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Author

Surabhi Saxena

Other affiliations: Babu Banarasi Das University
Bio: Surabhi Saxena is an academic researcher from K L University. The author has contributed to research in topics: Software quality & E-procurement. The author has an hindex of 2, co-authored 10 publications receiving 9 citations. Previous affiliations of Surabhi Saxena include Babu Banarasi Das University.

Papers
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Journal ArticleDOI
TL;DR: This research paper shows the outcomes of a systematic literature review conducted on software reliability of object oriented design.
Abstract: Software Reliability is one of the most important quality indicator for software development life cycle process. It is perfectly measured and support to increase the development process. Somewhere the software quality depends upon the reliable measurement. A number of software reliability theories have been published in different types of journals by researcher and practitioners. On the other hand reliability is a always big questions in complex system. This research paper shows the outcomes of a systematic literature review conducted on software reliability of object oriented design.

3 citations

Journal ArticleDOI
TL;DR: In this paper, a comparative evaluation of different classical as well as ensemble machine learning models, which are used to predict the risk of diabetes from two different datasets, i.e., PIMA Indian diabetes dataset and early-stage diabetes risk prediction dataset, is provided.
Abstract: Recently machine learning algorithms are widely used for the prediction of different attributes, and these algorithms find widespread applications in a variety of domains. Machine learning in health care has been one of the core areas of research where machine learning models are used on the medical datasets to predict different attributes. This work provides a comparative evaluation of different classical as well as ensemble machine learning models, which are used to predict the risk of diabetes from two different datasets, i.e., PIMA Indian diabetes dataset and early-stage diabetes risk prediction dataset. From the comparative analysis, it is found that the superlearner model provides the best accuracy i.e. 86% for PIMA Indian diabetes dataset, and it provides 97% accuracy for diabetes risk prediction dataset.

2 citations

01 Jan 2014
TL;DR: In this article, the authors identify the barriers to adoption of e-commerce technologies from the various points of views, as a result from overview on various literature that are presented and related to previous research in this area.
Abstract: Electronic commerce has been future to be the new driver for economic growth and also touches all aspects of economic life and presents a series of critical issues. It includes the collection of numerous elements of technologies, e- commerce infrastructure, some of the business operation and policy etc. All these elements need to work together as smooth as possible to find the maximum benefits to customers. Most importantly, e-commerce requires new skills and forms of industrial organization. The SMEs sector plays an important role in its contribution to the growth of national economy in the terms of monetary values. This paper's focus is not on small medium enterprises; it is depend upon barriers for any businesses adoption to electronic business. This study was therefore initiated to identify the barriers to adoption of e- commerce technologies from the various points of views. The barriers found, as a result from overview on various literature that are presented and related to previous research in this area. Keyword- E-Commerce Barriers, E-Commerce Adoption Barriers, Literature Review on E-Commerce, Small and Medium Enterprises (SMEs).

2 citations

01 Jan 2015
TL;DR: In this paper, the authors explore the impact and scope of e-governance initiatives taken by the Government in India and discuss on what are the issues which are involved in the e-Governance has not been properly implemented in the sum areas of the states of India.
Abstract: The growth of Information Communication Technology ( ICT) has brought a lot of changes in the India both public and private sectors to provide services to their citizens and to change the rules and regulations and hence the E-Governance is best example . It is nothing but the process of providing efficient and effective delivery of government services to the citizens. It can understood that it is a updating the traditional government services i.e. long queue , lots of paper work , and a lot of frustrations etc over the e-medium of government services .So that the growth of governmental projects is become so efficient, speedy and transparent to the overall society as well as the to the organization of the India . Therefore the main objectives to write this research paper is to explore the impact and scope of e-Governance initiatives taken by the Government in India. Lastly the research finding discusses on what are the issues which are involved in the e-Governance has not been properly implemented in the sum areas of the states of India . So that the future visions make useful way to know what are the major impacts and scope of e-Governance projects in India.

2 citations


Cited by
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Journal Article
01 Mar 2001-Harefuah

31 citations

Journal Article
TL;DR: It is observed that the non-linear ensemble outperformed all the other ensembles and also the constituent statistical and intelligent techniques.
Abstract: In this paper, ensemble models are developed to accurately forecast software reliability. Various statistical (multiple linear regression and multivariate adaptive regression splines) and intelligent techniques (backpropagation trained neural network, dynamic evolving neuro-fuzzy inference system and TreeNet) constitute the ensembles presented. Three linear ensembles and one non-linear ensemble are designed and tested. Based on the experiments performed on the software reliability data obtained from literature, it is observed that the non-linear ensemble outperformed all the other ensembles and also the constituent statistical and intelligent techniques.

8 citations

Journal ArticleDOI
TL;DR: In this article , the ADDIE (analysis, design, development, implementation, and evaluation) model is used to explore the instructional design stages of active learning in higher education education.
Abstract: Implementing active learning methods in engineering education is becoming the new norm and is seen as a prerequisite to prepare future engineers not only for their professional life, but also to tackle global issues. Teachers at higher education institutions are expected and encouraged to introduce their students to active learning experiences, such as problem-, project-, and more recently, challenge-based learning. Teachers have to shift from more traditional teacher-centered education to becoming instructional designers of student-centered education. However, instructional designers (especially novice) often interpret and adapt even well-established methods, such as problem-based learning and project-based learning, such that the intended value thereof risks being weakened. When it comes to more recent educational settings or frameworks, such as challenge-based learning, the practices are not well established yet, so there might be even more experimentation with implementation, especially drawing inspiration from other active learning methods. By conducting a systematic literature analysis of research on problem-based learning, project-based learning, and challenge-based learning, the present paper aims to shed more light on the different steps of instructional design in implementing the three methods. Based on the analysis and synthesis of empirical findings, the paper explores the instructional design stages according to the ADDIE (analysis, design, development, implementation, and evaluation) model and provides recommendations for teacher practitioners.

7 citations

Journal ArticleDOI
TL;DR: In this article, the authors present a framework for categorising the benefits of e-governance in the Indian context, wherein four dimensions of benefits are proposed i.e., economic benefits, quality of service (QoS), quality of governance (QoG) benefits and personal development.
Abstract: The paper presents a framework for categorising the benefits of e-governance in the Indian context, wherein four dimensions of benefits are proposed i.e., economic benefits, quality of service (QoS) benefits, quality of governance (QoG) benefits and personal development. To test the proposed framework, the study has selected e-governance services offered by New Delhi Municipal Council (NDMC). Primary data has been collected from 515 users of NDMC's e-governance services to study their perceptions regarding the proposed dimensions of e-governance benefits. The factor analysis technique has been used to identify the dimensions of e-governance benefits. The study also examines how the citizens' perceptions regarding the realisation of e-governance benefits differ according to their demographic characteristics (gender, age, education, occupation and income). The findings of the study indicate that e-governance services are most beneficial in terms of economic benefits, followed by benefits in terms of QoS and QoG.

7 citations