Sunday, October 31, 2021

SLA-driven Load Scheduling in Multi-tier Cloud Computing: Financial Impact Considerations

 

Author :  Husam Suleiman and Otman Basir

Affiliation :  Applied Science Private University

Category :  Cloud Computing

Volume, Issue, Month, Year :  10, 1, April, 2020

Abstract :


A cloud service provider strives to effectively provide a high Quality of Service (QoS) to client jobs. Such jobs vary in computational and Service-Level-Agreement (SLA) obligations, as well as differ with respect to tolerating delays and SLA violations. The job scheduling plays a critical role in servicing cloud demands by allocating appropriate resources to execute client jobs. The response to such jobs is optimized by the cloud service provider on a multi-tier cloud computing environment. Typically, the complex and dynamic nature of multi-tier environments incurs difficulties in meeting such demands, 

Keyword :  cloud computing, Task Scheduling and Balancing, QoS Optimization, Resource Allocation, Genetic Algorithms

For More Details:


https://allconferencecfpalerts.com/cfp/view-paper.php?eno=5197


Friday, October 29, 2021

Deaf Speech Assessment Using Digital Processing Techniques

 

Author :  C.Jeyalakshmi, Dr.V.Krishnamurthi and Dr.A.Revathy

Affiliation :  Trichy Engineering College

Category :  Digital Signal & Image Processing

Volume, Issue, Month, Year :  1, 1, September, 2010

Abstract :


This paper mainly deals with analysis on acoustical characteristics of speeches of deaf people for the purpose of increasing the speech recognition rate. Since speech to text or sound system for a normal speaker is available, by designing a speech to text or sound system for deaf, they can make use of all computer aided devices and normal speakers can also communicate with them freely. 

Keyword :  Linear Prediction Coefficients(LPC), Pitch detection algorithm (PDA), Sub harmonic to harmonic ratio(SHR) ,Speech signal processing,

For More Details:https://allconferencecfpalerts.com/cfp/view-paper.php?eno=5193

A New Full Adder Cell for Molecular Electronics

 

Author :  Mehdi Ghasemi, Mohammad Hossein Moaiyeri and Keivan Navi

Affiliation :  Shahid Beheshti University G.C.

Country :  Iran

Category :  Computer science&Information Technology

Volume, Issue, Month, Year :  2, 4, December, 2011

Abstract :


Due to high power consumption and difficulties with minimizing the CMOS transistor size, molecular electronics has been introduced as an emerging technology. Further, there have been noticeable advances in fabrication of molecular wires and switches and also molecular diodes can be used for designing different logic circuits. Considering this novel technology, we use molecules as the active components of the circuit, for transporting electric charge. In this paper, a full adder cell based on molecular electronics is presented. 

Keyword :  Logic circuits, full adder, nanotechnology, molecular electronics, resonant tunneling diode (RTD)

For More Detail:https://allconferencecfpalerts.com/cfp/view-paper.php?eno=5196

Wednesday, October 27, 2021

Curriculum Semantic Retrieval System based on Distant Supervision

 

Author :  Qingwen Tian

Affiliation :  1365281523@qq.com

Country :  China

Category :  Computer science&Information Technology

Abstract :


Knowledge Graph is a semantic network that reveals the relationship between entities, which construction is to describe various entities, concepts and their relationships in the real world. Since knowledge graph can effectively reveal the relationship between the different knowledge items, it has been widely utilized in the intelligent education. In particular, relation extraction is the critical part of knowledge graph and plays a very important role in the construction of knowledge graph. According to the different magnitude of data labeling, entity relationship extraction tasks of deep learning can be divided into two categories: supervised and distant supervised. 

Keyword :  Knowledge Graph, Curriculum Points, Distant Supervision, Relation Extraction, Sentence Bag Attention Mechanism, Ontology

For More Information:https://allconferencecfpalerts.com/cfp/view-paper.php?eno=5194

Tuesday, October 26, 2021

FACEATLASAR: ATLAS OF FACIAL ACUPUNCTURE POINTS IN AUGMENTED REALITY

 

Author :  Menghe Zhang

Affiliation :  University of California

Country :  USA

Category :  Computer Science & Information Technology

Volume, Issue, Month, Year :  11, 07, May, 2021

Abstract :


Acupuncture is a technique in which practitioners stimulate specific points on the body. Those points, called acupuncture points (or acupoints), anatomically define areas on the skin relative to specific landmarks on the body. However, mapping the acupoints to individuals could be challenging for inexperienced acupuncturists. In this project, we proposed a system to localize and visualize facial acupoints for individuals in an augmented reality (AR) context.

Keyword :  Augmented reality, Acupuncture point, Face alignment, Hair segmentation.

For More Details:

 https://aircconline.com/csit/papers/vol11/csit110701.pdf

Saturday, October 23, 2021

MAPPING OUT O*NET DATA TO INFORM WORKFORCE READINESS CERTIFICATION PROGRAMS

Author :  Micheline Al Harrack

Affiliation :  Marymount University

Country :  USA

Category :  Computer Science & Information Technology

Volume, Issue, Month, Year :  11, 06, May, 2021

Abstract :

The Occupational Information Network O*NET did not explore possible uses of O*NET data to inform workforce readiness certification programs. In this study, the O*NET database is used to map out education requirements and how they relate to professional certifications as required by the employers and job designers in accordance with the National Initiative for Cybersecurity Careers and Studies (NICCS). The search focuses on the “Information Security Analysts” occupation as listed on O*NET, Careeronestop, U.S. Bureau of Labor Statistics (BLS), and finally tied back to NICCS source work role to identify certifications requirements. No site has listed any certification as required, desirable or mandatory. NICCS under the NICE Cybersecurity Framework Work Roles offered general guidance to potential topics and areas of certification. Careeronestop site under certification finder provided the ultimate guidance for this role certification. Professional certifications are still not an integral part of the Cybersecurity Workforce Framework official guidance.

Keyword :  Occupational Information Network O*NET, NICE Framework, NICCS, Certification & Information Security Analyst.

For More Details https://aircconline.com/csit/papers/vol11/csit110610.pdf

Friday, October 22, 2021

A NEW LIDAR-BASED APPROACH FOR POLES AND DISTRIBUTION LINES DETECTION AND MODELLING

 

Author :  Mohamed Gaha

Affiliation :  Hydro-Quebec Research Institute, Quebec

Country :  Canada

Category :  Computer Science & Information Technology

Volume, Issue, Month, Year :  11, 06, May, 2021

Abstract :


Vegetation is the major cause of overhead power line failures. According to a recent HydroQuebec analysis, more than 60% of the power outages are related to vegetation. Specifically, when branches/trees nearby the distribution network interact with extreme weather conditions, e.g., melting snow and heavy rain, they may bend and cause power outages. To ensure the reliability of our distribution network,

Keyword :  Mobile LiDAR, power lines, distribution lines detection, poles detection, distribution lines modelling.

For More Details:https://allconferencecfpalerts.com/cfp/view-paper.php?eno=5189

A NEW LIDAR-BASED APPROACH FOR POLES AND DISTRIBUTION LINES DETECTION AND MODELLING

Author :  Mohamed Gaha

Affiliation :  Hydro-Quebec Research Institute, Quebec

Country :  Canada

Category :  Computer Science & Information Technology

Volume, Issue, Month, Year :  11, 06, May, 2021

Abstract :

Vegetation is the major cause of overhead power line failures. According to a recent HydroQuebec analysis, more than 60% of the power outages are related to vegetation. Specifically, when branches/trees nearby the distribution network interact with extreme weather conditions, e.g., melting snow and heavy rain, they may bend and cause power outages. To ensure the reliability of our distribution network, millions of dollars are yearly spent for pruning trees and trimming branches. Aiming to reduce these costs, we recently adopted a new approach based on light detection and ranging (LiDAR) data. Indeed, we scanned 150 km of Hydro-Quebec’s network using a mobile LiDAR system. Through data analysis, we target automatic detection of hot spots, i.e., locations of threatening branches to distribution lines. However, such an operation cannot be accurately completed without a prior efficient detection of poles and lines locations, even for incomplete or missing LiDAR data. Hence, we propose here a low-complex and robust method for poles/distribution lines detection and lines modelling. Through customized filtering and detection, we efficiently detect poles and distribution lines with high accuracy and recall. Indeed, poles are detected with an accuracy of 94.5% and a recall of 89.7%, while lines are detected with an accuracy of 84% and a recall of 98.9%. Finally, our approach reconstructs power lines with a distance deviation from the real ones below 20 cm, in 89% of the cases. Such accuracy is required to automatically evaluate the closeness of vegetation to distribution lines and prevent power outages.

Keyword :  Mobile LiDAR, power lines, distribution lines detection, poles detection, distribution lines modelling.

For More Detailshttps://aircconline.com/csit/papers/vol11/csit110607.pdf

The Difference of Machine Learning and Deep Learning Algorithms

 

Author :  Yew Kee Wong

Affiliation :  HuangHuai University

Country :  China

Category :  Computer Science and Information Technology

Abstract :


In the information era, enormous amounts of data have become available on hand to decision makers. Big data refers to datasets that are not only big, but also high in variety and velocity, which makes them difficult to handle using traditional tools and techniques. Due to the rapid growth of such data, solutions need to be studiedand provided in order to handle and extract value and knowledge from these datasets. 

Keyword :  Artificial Intelligence, Machine Learning, Big Data Analysis.


2nd International Conference on IoT, Blockchain & Cloud Computing (IBCOM 2021)

 2nd International Conference on IoT, Blockchain & Cloud Computing (IBCOM 2021)

                     November 20 ~ 21, 2021, Zurich, Switzerland

               https://iccsea2021.org/ibcom/index

Important Dates

Submission Deadline:October 23, 2021
Authors Notification:November 05, 2021
Final Manuscript Due:November 10, 2021




Contact Us:ibcom@iccsea2021.org

For More Details:https://allconferencecfpalerts.com/cfp/view.php?eno=30892

Wednesday, October 20, 2021

FUNCTIONAL AUTOMATION TESTING OF PALACE PROPERTY MANAGEMENT SOFTWARE

Author :  Divya Podduturi

Affiliation :  AGI Institute, Auckland

Country :  New Zealand

Category :  Computer Science & Information Technology

Volume, Issue, Month, Year :  11, 06, May, 2021

Abstract :

Till today, there are many web applications developed and tested so that end- user gets maximum user-friendly experience and satisfaction. For testing these applications and their functionalities manual testing is not always feasible. To overcome the challenge. Automation testing is used in which the testing process is automated with minimal manual intervention. Regression testing is deployed to perform the testing for routine flow of an application and when new features are added then automation testing becomes very useful. The focus of this study on automation testing. With the help of Selenium Web driver scripts are executed and reports are generated. The default reports do not show any graphical representation of results. Hence, the main idea behind this study is to focus on automation testing with the combination of Selenium Web driver, Maven, TestNG and Page Object Model which provides cutomised results to our study.

Keyword :  Automation testing, Regression testing, Visual Studio, C#, Selenium Web driver, Agile- Scrum.

For More Detailshttps://aircconline.com/csit/papers/vol11/csit110606.pdf

Monday, October 18, 2021

12th International Conference on Ubiquitous Computing (UBIC 2021)

 12th International Conference on Ubiquitous Computing (UBIC 2021)

November 20 ~ 21, 2021, Zurich, Switzerland

https://iccsea2021.org/ubic/index

Important Dates

Submission Deadline:October 23, 2021
Authors Notification:November 05, 2021
Final Manuscript Due:November 10, 2021
Contact Us:ubic@iccsea2021.org

For More Details:https://allconferencecfpalerts.com/cfp/view.php?eno=30899

Development of an Autism Screening Classification Model for Toddlers

 

Author :  Afef Saihi and Hussam Alshraideh

Affiliation :  American Universityof Sharjah

Category :  Computer science&Information Technology

Volume, Issue, Month, Year :  11, 15, September, 2021

Abstract :


Autism spectrum disorder ASD is a neurodevelopmental disorder associated with challenges in communication, social interaction, and repetitive behaviors. Getting a clear diagnosis for a child is necessary for starting early intervention and having access to therapy services. However, there are many barriers that hinder the screening of these kids for autism at an early stage which might delay further the access to therapeutic interventions. 

Keyword :  Autism Spectrum Disorder, Screening, Machine Learning, Decision Tree, Random Forest, Neural Network, Classifier, Accuracy.




Sunday, October 17, 2021

8th International Conference on Wireless and Mobile Network (WiMNET 2021)

 8th International Conference on Wireless and Mobile Network (WiMNET 2021)

     October 29 ~ 30, 2021, Vienna, Austria

https://comit2021.org/wimnet/index

Important Dates

Submission Deadline:October 16, 2021(Final Call)
Authors Notification:October 23, 2021
Final Manuscript Due:October 24, 2021

Contact Us:Wimnet@comit2021.org

For More Details:https://allconferencecfpalerts.com/cfp/view.php?eno=30727




 

An Acceleration Method Based on Deep Learning and Multilinear Feature Space

 

Author :  Michel Vinagreiro

Affiliation :  Escola Politecnica da Universidade de Sao Paulo (EPUSP)

Category :  Computer Science & Information Technology

Volume, Issue, Month, Year :  12, 5, September, 2021

Abstract :


Computer vision plays a crucial role in Advanced Assistance Systems. Most computer vision systems are based on Deep Convolutional Neural Networks (deep CNN) architectures. However, the high computational resource to run a CNN algorithm is demanding. Therefore, the methods to speed up computation have become a relevant research issue. Even though several works on architecture reduction found in the literature have not yet been achieved satisfactory results for embedded real-time system applications. 

Keyword :  Convolutional Neural Networks, Deep CNN model Acceleration, Advanced Driver Assistance Systems

More Details:

https://aircconline.com/ijaia/V12N5/12521ijaia02.pdf



Friday, October 15, 2021

Call For Papers-7th International Conference on Artificial Intellegence and Soft Computing(AISO 2021)

 

7th International Conference on Artificial Intelligence and Soft Computing (AISO 2021)

October 29 ~ 30, 2021, Vienna, Austria


Important Dates

Submission Deadline:October 16, 2021
Authors Notification:October 23, 2021
Final Manuscript Due:October 24, 2021

Contact Us:aisco@comit2021.org

More Details:https://allconferencecfpalerts.com/cfp/view.php?eno=30718


Evaluation of a Blockchain-Enabled Resource Management Mechanism for NGNs

 

Author :  Michael Xevgenis

Affiliation :  University of West Attica

Country :  Greece

Category :  Networks & Communications

Volume, Issue, Month, Year :  13, 5, September, 2021


Abstract :


A new era in ICT has begun with the evolution of Next Generation Networks (NGNs) and the development of human-centric applications. Ultra-low latency, high throughput, and high availability are a few of the main characteristics of modern networks. Network Providers (NPs) are responsible for the development and maintenance of network infrastructures ready to support the most demanding applications that should be available not only in urban areas but in every corner of the earth. The NP’s must collaborate to offer high- quality services and keep their overall cost low. The collaboration among competitive entities can in principle be regulated by a trusted 3rd party or by a distributed approach/technology which can guarantee integrity, security, and trust. This paper examines the use of blockchain technology for resource management and negotiation among NPs and presents the results of experiments conducted in a dedicated real testbed. 

Keyword :  Blockchain, NGNs, Resource management, Consensus, Performance


For More Details: 

  https://aircconline.com/ijnsa/V13N5/13521ijnsa01.pdf







IOT-BDMS: SECURING IOT DEVICES WITH HYPERLEDGER FABRIC BLOCKCHAIN

Author :  Nathalie BANOUN

Affiliation :  Department of Research and Innovation, Capgemini

Country :  France

Category :  Computer Science & Information Technology

Volume, Issue, Month, Year :  11, 06, May, 2021

Abstract :

IoT is a rapidly evolving field with an increasing number of connected devices. This naturally leads to a need to ensure good scalability but also to guarantee the identity of devices, for better security. Most of existing solutions for identifying IoT devices are centralized (CA server), which results in lower fault tolerance and in less scalability. To address these issues, we introduce in this paper a new IoT Device Management System based on the Blockchain technology (IoT-BDMS). Our system offers two services through two Smart Contracts deployed on a multi-channel Hyperledger Fabric network: an Identification Smart Contract (ISC) to manage the devices identities stored over multiple channels, and an Authentication Smart Contract (ASC) to validate authentication requests from devices. An identity is generated by involving the actors of the device’s ecosystem and evolves according to the device’s lifecycle.

Keyword :  Blockchain, IoT Security, Hyperledger Fabric, Smart Contracts, Authentication.

For More Detailshttps://aircconline.com/csit/papers/vol11/csit110604.pdf

Wednesday, October 13, 2021

Arithmetic Operations in Multi-Valued Logic


 

Author :  Vasundara Patel K. S and K. S Gurumurthy

Affiliation :  Vishweshwaraiah Technological University

Country :  India

Category :  Computer science&Information Technology

Volume, Issue, Month, Year :  1, 1, March, 2010

Abstract :


This paper presents arithmetic operations like addition, subtraction and multiplications in Modulo-4 arithmetic, and also addition, multiplication in Galois field, using multi-valued logic (MVL). Quaternary to binary and binary to quaternary converters are designed using down literal circuits. Negation in modular arithmetic is designed with only one gate. Logic design of each operation is achieved by reducing the terms using Karnaugh diagrams, keeping minimum number of gates and depth of net in to consideration. Quaternary multiplier circuit is proposed to achieve required optimization. Simulation result of each operation is shown separately using Hspice.

Keyword :  Multiple-valued logic, Quaternary logic, Modulo-n addition and multiplication, Galois addition and multiplication.

Tuesday, October 12, 2021

THE EVALUATION CASE STUDY OF ONLINE COURSE DURING PANDEMIC PERIOD IN MONGOLIA

Author :  Uranchimeg Tudevdagva

Affiliation :  Technical University of Chemnitz

Country :  Germany

Category :  Computer Science & Information Technology

Volume, Issue, Month, Year :  11, 06, May, 2021

Abstract :

This paper describes a test and case study of self-evaluation of online courses during the pandemic time. Due to the Covid-19, the whole world needs to sit on lockdown in different periods. Many things need to be done in all kinds of business including the education sector of countries. To sustain the education development teaching methods had to switch from traditional face-to-face teaching to online courses. The government made decisions in a short time and educational institutions had no time to prepare the materials for the online teaching. All courses of the Mongolian University of Pharmaceutical Sciences switched to online lessons. Challenges were raised before professors and tutors during online teaching. Our university did not have a specific learning management system for online teaching and e-learning. Therefore professors used different platforms for their online teaching such as Zoom, Microsoft teams for instance. Moreover, different social networking platforms played an active role in communication between students and professors. The situation is very difficult for professors and students. To measure the quality of online courses and to figure out the positive and weak points of online teaching we need an evaluation of e-learning. The focus of this paper is to share the evaluation process of e-learning based on a structure-oriented evaluation model.

Keyword :  Key target, sub target, SURE model, evaluation of evaluation, Mongolian university of pharmaceutical sciences.

For More Detailshttps://aircconline.com/csit/papers/vol11/csit110603.pdf


Monday, October 11, 2021

INTERNATIONAL HIGHER EDUCATION STUDENTS’ PSYCHOLOGICAL EXPERIENCES OF COVID-19: A QUALITATIVE STUDY

 Author :  Kayi Ntinda

Affiliation :  Department of Education Foundations and Management, Kwaluseni

Country :  Eswatini

Category :  Computer Science & Information Technology

Volume, Issue, Month, Year :  11, 06, May, 2021

Abstract :

The Coronavirus pandemic 2019 (COVID-19) is hastily spreading, bringing pressure and challenges to international students in higher education institutions who were locked down on campus during the COVID-19 outbreak. We sought to explore psychological experiences of international higher education students during the COVID-19 pandemic in Eswatini. A qualitative phenomenological approach was adopted. Participants were 15 conveniently selected international higher education students who were locked down on Campus from March 20 to September 25, 2020. The interviews were conducted face to face. Data were thematically analysed. The study was informed by the ecological systems theory. The psychological experiences of international higher education students during COVID-19 pandemic were categorized in to four themes. Frist negative emotions present in early stages involving discomfort, anxiety and helplessness caused by isolation, fear and concern for safety. Second self-coping strategies included psychological and life adjustments, social distancing, acceptance of wearing of masks, hand sanitizing and online learning. Third we reported growth under the crisis which included affection for family members, peers and self-reflection. Finally, we reported that positive emotions occurred concurrently with negative emotions. During the COVID-19 crisis positive and negative emotions of international higher education students intertwined and co-occurred. Self-coping strategies and psychological growth played a crucial role in maintaining mental health of the students. The international students in higher education were resilient in coping with the COVID-19 crisis and lockdown situation which enhanced their participation in online learning

Keyword :  International higher education students, psychological experiences, COVID-19, Eswatini.

For More Detailshttps://aircconline.com/csit/papers/vol11/csit110602.pdf

Friday, October 8, 2021

CLASSROOM ACTS ON LOW LITERACY ADULTS EDUCATION SETTINGS

Author :  Carlos Luís

Affiliation :  CISUC and FCTUC Universidade de Coimbra

Country :  Portugal

Category :  Computer Science & Information Technology

Volume, Issue, Month, Year :  11, 05, May, 2021

Abstract :

This paper starts by discussing the relevance of dialogues in Adult Education and Training courses with low levels of literacy. In this group, the educational challenges are complex, and innovating the knowledge creation process involves a better understanding of the teaching/learning process. With these case study, we pretend to understand which Communicative Acts are effective in adult learning process, mainly in adults with low literacy. Based on a mixed methods, applied to a convenience sample, we used an ethnographic approach, and the Grounded Theory Methodology. The results showed that it was important to integrate the learners' emotions in an existing framework, the SEDA Framework. We found also essential to expand the Communicative Acts coding, with a new set of 17 codes organized in 3 categories.

Keyword :  Adult Education; Literacy; Classroom acts; learning environments; Human-Computer-Interaction.

For More Detailshttps://aircconline.com/csit/papers/vol11/csit110601.pdf

Thursday, October 7, 2021

EVENT-DRIVEN TIME SERIES ANALYSIS AND THE COMPARISON OF PUBLIC REACTIONS ON COVID-19

Author :  Md. Khayrul Bashar

Affiliation :  Tokyo Foundation for Policy Research

Country :  Japan

Category :  Computer Science & Information Technology

Volume, Issue, Month, Year :  11, 05, April, 2021

Abstract :

The rapid spread of COVID-19 has already affected human lives throughout the globe. Governments of different countries have taken various measures, but how they affected people lives is not clear. In this study, a rule-based and a machine-learning based models are applied to answer the above question using public tweets from Japan, USA, UK, and Australia. Two polarity timeseries (meanPol and pnRatio) and two events, namely “lockdown or emergency (LED)” and “the economic support package (ESP)”, are considered in this study. Statistical testing on the sub-series around LED and ESP events showed their positive impacts to the people of (UK and Australia) and (USA and UK), respectively unlike Japanese people that showed opposite effects. Manual validation with the relevant tweets shows an agreement with the statistical results. A case study with Japanese tweets using supervised logistic regression classifies tweets into heath-worry, economy-worry and other classes with 83.11% accuracy. Predicted tweets around events re-confirm the statistical outcomes.

Keyword :  COVID-19, lockdown, economic support, public reactions, polarity timeseries, statistical analysis, machine learning, sentiment comparison.

For More Detailshttps://aircconline.com/csit/papers/vol11/csit110507.pdf


Tuesday, October 5, 2021

ON-DEMAND VIDEO TAGGING, ANNOTATION, AND SEGMENTATION IN LECTURE RECORDINGS TO ENHANCE E-LEARNING EFFECTIVENESS

Author :  Ken D. Nguyen

Affiliation :  Clayton State University

Country :  USA

Category :  Computer Science & Information Technology

Volume, Issue, Month, Year :  11, 05, April, 2021

Abstract :

The COVID-19 pandemic has forced much of the academic world to transition into online operations and online learning. Interactions between the teachers and students are carried out via online video conferencing software where possible. All video conferencing software available today is designed for general usage and not for classroom teaching and learning. In this study, we analyzed the features and effectiveness of more than a dozen major video conferencing software that are being used to replace the physical face-to-face learning experiences. While some of the video conferencing software has pause feature but none allow annotation and segmentation of the recording. We propose tagging and annotation during the live streaming to improve direct access to any portion of the recorded video. We also propose automatic segmentation of the video based on the tagging so that the video is short, targeted, and can easily be identified.

Keyword :  Live and On-Demand Video, Video Tagging, Video Annotation, Video Segmentation, ELearning, Remote Learning, Synchronous Lectures, User Interface Design, Human-Computer Interaction.

For More Detailshttps://aircconline.com/csit/papers/vol11/csit110506.pdf

Monday, October 4, 2021

A STUDY OF REGRESSION TESTING FOR TRADE ME WEBSITE

 Author :  Kenil Manishkumar Patel

Affiliation :  AGI Institute, Auckland

Country :  New Zealand

Category :  Computer Science & Information Technology

Volume, Issue, Month, Year :  11, 05, April, 2021

Abstract :

Regression testing plays a critical role to verify the functionality testing of a product. Trade Me is New Zealand based website. It is one of the major websites in New Zealand dealing in buying and selling online. The aim of this research is to find out the functionalities of Trade Me website after injecting new features. Automation regression suite is used to execute test scripts which helped the company to save time and cost compared to manual testing. Automation regression test suite also helped to prioritize test cases are designed in such a way that it can maximize the fault detection. For research analysis scrum methodology is used to meet the ultimate desires of software development companies and to increase the client satisfaction.

Keyword :  Regression testing, automation testing, scrum methodology, testNG, selenium

For More Detailshttps://aircconline.com/csit/papers/vol11/csit110505.pdf