achieved by exploiting the property of Genetic Algorithm by choosing best parameter for population size, encoding, selection criteria, operator choice and optimized fitness function.

Journal of Computer Sciences and Applications. 2015, 3(2), 40-45. DOI: 10.12691/jcsa-3-2-4
Pub. Date: April 23, 2015

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Genetic Algorithm Based Solution to SAT-3 Problem

by Umme Aiman and Nausheen Asrar

Special Issue

SAT-3 is an NP-complete problem for determining whether there exists a solution satisfying a given Boolean formula in the Conjunctive Normal Form, wherein each clause has at most three literals. Existing approaches of this problem take exponential time and are also memory inefficient. The work uses Genetic Algorithms for finding an optimal solution to this problem. The central idea is the intelligent exploitation of a random search used to solve optimization problems. The work explores previous works to direct the search into regions of better performance within the search space, thus reducing the time and space complexity. It thus establishes the ability of Genetic Algorithms for finding optimal solutions from a huge set of solutions. The work has been implemented and analyzed with satisfactory results.

Journal of Computer Sciences and Applications. 2015, 3(2), 33-39. DOI: 10.12691/jcsa-3-2-3
Pub. Date: April 23, 2015

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23262 Views6134 Downloads18 Likes6 Citations

Enterprise Resource Planning (ERP) Systems in Banking Industry: Implementations Approaches, Reasons for Failures and How to Avoid Them

by Salim Ahmad, Suleiman Ibrahim and Salisu Garba

Opinion Paper

Implementing an enterprise resource planning (ERP) system proven to have visible benefits (business integration, reduce operational cost, business flexibility and much more) that can be seen by many organizations, but the success of its implementation can only be realized by avoiding the common motive that lead to its failure. This paper explained various aspects that lead to ERP system implementation failure which includes inadequate requirements definition, end-users resistance to adapting to new methods, lack of top-management support. Different approaches are used in the implementation of ERP system such as comprehensive, pilot, and phased approach but the successful implementation of ERP system depend on the organizational nature. Enormous amount of time and money have been invested on ERP implementation by many organization only to see the performance remain stagnant due to the incompatible approach to the implementation process. ERP system is a long process and for the duration of implementation the performance of daily organization activities can degenerate, there are a lot of risk that are involved in new business process; therefore various recommendation on how to avoid the ERP failures are discussed.

Journal of Computer Sciences and Applications. 2015, 3(2), 29-32. DOI: 10.12691/jcsa-3-2-2
Pub. Date: April 07, 2015

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30530 Views6210 Downloads19 Likes2 Citations

Palmprint Recognitionvia Bandlet, Ridgelet, Wavelet and Neural Network

by Mohanad A. M. Abukmeil, Hatem Elaydi and Mohammed Alhanjouri

Original Research

Palmprint recognition has emerged as a valid biometric based personal identification tool. Palmprints with high resolution features such minutia points, ridges and singular points or low resolution features such as wrinkles and principals determine their applications. In this paper a 700nm spectral band PolyU hyperspectral palmprint database is utilized and the multiscale band let image transform is utilized in features extraction; moreover, its results are compared with the ridgelet and 2D discrete wavelet results. The size of features is reduced using principle component analysis and linear discriminate analysis; in addition, a feed forward back-propagation neural network is used as a classifier. The results show that the recognition rate accuracy of the band let transform outperforms others.

Journal of Computer Sciences and Applications. 2015, 3(2), 23-28. DOI: 10.12691/jcsa-3-2-1
Pub. Date: April 04, 2015

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18166 Views5396 Downloads15 Likes2 Citations