Journal of Software Engineering Tools & Technology Trends
Journal of Software Engineering Tools & Technology Trends (JoSETTT) ISSN: 2394-7292 Click here for complete Editorial Board Scientific Journal Impact Factor (SJIF): 6.076 Journal of Software Engineering Tools & Technology Trends (JoSETTT) is a journal focused towards the rapid publication of fundamental research papers on all areas of Software Engineering Tools & Technology. It's a triannual journal, started in 2014. Journal DOI no.: 10.37591/ JoSETTT Focus and Scope Cover Software evaluation Techniques Software and complexity measures System Analysis Specification languages Cloud computing File and data structure design, Systems analysis tools Software development, coding, verification and integration Object Oriented Methodology System Development Methods Web Database Programming Programming Concepts in C++ Object Oriented Development with Java Readership: Graduate, Postgraduate, Research Scholar, Faculties, Institutions, and in IT Companies. Indexing: The Journal is index in DRJI, Google Scholar Submission of Paper: All contributions to the journal are rigorously refereed and are selected on the basis of quality and originality of the work. The journal publishes the most significant new research papers or any other original contribution in the form of reviews and reports on new concepts in all areas pertaining to its scope and research being done in the world, thus ensuring its scientific priority and significance. Manuscripts are invited from academicians, students, research scholars and faculties for publication consideration. Papers are accepted for editorial consideration through email info@stmjournals.com or nikita@stmjournals.com Abbreviation: JoSETTT Frequency: Three issues per year Peer Reviewed Policy Editorial Board Instructions to Authors Publisher: STM Journals A division of: Consortium eLearning Network Private Ltd Address: A-118, 1st Floor, Sector-63, Noida, Uttar Pradesh-201301, India Phone no.: 0120-4781-240/ Email: nikita@stmjournals.com
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Image Retrieval by Matching Sketches and Images
The proposed system provides a unique scheme for Content based image retrieval (CBIR) using sketches. CBIR is the application of computer vision to the image retrieval problem is the problem of searching for digital images in the large database. Content based means; the search will analyze the contents of the images. The term ‘content’ may refer to colors, shapes, textures or any other information that can be derived from the image itself. The main aim of CBIR is to extract visual content of an image automatically like color, texture, shape or any combination of them. The goal is to retrieve all the images whose content is similar to those of query image. Even a query sketch which is given as input will display related images from the frequently used database. Sketch will be drawn in a provided drawing area in the proposed system. Keywords: CBIR, query image, preprocessing, content
Finest Round Robin Scheduling Algorithm using Effective Time Quantum
Scheduling is a most important task of operating-system function. Almost all computer resources are scheduled before use. CPU scheduling is the main task of multi -programmed operating systems. By switching the CPU among processes, the operating system can make the computer more effectively [1]. The CPU is one of the primary computer resources so its scheduling is central to operating-system design. In a simple computer system, the CPU then just sits idle. All this waiting time is wasted, no useful work is accomplished. With multiprogramming, we try to use this time productively. Several processes are kept in memory at one time. When one process has to wait, the operating system takes the CPU away from that process and gives the CPU to another process. Every time one process has to wait, another process can take over use of the CPU. In this paper, we have proposed an Finest Round Robin scheduling algorithm using Effective Time Quantum (FRRETQ) for Efficient CPU Utilization, less average waiting time and turnaround time of each process and minimum number of context switches taken to complete all processes than compare to Simple round robin and Adaptive round robin scheduling algorithms. Keywords: Scheduling, Multiprogramming, Simple round robin, Adaptive round robin, waiting time, Context switch, Turnaround time
Image Interpolation and Object Recognition Approach based on SAI Algorithm with Normalized Cross Correlation
This paper mainly deals with producing quality of an image using soft-decision interpolation technique and also identifying the particular object in that image with the help of Normalized Cross Correlation. the use of image interpolation, to reserve spatial details. Identifying the missing pixels in an image one by one for many times, we are proposing the new technique, identifying missing pixels in a group. This new technique can be applied to different screen structures by the use of 2-D piecewise autoregressive model. The result of this approach is similar to the 2-D interpolation filter. This approach is better than the existing approaches and it produces best results with visual quality. Some images may contain blurring, ridges, ringing are fully reduced in these images. Now we have quality image, on this image we are recognizing a particular object in that image. To identify the object Normalized Cross Correlation is used. The aim of object recognition is to identify object and estimate their location and orientation. Keywords: Autoregressive process, Image Interpolation, Soft-Decision Estimation, Object Recognition, Normalized Cross Correlation.
Image Encryption using Quadtree Compression Technique without any Key Management
Now-a-days maintaining the confidential data is a very tough task. When it comes to images, maintaining confidentiality and secrecy is equally difficult. In general there are two approaches being followed for image encryption. One is encrypting the image using encryption algorithms with keys and other is dividing the image into random shares. But these approaches are having limitations like in first model, high computation cost and in second model poor quality. To overcome these problems we need to brainstorm another approach, which is called Keyless Approach to Image Encryption. In this approach it involves Compression, Sieving, Division and Shuffling, reducing the computations and also the image will be recovered without any loss of image quality. Keywords: Visual cryptography, sieving, division, shuffling, image quality, compression.
Autopoiesies Aspects on Agile Software Development Teams
Self-organizing teams have been recognized and studied in various forms. The brief history of self-organizing teams and their recent popularity with agile method warrants some amount of research in this paper within software engineering. In particular; there is an increased interest in research on agile software development teams. In dearth of research on self-organizing in agile teams, this paper shows; how agile teams organize themselves. This paper presents results of a grounded theory, study involving the 58 agile practitioners from 23 different software organizations in New Zealand and India conducted over period of four years. In this paper, agile methods are developed as response to the weakness of traditional software development models. Agile methods are better than the traditional software development models and provide changes through an iterative and incremental style of development. It allows the iterations to focus on this prioritized customer. Agile methods encourage continuous customer involvement and feedback. Some flavors of agile methods included in this paper are: Dynamic software development method (Dsdm), Feature driven development (Fdd), Adaptive software development. These roles of Autopoisies are: 1. Mentor, Co-coordinator, 2. Translator, 3. Champion, Promoter, and Terminator. Keywords: Self-organizing, team roles, software engineering, Agile software development, grounded theory
Fuzzy Minimum Spanning Tree Problem: A Greedy Algorithm using Quasi-Gaussian Fuzzy Weights
The classical Minimum Spanning Tree Problem (MST) deals with determining the spanning tree in a given undirected graph G(V, E) for which the sum of the weights assigned to the edges is minimum. The weights assigned to the edges are real numbers representing parameters like demand, cost, link capacity and distance which are not naturally precise and the uncertainty involved can be modelled using fuzzy numbers. There are several types of fuzzy numbers (like Triangular, Trapezoidal etc.) which provide for easy calculations but in this paper we have used Gaussian fuzzy numbers for two important reasons. Firstly, it is easy to analyse because it is continuous and differentiable and provides for efficient gradient based optimization and secondly it is simpler to represent because it requires fewer parameters. MST finds a lot of practical applications e.g. in network design (telephone, TV cables etc.), in cluster analysis and in solving problems like travelling salesman problem. It is beneficial to limit the support of the Gaussian function and derive a new category called Quasi-Gaussian Fuzzy Number (QGFN) and apply it to the MST problem. QGFN is finitely supported i.e. the value of x beyond - 3σl and + 3 σr is set to zero where is the modal value, σl and σr denote the left and right spreads, respectively corresponding to the Gaussian Distribution’s standard deviation. In this paper we have presented a greedy algorithm that uses QGFN and a Link Preference Index to solve MST in time using adjacency matrix, in time using binary heap and adjacency list and in time using Fibonacci heap and adjacency list. Keywords: Fuzzy minimum spanning tree, quasi-gaussian fuzzy number, link preference index
Design Fault Management using DS Fault Scrutinize and DCE Diversy Model
Day by day the numbers of software systems are increasing in IT Industry, but the successful software developing is very low as per enrollment of system. There are various crucial reasons behind it. One of them is fault reside or arise within system. Faults can reside and arise anywhere anytime. In this research, the requirement writing to design creation of system is represented with few supported elements to enhance the basic SDLC phases. Firstly, this research focuses on system development life phase by embedding with fault phase. The Design, Code and Environment (DCE) diversy Model will manage the faults at specific phase. DCE diversy Model will not pass faults in next phase. On occurrence of faults it will follow specific diversy. Further in this research, enlightening about the importance of design and specification along with design issues. An effective and precise specification of requirements is indispensable for the appropriate system design. Design faults must be identified before testing. Faulty design should not carry to code section. Now, the exploration of design diversy and monitoring the design specification of system by Requirements to Design Specification (DS) Fault scrutinize model. It uses various listener and logs with fault listener and fault log to manage the faults within system. Keywords: Fault, design, diversy, specification, system life phase
Pattern Extraction and Classification of ECG Signals using Neuro-Fuzzy Techniques
Electrocardiography is a technique which provides the interpretation of the electrical activity of the heart over a period of time. The condition of cardiac health is given by Electrocardiogram (ECG) and heart rate. This paper represents the techniques, which extracts features from the ECG signals and classify them. ECG signal were taken from preselected data segment of the MIT‐BIH Arrhythmia Database. Pattern extraction provides the PQRST-wave values, heart rate and the intervals of the ECG signals, which are useful to calculate the cardiac health of the patient. In the result section, it was shown that two different techniques were applied for comparative study of Artificial Neural Network (ANN) as well as Fuzzy Interface System (FIS) on the same ECG signal. ANN and FIS classifier was used for the classification and an accuracy of 95.69% and 97.87% was achieved, respectively. Keywords: Electrocardiography, cardiac, ECG, PQRST-wave, ANN
Struts based Approach for the Development of Java Applications
This paper presents a procedural approach to develop a java based application using the Struts Framework. The struts framework is used to develop MVC based web application. The model view controller (MVC) is a fundamental design pattern for the separation between user interface logic and business logic. A strut is an elegant, extensible framework for creating enterprise Java applications. The framework is designed to streamline the full development cycle, from building, to deploying, to maintaining applications. Our research study shows that applying multiple frameworks to design the applications using MVC concepts makes applications easier compared to a single framework. In recent trends, more research papers have been proposed, which employs a new and fast process to implement web architecture and to avoid framework. Keywords: Java, Struts1, Struts2, MVC, Interceptor, POJO, ONGL, Web, Framework
Cloud Computing in Library and Information Science
IT sector have affected on developing countries. India have also affected by Information technology. Internet, networking Android system, advance software and Cloud Computing these new inventions affected on human being day to day life style. Higher education is basic need of our country and information science also affected on this area. Today we will see that every single second invented new subject and new technology rapidly. Information and knowledge has no boundary and no any limitation. According to research scholars, readers and normal human being also want to update our knowledge time to time and want all new information related to any subject or new technology. Library is resource to provide information and its related material to research scholars and its users. We know that information and its related material has no limitation it’s very hard to provide all information and update our users. Library is growing Organization but a traditional library has some boundaries. They have limited resource and limited income source. So it’s not easy to provide all information and its material to users. For this difficulty in information technology is very usefully. In short we says that problem is worked as like solution. I mean information explore information and create difficultly but in other side it can really helpful. Cloud Computing is new technology in information science and its more effective and helpful in libraries. In this Paper we will discuss what is cloud computing and how it can helpful and useful in library and information science. What is the major deference between Digital Library and Cloud Computing? Keywords: cloud computing, digital library, information technology
Requirement of the Dynamic Metrics to Measure the Behaviour of Component-based Software
Software component has been developed lively. Component-based Software Development (CBSD) is becoming more generalized, representing a considerable market for the software industry. However, the measurements of software components have become an integral part of software development and are used during every phase of the software development life cycle. With the help of conventional static metrics we are not able to analyse various facts of software. It is very important to understand the dynamic behaviour of the program or an application in developing new effective strategies in computer science. This paper introduces the foundation dynamic metrics. In this paper we will discuss the various aspects for software metrics, and the comparison between static and dynamic metrics. The main aim of the paper is identify the different requirements for the dynamic metrics for a Component-Based Software Development. These requirements play the important role to describe the dynamic behaviour of Component-Based Software. Keywords: Software Component, CBSD, Static Metrics, Dynamic Metrics.
A Fuzzy Logic Approach to Measure the Complexity of Component-based Software
Component-Based Software (CBS) Development is now a widely accepted software methodology to manage the increasing complexity and maximize the reuse of code. This paper presents a complexity metric combined with three submetrics for measuring the complexity of a CBS. This complexity metric incorporates three key aspects—coupling, cohesion and interface complexities. To automate the complexity measurement of a CBS, a tool has been developed using fuzzy logic. For this tool, a set of rules has been defined as a rule base. The complexity of a majority of CBS applications can be measured using this tool. Keywords: Component-based software (CBS), complexity, coupling, cohesion, fuzzy logic
Child Welfare Management Application Based on Android
The aim of the kids’welfare association is to shield the simplest interest of the kids and to push the soundness among the kids. We have a tendency to believe in a world where each kid will scan. Through the kids’welfare association, our mission is to develop a system where we will invest in infancy education so as toempower the succeeding generation. This is often achieved by making instructional programs and providing necessary resources in underclass areas. This technique can keep all the records of the children’s activities happening monthly, scholarships, and donations. Mainstreaming the children inside the public structure by giving consideration, support,and protection through shelter, food, and education is our mission. Their basic desires are met and they are going to get new life through gaining data, occupational skills,and life skills. They are going to get love and affection as if their oldsters offer. Their confidence level can increase and become sensible quality to the community. They will develop physically and psychologically and create pretty much as good and productive voters. They are going to inspire by financial aid,and show humanity towards the community.
The Android app comes as a proposed solution to drug addict people who cannot afford psychological treatment and who are afraid to describe themselves as drug addicts in society. The system is designed to act as aconsultation or referral. The system consists of four modules: home module, user module, counseling module, and admin module. We seek in our project to provide online environments for those who know about drugs that helped a couple of drug-free people who also allow adolescents to be led by a psychologist.
The Overview of Software Testing: Types, Methods, and Levels
Software development life cycle (SDLC) is a software development model consisting of different phases i.e., analysis, design, coding, testing, deployment, and maintenance. The analysis phase is the primary phase in which all the requirements aregathered and analysed which is further used for designing and coding. The next phase is testing.Software testing is a process of evaluating software so as to check whether it satisfies the requirements of the customer or not and also to find the errors, defects, bugs, etc. Software testing is used to improve the quality and accuracy of the software. Software testing can be done manually or automated. There are many reasons why software testing is important like for security, satisfaction of the customer, enhancing the development process, to check whether all modules and features of the software are running properly or not. Software testing does not deal only with the functional part like unit testing, integration testing, etc. but it is also used to check the non-functional aspects like performance, compatibility, usability, etc. This paper presents the different types of software testing i.e., functional and non-functional, methods, and levels of software testing.Comparison betweensoftware testing methods like Black Box, White Box, and Gray Box are also explained.
Role of E-Learning-Virtual Classroom Teaching During COVID-19
The cross country COVID-19 lockdown has constrained K-12 schools and colleges to close and send their understudies home which, thus, has affected more than 91% of the world's understudy populace. The closure has placed unprecedented challenges on governments, institutions, teachers, parents and caregivers around the world. During COVID-19 education has become the most important issue in the world. Due to the dire effects of corona virus all the education institutes are shut down with no deadline to reopen. Every student, parents and teachers are worried about the prevailing uncertainty of physical classroom teaching. To bridge this gap, online E-learning is the best suited tool for teachers and learners. E-learning can be characterized as the utilization of instructive advances to configuration, convey, and oversee both formal and casual learning and information sharing whenever, any speed and any spot. E-learning activities are designed to fit the specific context for learning, the nature of the subject matter; need and goals of the learner, the learner’s environment and instructional technologies methods.
Physiotherapy is a kind of treatment that revolves around the science of movement and aids people by reinstating, rehabilitating, and maximising their physical strength, function, movement, and overall well-being by addressing the underlying issues. Physical therapy management commonly includes prescription or assistance in performing exercises. Physiotherapists work with their patients by preparing fitness programs, developing dietary, and various other lifestyle changes to help their patients recover and prevent the loss of mobility before it occurs by providing services to individuals and populations to improve, keep up, and reinstate maximum mobility and functional ability throughout their lifespan. This includes various services such as providing therapeutic treatment under the circumstances where movement and normal functioning is threatened by various adverse events such as aging, injury, disease, or environmental factors. In this paper, we present an interactive computer vision-based application which with the help of pose estimation will be able to assist any user in performing physiotherapy exercises in the comforts of their own homewhere the patient can perform the exercise anywhere and anytime at his own convenience independently without any human intervention.
Smart Power: An Efficient DC Power System
Abstract Attempting to reduce energy losses, as well as rapid resource demands rise has been a problem worldwide in recent years. To solve this problem, Smart Power is designed to make an efficient DC Power System. Smart Power scheme has achieved a reduction of cost in the DC power system and also increased efficiency of the overall power system. In Smart Power, in place of a synchronous generator, a high-efficiency interior permanent magnet (IPM) generator is used. To increase efficiency and reduce initial cost, Smart Power uses Rectifier, Boost converters, DC transmission line, Buck converter, and Distributed inverters. Smart Power transmits in the DC power up to Energy meter, after that there will be an inverter that will convert DC power into AC power. In the future, there will be all residential and industrial area having solar PV system as well as windmill. Conventional power system may have a problem to synchronize with a solar PV system and also, AC power cannot be stored in battery. In the Smart Power system, there will be an easier way to synchronize the renewable energy sources and nonrenewable energy sources. In the Smart Power system, there will only one condition to be satisfied for the synchronization of two-line which is the same voltage level. Keywords: Boost converter; buck converter; efficient DC power system; HVAC transmission; HVDC Transmission; inverter; rectifier; renewable energy; smart grid; Smart Power Cite this Article Hardikkumar V. Mehta, Krutika K. Mehra, Tirth R. Doshi, Hetul P. Suthar. Smart Power: An Efficient DC Power System. Journal of Software Engineering Tools & Technology Trends. 2020; 7(3): 1–7p.
Dynamic Analysis Based Software Modularization Augmenting Weighted Module Dependency Graphs
Abstract The requirements for systems change over time and as the software systems evolve their designs degenerate, making it necessary to restructure the system to recoup with the apprehension that was lost. Without complete knowledge of a software system, a software maintainer may find it difficult to modify the system. A complete understanding of the system is must before making any change to the placement structure of software components and entities. The process of reverse engineering starts with an analysis phase where a system is analyzed by extracting its structure using automated tools. It is very crucial for the developers to understand the system structure before making an attempt to modify it. The dependency structure can be viewed as a directed Module dependency graph (MDG). This research focuses on enriching the MDG for a better understanding of the system structure by assigning different weights to different kind of code dependencies. To each kind of coupling relation different weights are assigned. A naive function has been defined to generate weighted MDGs. The MDGs are generated using static as well as dynamic analysis. Using these graphs for software re-modularization tests the effectiveness of approach.
Home-Automation System for Renewable Energy Self-Consumption Optimization
Abstract One of the largest problems regarding the distributed production of renewable energy is that the effective employment of the produced energy. Usually, this energy is reintroduced within the grid with an obstacle for the producer. During this scenario, we propose an approach that aims at exploiting the whole energy production reintroducing into the grid only the part in excess. The proposed solution is predicated on a tool, called energy switch, that permits a change of the electrical energy source of a system like one linked to both photovoltaic and classical energy grid. This operation needs many considerations for warranting a right energy and avoiding energy lacks potentially dangerous for the appliances. Particularly the system must be able to recognize the situations within which it is possible to use the cheaper source without causing an energy lack to the system. Within the proposed solution, the input file for the system are given by the OMeter stations made by this purpose Over Technologies, a spin-off of Sapienza University. A working type of the energy switch has been built for future empirical test about its efficiency. The system reduces the matter of choosing which lines to attach to which energy source to the knap-sack problem. The performance of the system is evaluated, checking power supply or, on the contrary.
Assessment of Voltage Stability and Event Detection in Distribution Grid with Penetration of Renewable Energy Sources
Abstract In this paper we proposed a method which is based on FFT (Fast Fourier Transform) analysis for the assessment and detection of outage of renewable energy, islanding event and grid synchronization of renewable energy. The Voltage signals should be measured, and features extracted are realized to assess the power quality disturbance associated with various events. Operational events are detected with the help of features extracted from the FFT analysis of the measured voltage at substation bus. An FFT analysis based various operational events assessed and detected. This proposed method has been tested successfully on IEEE-09 bus system with necessary modification to integrate wind and solar PV generators to form the hybrid power system. The load flow is done by forward backward sweep method. Simulation results are validated in real time environment with practical data.
Software Quality Assurance and Systemic Review
Abstract Quality is most of the important factor in industries now a day. Software industries have to work on quality assurance and control, as day by day variety of software is developed and drawn in the market. To satisfy the growing demand and need of customer in today's competitive world companies have to concentrate on the software quality, which is checked while the development of software. Software quality depends upon customer satisfaction which can be achieved through applying standards. With increasing demand for software products with high “Quality”, it has become imperative for organizations to adopt quality models like (International Standard Organization) ISO 9001, (Capability Maturity Model Integration) CMMI or Six Sigma etc. to set and sail on their quality journey. While designing, the architect should analyze the system requirements before committing the resources to it. The analyzing process helps us to ensure the high quality of architecture design. Software testing is an important technique for assessing the quality of a software product. For maintaining the quality, performance, speed, efficiency, and cost of the software quality Assurance activities, principles, and methods are implemented in the early stages of software engineering development phases. The Software Engineering Institute (SEI) Maturity Model and other standards are relevant in understanding the importance and roles of the quality group.
An Enhanced Application Oriented Predictive Analytic using Optimal Deep Learning Model
In order to presents better Predictiveanalytic models of different data using various machine learning algorithms. The data prediction is developed on various applications. These applications are facing many challenges while collecting data and data selection etc. The proposed prediction model involves several phases like (a) Data acquisition, (b) Data cleaning, (c) Data normalization, (d) Optimal Feature selection, and (e) Prediction. The optimal feature selection will be accomplished by a new variant of meta-heuristic algorithm like Self Adaptive-Spider Monkey Optimization (SA-SMO) [26]. The optimally selected features will be subjected to an improved deep learning algorithm termed as Recurrent Neural Network (RNN). Keywords:Big data, Self Adaptive-Spider Monkey Optimization (SA-SMO), Recurrent Neural Network (RNN). Cite this Article: V.B. Bhagat, V.U. Deorankar. An Enhanced Application Oriented Predictive Analytic using Optimal Deep Learning Model. Journal of Software Engineering Tools & Technology Trends. 2020; 7(2): 5–10p.
In this paper, Big Data Management is studied. There is finite number of information in Big Data and correspondingly its method of analysis exists. Big Data Analysis (BDA) method is proposed in this paper. A compact method (K-Means Cluster, Generalised K-Means Cluster, C-Means, Fuzzy Means, Fuzzy Numbers, Fuzzy Set, Fuzzy Logic, Neural Network, Genetic Algorithm) based big data analysis is presented in this paper. There are four models are presented as, probabilistic model, possibilistic model, fuzzy model and variance model. A compact algorithm is illustrated also in this paper. Keywords: Big Data, K-Means Cluster, Generalised K-Means Cluster, C-Means, Fuzzy Means, Fuzzy Numbers, Fuzzy Set, Fuzzy Logic, Neural Network, Genetic Algorithm. Cite this Article: Swati Jain, Sunil Kumar Kashyap. Big Data Management: Theory and Practice. Journal of Software Engineering Tools & Technology Trends. 2020; 7(2): 13–22p.
The present work will be directed the future plan towards the security. This study is presented as the application of the fuzzy set and cryptography both. Zadeh’s contribution was the landmark in the development of real mathematical application but today this has been applied in almost every field of the society. Hard mathematical problem interacts with the security of any cryptography. Such mathematical problems are; factorization, discrete logarithm, lattice, quantum etc. In this paper, Hard Mathematical Problem (HMP) transform into the class comprises with the fuzzy called the Fuzzy Hard Problem (FHP). The message and the FHP generate a new system referred as the discrete encryption. Keywords: Fuzzy, Cryptography, Discrete Logarithm, Factorization, Lattice, Quantum. Cite this Article: Ashutosh Pandey, Sunil Kumar Kashyap. Discrete Encryption. Journal of Software Engineering Tools & Technology Trends. 2020; 7(2): 11–12p.