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soumi ghosh

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Youness Boukouchi

Youness BOUKOUCHI

Université Hassan II-Mohammedia

Abdelhakim Rashid

University of Benghazi

Universidad nacional de ingenieria

Amrendra Pratap

World Academy of Informatics and Management Sciences

Piotr Tomaszewski

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Papers by soumi ghosh

Soumi Ghosh et al. / International Journal on Computer Science and Engineering (IJCSE) Comparative Study of the Factors that Affect Maintainability

Abstract—The maintainability of the software system is becoming a very important characteristic d... more Abstract—The maintainability of the software system is becoming a very important characteristic due to growth in demand of quality software system. Software maintainability means the ease with which a software system or component can be modified to correct faults, improve performance or other attributes or adapt to a changed environment. The selection of best maintainability model is prime concern for developing quality software system. Every software maintainability model has some sub-characteristics which impact on maintainability directly or indirectly. This paper presents different maintainability models from various standards and quality models define its sub-characteristics and then perform analytical comparison of these sub-characteristics. Keywords-maintainability, software system, model, measurement I.

A Hybrid Nonlinear Manifold Detection Approach for Software Defect Prediction

2018 7th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), 2018

Rapid development of software technology has influence on substantial industrial growth. Wide app... more Rapid development of software technology has influence on substantial industrial growth. Wide application of software in business related matters leads to development of reliable and defect free software system which is a challenging task. It requires development of effective techniques for prediction of software defects at early stage. For complexities in manual prediction of defects, automated techniques have come into effect. They are basically based on learning of pattern from earlier versions of software development and finding out the defects from the current version. Considerable impact of these techniques on industrial growth by predicting defects in software system attracted researchers in this field.In-spite of many studies performed by applying these techniques, desirable performance level and accurate defect prediction still remains a challenging task. For solving this problem, a hybrid technique based on Nonlinear Manifold Detection Techniques (Nonlinear MDTs) and machi...

A benchmarking framework using nonlinear manifold detection techniques for software defect prediction

International Journal of Computational Science and Engineering, 2020

Prediction of software defects in time improves quality and helps in locating the defect-prone ar... more Prediction of software defects in time improves quality and helps in locating the defect-prone areas accurately. Although earlier considerable methods were applied, actually none of those measures was found to be foolproof and accurate. Hence, a newer framework includes nonlinear manifold detection model, and its algorithm originated for defect prediction using different techniques of nonlinear manifold detection (nonlinear MDs) along with 14 different machine learning techniques (MLTs) on eight defective software datasets. A critical analysis cum exhaustive comparative estimation revealed that nonlinear manifold detection model has a more accurate and effective impact on defect prediction as compared to feature selection techniques. The outcome of the experiment was statistically tested by Friedman and post hoc analysis using Nemenyi test, which validates that hidden Markov model (HMM) along with nonlinear manifold detection model outperforms and is significantly different from MLTs.

Interactions between Viperin, Vesicle-Associated Membrane Protein A, and Hepatitis C Virus Protein NS5A Modulate Viperin Activity and NS5A Degradation

Biochemistry, 2020

The radical SAM enzyme, viperin, exerts a wide range of antiviral effects through both the synthe... more The radical SAM enzyme, viperin, exerts a wide range of antiviral effects through both the synthesis of the antiviral nucleotide 3'-deoxy-3',4'-didehydro-CTP (ddhCTP) and through its interactions with various cellular and viral proteins. Here we investigate the interaction of viperin with hepatitis C virus non-structural protein 5A (NS5A) and the host sterol regulatory protein, vesicle-associated membrane protein A (VAP-33). NS5A and VAP-33 form part of the viral replication complex that is essential for replicating the RNA genome of hepatitis C virus. Using transfected enzymes in HEK293T cells, we show that viperin binds independently to both NS5A and the C-terminal domain of VAP-33 (VAP-33C) and that this interaction is dependent on the proteins being co-localized to the ER membrane. Co-expression of VAP-33C and NS5A resulted in changes to the catalytic activity of viperin that depended upon viperin being co-localized to the ER membrane. The viperin-NS5A-VAP-33C complex exhibited the lowest specific activity, indicating that NS5A may inhibit viperin's ability to synthesize ddhCTP. Co-expression of viperin with NS5A was also found to significantly reduce cellular NS5A levels, most likely by increasing the rate of proteasomal degradation. An inactive mutant of viperin, unable to bind the iron-sulfur cluster, was similarly effective at reducing cellular NS5A levels.

Priority based Modified Throttled Algorithm in Cloud Computing

2016 International Conference on Inventive Computation Technologies (ICICT), 2016

In Cloud Computing environment, Load Balancing is an important aspect which divides task between ... more In Cloud Computing environment, Load Balancing is an important aspect which divides task between a numbers of virtual machines (VMs). It ensures no VM would get overloaded or sit idle and the end user would get service faster. We have proposed an algorithm, which adds a new feature like priority basis service allocation of each user request. Determining the priority of a request, the task allocated to a Virtual Machines. A Switching queue has proposed to hold the request which has been removed temporarily from the V.M. due to the arrival of higher priority request. The waiting request resumed the execution after completion of the of higher priority task. We have proposed a Priority based Modified Throttled Algorithm (PMTA) which has improved average execution time in comparison to the existing load balancing algorithm such as Throttled and Round Robin.

Comparative Study of the Factors that Affect Maintainability

International Journal, 2011

Abstract: The maintainability of the software system is becoming a very important characteristic ... more

Predicting Defect of Software System

Advances in Intelligent Systems and Computing, 2017

Any particular study on software quality with all desirable attributes of software products can b... more Any particular study on software quality with all desirable attributes of software products can be treated as complete and perfect provided it is defective. Defects continue to be an emerging problem that leads to failure and unexpected behaviour of the system. Prediction of defect in software system in the initial stage may be favourable to a great extend in the process of finding out defects and making the software system efficient, defect-free and improving its over-all quality. To analyze and compare the work done by the researchers on predicting defects of software system, it is necessary to have a look on their varied work. The most frequently used methodologies for predicting defects in the software system have been highlighted in this paper and it has been observed that use of public datasets were considerably more than use of private datasets. On the basis of over-all findings, the key analysis and challenging issues have been identified which will help and encourage further work in this field with application of newer and more effective methodologies.

— With the objective of presenting qualitative software system most of the software producers hav... more — With the objective of presenting qualitative software system most of the software producers have endeavoured and infact this is their main purpose. Software quality is having multi-dimensional content which may be distinguished and measured easily. To be specific, with the idea of determining the multidimensional content in a more exact pattern various qualitative models have been presented by virtue of which different aspects of this matter have been attempted to be investigated properly. Practically as because there are existences of different models which have used different expressions the comprehension of this basic content have become to some extent hard or difficult. Attempts have been made in this particular paper to introduce some models that have been mentioned and more clearly analysis the qualitative characteristics and side-by-side determine the software quality along with the analytical comparison of these models. This paper may serve the purpose of a reference for i...

Fuzzy Maintainability Model for Object Oriented Software System

In recent years for achieving considerable success in software system, maintainability plays a ve... more In recent years for achieving considerable success in software system, maintainability plays a very crucial role and it is considered as an important quality characteristics. In this paper a maintainability model has been proposed to compare maintainability of object-oriented software system. Attempts have been made on software developed in different programming languages to make comparison of maintainability pattern using AHP and Fuzzy Index method.

Combining Integrated Sampling with Nonlinear Manifold Detection Techniques for Software Defect Prediction

In present days, quality software has become a necessity in almost all line of work. But on the o... more In present days, quality software has become a necessity in almost all line of work. But on the other hand, defective software system gives undesired products resulting in user dissatisfaction as well as huge hike in development and maintenance cost. That’s why, an accurate prediction of defect prone areas is needed for reducing development and maintenance cost. From various research work already undertaken in this field, it has been observed that basically due to two problems such as imbalance in class distribution and irrelevant attributes present in high dimensional datasets, the prediction performance of classification techniques are below the desired level and inaccurate. For solving these problems, a model has been proposed by integrating Sampling Methods (SM) such as Random Under Sampling method, Synthetic Minority Over Sampling Technique for random over sampling with Nonlinear Manifold Detection Techniques (Nonlinear MDTs) like ISOMAP, FASTMVU and Diffusion Maps for evaluati...

A Comprehensive Survey of Personalized Music Identifier System

The International Journal of Recent Technology and Engineering (IJRTE), 2021

Music occupies a very important space in the heart and life of common people and it is rather sub... more Music occupies a very important space in the heart and life of common people and it is rather subjective and universal nature indeed. Music Identifier System is obviously concerned with providing a very meaningful and personalized recommendation of items i.e. songs, music, playlist according to the mood, emotion, interest and preference of the users or listeners. With the advancement of technologies, rapid development of internet, it has become very common to use the streaming services to listen and enjoy music or songs in more convenient ways. In this paper, an attempt has been made to perform a comparative analysis, systematic research, empirical thorough review on various approaches or strategies proposed and applied by different researchers in the task of designing an effective system for music identification or recommendation. The basic theme of the paper includes music identifier system, its components, and different features along with emphasize on the methods, metrics, gener...

A statistical comparison for evaluating the effectiveness of linear and nonlinear manifold detection techniques for software defect prediction

International Journal of Advanced Intelligence Paradigms, 2019

Most of the software systems are released without predicting defects and therefore, this paper pr... more Most of the software systems are released without predicting defects and therefore, this paper presents a new effective technique - manifold detection technique (MDT) is essential and different than earlier applied defect prediction methods like regression, feature selection methods, etc. In this paper, performance of classifiers has been compared with or without MDTs to evaluate the effectiveness of different MDTs (linear and nonlinear) by reducing the dimensions of software datasets. In this process, eight classifiers were applied to four PROMISE datasets to determine the best performing classifier with respect to prediction performance measuring factors (accuracy, precision, recall, F-measure, AUC, misclassification error) with or without MDTs. The experimental results statistically tested by paired two-tailed t-test proved that FastMVU is the most accurate result producing technique as compared to all other nonlinear MDTs and Bayesian network (BN) is the most effective technique for software defect prediction using with or without MDTs.

Comparison of Software Quality Models: An Analytical Approach

With the objective of presenting qualitative software system most of the software producers have ... more With the objective of presenting qualitative software system most of the software producers have endeavoured and infact this is their main purpose. Software quality is having multi-dimensional content which may be distinguished and measured easily. To be specific, with the idea of determining the multidimensional content in a more exact pattern various qualitative models have been presented by virtue of which different aspects of this matter have been attempted to be investigated properly. Practically as because there are existences of different models which have used different expressions the comprehension of this basic content have become to some extent hard or difficult. Attempts have been made in this particular paper to introduce some models that have been mentioned and more clearly analysis the qualitative characteristics and side-by-side determine the software quality along with the analytical comparison of these models. This paper may serve the purpose of a reference for investigating software quality and its related models.

Comparative Analysis of K-Means and Fuzzy C-Means Algorithms

International Journal of Advanced Computer Science and Applications, 2013

In the arena of software, data mining technology has been considered as useful means for identify... more In the arena of software, data mining technology has been considered as useful means for identifying patterns and trends of large volume of data. This approach is basically used to extract the unknown pattern from the large set of data for business as well as real time applications. It is a computational intelligence discipline which has emerged as a valuable tool for data analysis, new knowledge discovery and autonomous decision making. The raw, unlabeled data from the large volume of dataset can be classified initially in an unsupervised fashion by using cluster analysis i.e. clustering the assignment of a set of observations into clusters so that observations in the same cluster may be in some sense be treated as similar. The outcome of the clustering process and efficiency of its domain application are generally determined through algorithms. There are various algorithms which are used to solve this problem. In this research work two important clustering algorithms namely centroid based K-Means and representative object based FCM (Fuzzy C-Means) clustering algorithms are compared. These algorithms are applied and performance is evaluated on the basis of the efficiency of clustering output. The numbers of data points as well as the number of clusters are the factors upon which the behaviour patterns of both the algorithms are analyzed. FCM produces close results to K-Means clustering but it still requires more computation time than K-Means clustering.

Diffusion-induced modulational instability in magnetised semiconductor plasmas: effect of carrier heating

The European Physical Journal D, 2010

The present paper is aimed to the exploration of modulational amplification in transversely magne... more The present paper is aimed to the exploration of modulational amplification in transversely magnetised diffusive semiconductors. By considering that the origin of modulational interaction lies in the third-order optical susceptibility χ (3) arising from the nonlinear diffusion current density and using coupled mode theory, an analytical investigation of frequency modulational interaction between co-propagating laser beams and internally generated acoustic mode is presented. We have studied the steady state and transient amplification characteristics of modulated waves arising in the transversely magnetised semiconductor plasmas. The effect of carrier heating adds new dimensions to the present study. The heating effect reduces the required threshold amplitude of wave and enhances steady-state as well as transient gain of the generated acoustic mode.

A Nonlinear Manifold Detection based Model for Software Defect Prediction

Procedia Computer Science, 2018

Software defect prediction requires developing a new technique which aims at accurately predict d... more Software defect prediction requires developing a new technique which aims at accurately predict defective modules in software system with minimum time and space complexity as well as lesser computational cost. As such, a new model based on Nonlinear Manifold Detection Techniques has been proposed to eliminate undesirable and irrelevant attributes of high dimensional datasets by dimension reduction with more prediction accuracy and improved software quality. In this paper, a novel step towards achieving the goal by developing a new model based on Nonlinear MDTs and comparing its effectiveness with existing Feature Selection techniques for identifying the most accurate defect prediction method. The performance of different classification methods with both new and existing techniques has been evaluated, compared and also tested statistically by using Friedman test and Post Hoc analysis. The result proved that new proposed model based on Nonlinear MDTs is better performance oriented compared to accuracy level of all other techniques.

Object Oriented Software System Based on Ahp

In modern days as because there are multiple number of object-oriented software systems, it is a ... more In modern days as because there are multiple number of object-oriented software systems, it is a real challenge for everyone to choose single one system among so many and variety of alternatives. This is obviously a challenging task to find out the most appropriate software system. In this particular study Analytical Hierarchy Process (AHP) technique has been integrated with ISO 9126-1 and it has been applied for the purpose of selection of object oriented software system. In this process the basic features i.e. quality characteristics of ISO 9126-1 has to be identified and considered to formulate a set of rank for the object-oriented software system. To be specific the most appropriate object-oriented software system may be termed as number one rank based on its desirable features as against many other alternatives of the object-oriented software systems. KeywordsObject-Oriented software system; AHP; ISO 9126-1; Quality characteristics; Maintainability.

Soumi Ghosh et al. / International Journal on Computer Science and Engineering (IJCSE) Comparative Study of the Factors that Affect Maintainability

Abstract—The maintainability of the software system is becoming a very important characteristic d... more Abstract—The maintainability of the software system is becoming a very important characteristic due to growth in demand of quality software system. Software maintainability means the ease with which a software system or component can be modified to correct faults, improve performance or other attributes or adapt to a changed environment. The selection of best maintainability model is prime concern for developing quality software system. Every software maintainability model has some sub-characteristics which impact on maintainability directly or indirectly. This paper presents different maintainability models from various standards and quality models define its sub-characteristics and then perform analytical comparison of these sub-characteristics. Keywords-maintainability, software system, model, measurement I.

A Hybrid Nonlinear Manifold Detection Approach for Software Defect Prediction

2018 7th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), 2018

Rapid development of software technology has influence on substantial industrial growth. Wide app... more Rapid development of software technology has influence on substantial industrial growth. Wide application of software in business related matters leads to development of reliable and defect free software system which is a challenging task. It requires development of effective techniques for prediction of software defects at early stage. For complexities in manual prediction of defects, automated techniques have come into effect. They are basically based on learning of pattern from earlier versions of software development and finding out the defects from the current version. Considerable impact of these techniques on industrial growth by predicting defects in software system attracted researchers in this field.In-spite of many studies performed by applying these techniques, desirable performance level and accurate defect prediction still remains a challenging task. For solving this problem, a hybrid technique based on Nonlinear Manifold Detection Techniques (Nonlinear MDTs) and machi...

A benchmarking framework using nonlinear manifold detection techniques for software defect prediction

International Journal of Computational Science and Engineering, 2020

Prediction of software defects in time improves quality and helps in locating the defect-prone ar... more Prediction of software defects in time improves quality and helps in locating the defect-prone areas accurately. Although earlier considerable methods were applied, actually none of those measures was found to be foolproof and accurate. Hence, a newer framework includes nonlinear manifold detection model, and its algorithm originated for defect prediction using different techniques of nonlinear manifold detection (nonlinear MDs) along with 14 different machine learning techniques (MLTs) on eight defective software datasets. A critical analysis cum exhaustive comparative estimation revealed that nonlinear manifold detection model has a more accurate and effective impact on defect prediction as compared to feature selection techniques. The outcome of the experiment was statistically tested by Friedman and post hoc analysis using Nemenyi test, which validates that hidden Markov model (HMM) along with nonlinear manifold detection model outperforms and is significantly different from MLTs.

Interactions between Viperin, Vesicle-Associated Membrane Protein A, and Hepatitis C Virus Protein NS5A Modulate Viperin Activity and NS5A Degradation

Biochemistry, 2020

The radical SAM enzyme, viperin, exerts a wide range of antiviral effects through both the synthe... more The radical SAM enzyme, viperin, exerts a wide range of antiviral effects through both the synthesis of the antiviral nucleotide 3'-deoxy-3',4'-didehydro-CTP (ddhCTP) and through its interactions with various cellular and viral proteins. Here we investigate the interaction of viperin with hepatitis C virus non-structural protein 5A (NS5A) and the host sterol regulatory protein, vesicle-associated membrane protein A (VAP-33). NS5A and VAP-33 form part of the viral replication complex that is essential for replicating the RNA genome of hepatitis C virus. Using transfected enzymes in HEK293T cells, we show that viperin binds independently to both NS5A and the C-terminal domain of VAP-33 (VAP-33C) and that this interaction is dependent on the proteins being co-localized to the ER membrane. Co-expression of VAP-33C and NS5A resulted in changes to the catalytic activity of viperin that depended upon viperin being co-localized to the ER membrane. The viperin-NS5A-VAP-33C complex exhibited the lowest specific activity, indicating that NS5A may inhibit viperin's ability to synthesize ddhCTP. Co-expression of viperin with NS5A was also found to significantly reduce cellular NS5A levels, most likely by increasing the rate of proteasomal degradation. An inactive mutant of viperin, unable to bind the iron-sulfur cluster, was similarly effective at reducing cellular NS5A levels.

Priority based Modified Throttled Algorithm in Cloud Computing

2016 International Conference on Inventive Computation Technologies (ICICT), 2016

In Cloud Computing environment, Load Balancing is an important aspect which divides task between ... more In Cloud Computing environment, Load Balancing is an important aspect which divides task between a numbers of virtual machines (VMs). It ensures no VM would get overloaded or sit idle and the end user would get service faster. We have proposed an algorithm, which adds a new feature like priority basis service allocation of each user request. Determining the priority of a request, the task allocated to a Virtual Machines. A Switching queue has proposed to hold the request which has been removed temporarily from the V.M. due to the arrival of higher priority request. The waiting request resumed the execution after completion of the of higher priority task. We have proposed a Priority based Modified Throttled Algorithm (PMTA) which has improved average execution time in comparison to the existing load balancing algorithm such as Throttled and Round Robin.

Comparative Study of the Factors that Affect Maintainability

International Journal, 2011

Abstract: The maintainability of the software system is becoming a very important characteristic ... more

Predicting Defect of Software System

Advances in Intelligent Systems and Computing, 2017

Any particular study on software quality with all desirable attributes of software products can b... more Any particular study on software quality with all desirable attributes of software products can be treated as complete and perfect provided it is defective. Defects continue to be an emerging problem that leads to failure and unexpected behaviour of the system. Prediction of defect in software system in the initial stage may be favourable to a great extend in the process of finding out defects and making the software system efficient, defect-free and improving its over-all quality. To analyze and compare the work done by the researchers on predicting defects of software system, it is necessary to have a look on their varied work. The most frequently used methodologies for predicting defects in the software system have been highlighted in this paper and it has been observed that use of public datasets were considerably more than use of private datasets. On the basis of over-all findings, the key analysis and challenging issues have been identified which will help and encourage further work in this field with application of newer and more effective methodologies.

— With the objective of presenting qualitative software system most of the software producers hav... more — With the objective of presenting qualitative software system most of the software producers have endeavoured and infact this is their main purpose. Software quality is having multi-dimensional content which may be distinguished and measured easily. To be specific, with the idea of determining the multidimensional content in a more exact pattern various qualitative models have been presented by virtue of which different aspects of this matter have been attempted to be investigated properly. Practically as because there are existences of different models which have used different expressions the comprehension of this basic content have become to some extent hard or difficult. Attempts have been made in this particular paper to introduce some models that have been mentioned and more clearly analysis the qualitative characteristics and side-by-side determine the software quality along with the analytical comparison of these models. This paper may serve the purpose of a reference for i...

Fuzzy Maintainability Model for Object Oriented Software System

In recent years for achieving considerable success in software system, maintainability plays a ve... more In recent years for achieving considerable success in software system, maintainability plays a very crucial role and it is considered as an important quality characteristics. In this paper a maintainability model has been proposed to compare maintainability of object-oriented software system. Attempts have been made on software developed in different programming languages to make comparison of maintainability pattern using AHP and Fuzzy Index method.

Combining Integrated Sampling with Nonlinear Manifold Detection Techniques for Software Defect Prediction

In present days, quality software has become a necessity in almost all line of work. But on the o... more In present days, quality software has become a necessity in almost all line of work. But on the other hand, defective software system gives undesired products resulting in user dissatisfaction as well as huge hike in development and maintenance cost. That’s why, an accurate prediction of defect prone areas is needed for reducing development and maintenance cost. From various research work already undertaken in this field, it has been observed that basically due to two problems such as imbalance in class distribution and irrelevant attributes present in high dimensional datasets, the prediction performance of classification techniques are below the desired level and inaccurate. For solving these problems, a model has been proposed by integrating Sampling Methods (SM) such as Random Under Sampling method, Synthetic Minority Over Sampling Technique for random over sampling with Nonlinear Manifold Detection Techniques (Nonlinear MDTs) like ISOMAP, FASTMVU and Diffusion Maps for evaluati...

A Comprehensive Survey of Personalized Music Identifier System

The International Journal of Recent Technology and Engineering (IJRTE), 2021

Music occupies a very important space in the heart and life of common people and it is rather sub... more Music occupies a very important space in the heart and life of common people and it is rather subjective and universal nature indeed. Music Identifier System is obviously concerned with providing a very meaningful and personalized recommendation of items i.e. songs, music, playlist according to the mood, emotion, interest and preference of the users or listeners. With the advancement of technologies, rapid development of internet, it has become very common to use the streaming services to listen and enjoy music or songs in more convenient ways. In this paper, an attempt has been made to perform a comparative analysis, systematic research, empirical thorough review on various approaches or strategies proposed and applied by different researchers in the task of designing an effective system for music identification or recommendation. The basic theme of the paper includes music identifier system, its components, and different features along with emphasize on the methods, metrics, gener...

A statistical comparison for evaluating the effectiveness of linear and nonlinear manifold detection techniques for software defect prediction

International Journal of Advanced Intelligence Paradigms, 2019

Most of the software systems are released without predicting defects and therefore, this paper pr... more Most of the software systems are released without predicting defects and therefore, this paper presents a new effective technique - manifold detection technique (MDT) is essential and different than earlier applied defect prediction methods like regression, feature selection methods, etc. In this paper, performance of classifiers has been compared with or without MDTs to evaluate the effectiveness of different MDTs (linear and nonlinear) by reducing the dimensions of software datasets. In this process, eight classifiers were applied to four PROMISE datasets to determine the best performing classifier with respect to prediction performance measuring factors (accuracy, precision, recall, F-measure, AUC, misclassification error) with or without MDTs. The experimental results statistically tested by paired two-tailed t-test proved that FastMVU is the most accurate result producing technique as compared to all other nonlinear MDTs and Bayesian network (BN) is the most effective technique for software defect prediction using with or without MDTs.

Comparison of Software Quality Models: An Analytical Approach

With the objective of presenting qualitative software system most of the software producers have ... more With the objective of presenting qualitative software system most of the software producers have endeavoured and infact this is their main purpose. Software quality is having multi-dimensional content which may be distinguished and measured easily. To be specific, with the idea of determining the multidimensional content in a more exact pattern various qualitative models have been presented by virtue of which different aspects of this matter have been attempted to be investigated properly. Practically as because there are existences of different models which have used different expressions the comprehension of this basic content have become to some extent hard or difficult. Attempts have been made in this particular paper to introduce some models that have been mentioned and more clearly analysis the qualitative characteristics and side-by-side determine the software quality along with the analytical comparison of these models. This paper may serve the purpose of a reference for investigating software quality and its related models.

Comparative Analysis of K-Means and Fuzzy C-Means Algorithms

International Journal of Advanced Computer Science and Applications, 2013

In the arena of software, data mining technology has been considered as useful means for identify... more In the arena of software, data mining technology has been considered as useful means for identifying patterns and trends of large volume of data. This approach is basically used to extract the unknown pattern from the large set of data for business as well as real time applications. It is a computational intelligence discipline which has emerged as a valuable tool for data analysis, new knowledge discovery and autonomous decision making. The raw, unlabeled data from the large volume of dataset can be classified initially in an unsupervised fashion by using cluster analysis i.e. clustering the assignment of a set of observations into clusters so that observations in the same cluster may be in some sense be treated as similar. The outcome of the clustering process and efficiency of its domain application are generally determined through algorithms. There are various algorithms which are used to solve this problem. In this research work two important clustering algorithms namely centroid based K-Means and representative object based FCM (Fuzzy C-Means) clustering algorithms are compared. These algorithms are applied and performance is evaluated on the basis of the efficiency of clustering output. The numbers of data points as well as the number of clusters are the factors upon which the behaviour patterns of both the algorithms are analyzed. FCM produces close results to K-Means clustering but it still requires more computation time than K-Means clustering.

Diffusion-induced modulational instability in magnetised semiconductor plasmas: effect of carrier heating

The European Physical Journal D, 2010

The present paper is aimed to the exploration of modulational amplification in transversely magne... more The present paper is aimed to the exploration of modulational amplification in transversely magnetised diffusive semiconductors. By considering that the origin of modulational interaction lies in the third-order optical susceptibility χ (3) arising from the nonlinear diffusion current density and using coupled mode theory, an analytical investigation of frequency modulational interaction between co-propagating laser beams and internally generated acoustic mode is presented. We have studied the steady state and transient amplification characteristics of modulated waves arising in the transversely magnetised semiconductor plasmas. The effect of carrier heating adds new dimensions to the present study. The heating effect reduces the required threshold amplitude of wave and enhances steady-state as well as transient gain of the generated acoustic mode.

A Nonlinear Manifold Detection based Model for Software Defect Prediction

Procedia Computer Science, 2018

Software defect prediction requires developing a new technique which aims at accurately predict d... more Software defect prediction requires developing a new technique which aims at accurately predict defective modules in software system with minimum time and space complexity as well as lesser computational cost. As such, a new model based on Nonlinear Manifold Detection Techniques has been proposed to eliminate undesirable and irrelevant attributes of high dimensional datasets by dimension reduction with more prediction accuracy and improved software quality. In this paper, a novel step towards achieving the goal by developing a new model based on Nonlinear MDTs and comparing its effectiveness with existing Feature Selection techniques for identifying the most accurate defect prediction method. The performance of different classification methods with both new and existing techniques has been evaluated, compared and also tested statistically by using Friedman test and Post Hoc analysis. The result proved that new proposed model based on Nonlinear MDTs is better performance oriented compared to accuracy level of all other techniques.

Object Oriented Software System Based on Ahp

In modern days as because there are multiple number of object-oriented software systems, it is a ... more In modern days as because there are multiple number of object-oriented software systems, it is a real challenge for everyone to choose single one system among so many and variety of alternatives. This is obviously a challenging task to find out the most appropriate software system. In this particular study Analytical Hierarchy Process (AHP) technique has been integrated with ISO 9126-1 and it has been applied for the purpose of selection of object oriented software system. In this process the basic features i.e. quality characteristics of ISO 9126-1 has to be identified and considered to formulate a set of rank for the object-oriented software system. To be specific the most appropriate object-oriented software system may be termed as number one rank based on its desirable features as against many other alternatives of the object-oriented software systems. KeywordsObject-Oriented software system; AHP; ISO 9126-1; Quality characteristics; Maintainability.