Mıshra, Alok
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Mishra, A.
Mishra, A
Mishra A.
Alok, Mishra
Mıshra, Alok
A., Mishra
Alok M.
M., Alok
M.,Alok
Mishra, Alok
Mishra,A.
A.,Mıshra
A.,Mishra
Alok, Mıshra
A., Mıshra
Mıshra,A.
Mishra, A
Mishra A.
Alok, Mishra
Mıshra, Alok
A., Mishra
Alok M.
M., Alok
M.,Alok
Mishra, Alok
Mishra,A.
A.,Mıshra
A.,Mishra
Alok, Mıshra
A., Mıshra
Mıshra,A.
Job Title
Profesor Doktor
Email Address
alok.mishra@atilim.edu.tr
Main Affiliation
Software Engineering
Status
Website
ORCID ID
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID
Sustainable Development Goals
1NO POVERTY
0
Research Products
2ZERO HUNGER
1
Research Products
3GOOD HEALTH AND WELL-BEING
9
Research Products
4QUALITY EDUCATION
6
Research Products
5GENDER EQUALITY
1
Research Products
6CLEAN WATER AND SANITATION
1
Research Products
7AFFORDABLE AND CLEAN ENERGY
0
Research Products
8DECENT WORK AND ECONOMIC GROWTH
0
Research Products
9INDUSTRY, INNOVATION AND INFRASTRUCTURE
8
Research Products
10REDUCED INEQUALITIES
0
Research Products
11SUSTAINABLE CITIES AND COMMUNITIES
4
Research Products
12RESPONSIBLE CONSUMPTION AND PRODUCTION
4
Research Products
13CLIMATE ACTION
4
Research Products
14LIFE BELOW WATER
4
Research Products
15LIFE ON LAND
0
Research Products
16PEACE, JUSTICE AND STRONG INSTITUTIONS
10
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17PARTNERSHIPS FOR THE GOALS
2
Research Products
This researcher does not have a Scopus ID.
Documents
170
Citations
2551
Scholarly Output
197
Articles
103
Views / Downloads
726/2439
Supervised MSc Theses
13
Supervised PhD Theses
8
WoS Citation Count
2074
Scopus Citation Count
3043
Patents
0
Projects
0
WoS Citations per Publication
10.53
Scopus Citations per Publication
15.45
Open Access Source
42
Supervised Theses
21
| Journal | Count |
|---|---|
| Sensors | 7 |
| TEM Journal | 7 |
| Computers in Human Behavior | 4 |
| Applied Sciences | 4 |
| Electronics Information and Planning | 4 |
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47 results
Scholarly Output Search Results
Now showing 1 - 10 of 47
Conference Object Üniversite Yazilim Mühendisligi Programlari Müfredatinin Swebok Kilavuzu Kullanilarak Degerlendirme ve İyilestirilmesi: Türkiye'de Bir Vaka Çalismasi(CEUR-WS, 2015) Garousi,V.; Mishra,A.; Yazici,A.[No abstract available]Conference Object Citation - WoS: 2Citation - Scopus: 3Object-oriented inheritance metrics: Cognitive complexity perspective(Springer-Verlag Berlin, 2009) Mishra,D.; Mishra,A.Identifying high cognitive complexity modules can lead to a better quality software system and can help during maintenance also. It has been found that inheritance has an impact on cognitive complexity of a software system. In this paper, two inheritance metrics based on cognitive complexity, one at class level CCI (Class Complexity due to Inheritance) and another at program level ACI (Average Complexity of a program due to Inheritance), have been proposed for object-oriented software systems. These metrics are also compared with other well known object-oriented inheritance metrics. © 2009 Springer Berlin Heidelberg.Article Citation - Scopus: 2An Empirical Study on Software Fault Prediction Using Product and Process Metrics(IGI Global, 2021) Shatnawi,R.; Mishra,A.Product and process metrics are measured from the development and evolution of software. Metrics are indicators of software fault-proneness and advanced models using machine learning can be provided to the development team to select modules for further inspection. Most fault-proneness classifiers were built from product metrics. However, the inclusion of process metrics adds evolution as a factor to software quality. In this work, the authors propose a process metric measured from the evolution of software to predict fault-proneness in software models. The process metrics measures change-proneness of modules (classes and interfaces). Classifiers are trained and tested for five large open-source systems. Classifiers were built using product metrics alone and using a combination of product and the proposed process metric. The classifiers evaluation shows improvements whenever the process metrics were used. Evolution metrics are correlated with quality of software and helps in improving software quality prediction for future releases. Copyright © 2021, IGI Global.Conference Object Citation - WoS: 7Citation - Scopus: 8An Empirical Study of the Dynamics of Github Repository and Its Impact on Distributed Software Development(Springer Verlag, 2014) Yu,L.; Mishra,A.; Mishra,D.GitHub is a distributed code repository and project hosting web site. It is becoming one of the most popular web-based services to host both opensource projects and closed-source projects. In this paper, we review different kinds of version control systems and study the dynamics of GitHub, i.e., the ability and scalability of GitHub to process different requests and provide different services to different GitHub projects and GitHub users. Our study shows that GitHub could handle hundreds of thousands of requests a day for all the projects and thousands of requests for one project. This capability of GitHub makes it suitable for supporting distributed software development. © Springer-Verlag Berlin Heidelberg 2014.Book Part Citation - Scopus: 2A Study of Software Process Improvement in Small and Medium Organizations(IGI Global, 2008) Mishra,D.; Mishra,A.Presently, the majority of software development, including outsourcing, is carried out by small and medium size software development organizations all over the world. These organizations are not capable to bear the cost of implementing available software process improvement models like CMMI, SPICE, ISO, and so forth. Therefore, there is a need to address this problem. In this chapter, various software process assessment and software process improvement models for small and medium scale organizations are discussed and compared. This will lead towards development of standardized software process improvement model for small and medium sized software development organizations in the future. © 2008, IGI Global.Article Citation - Scopus: 15Software Quality Assurance Models in Small and Medium Organisations: a Comparison(Inderscience Publishers, 2006) Mishra,A.; Mishra,D.Presently, the majority of software development including outsourcing is carried out by small- and medium-sized software development organisations all over the world. These organisations are not capable of bearing the cost of implementing available software quality models like CMM, SPICE, ISO, etc. Therefore, there is a need to address this problem. In this paper, we have tried to compare the main characteristics, benefits, and limitations of the models for small and medium software development organisations. We believe that this effort will contribute towards the development of a standardised quality improvement model for small- and medium-sized software development organisations. Copyright © 2006 Inderscience Enterprises Ltd.Conference Object Citation - WoS: 7Citation - Scopus: 57Successful Requirement Elicitation by Combining Requirement Engineering Techniques(IEEE, 2008) Mishra,D.; Mishra,A.; Yazici,A.The role of customers and other stakeholders is becoming increasingly significant during requirement engineering activities. Methods of eliciting requirements are now more co-operative. There are many techniques to obtain requirements from customers. Selecting the right techniques according to the characteristics of the project is very important. In some complex problems, combination of requirement engineering techniques should be applied for efficient and successful requirement engineering process. In this paper, we have presented the application of combination of requirement engineering techniques for a real life complex project (Supply Chain Management) with higher requirements volatility developed in a small scale software development organization.This will help in understanding requirements elicitation for such kind of complex software and facilitate in selecting the appropriate techniques towards getting the consistent and complete requirements. ©2008 IEEE.Book Part Citation - Scopus: 2Novel Covid-19 Recognition Framework Based on Conic Functions Classifier(Springer Science and Business Media Deutschland GmbH, 2022) Karim,A.M.; Mishra,A.The new coronavirus has been declared as a global emergency. The first case was officially declared in Wuhan, China, during the end of 2019. Since then, the virus has spread to nearly every continent, and case numbers continue to rise. The scientists and engineers immediately responded to the virus and presented techniques, devices and treatment approaches to fight back and eliminate the virus. Machine learning is a popular scientific tool and is applied to several medical image recognition problems, involving tumour recognition, cancer detection, organ transplantation and COVID-19 diagnosis. It is proved that machine learning presents robust, fast and accurate results in various medical image recognition problems. Generally, machine learning-based frameworks consist of two stages: feature extraction and classification. In the feature extraction, overwhelmingly unsupervised learning techniques are applied to reduce the input data’s size. This step extracts appropriate features by reducing the computational time and increasing the performance of the classifiers. A classifier is the second step that aims to categorise the input. Within the proposed step, the unsupervised part relies on the feature extraction by using local binary patterns (LBP), followed by feature selection relying on factor analysis technique. The LBP is a kind of visual descriptor, mainly applied for image recognition problem. The aim of using LBP is to analyse the input COVID-19 image and extract salient features. Furthermore, factor analysis is a statistical technique applied to define variability among observed variables in less unnoticed variables named factors. The factor analysis applied to the LBP wavelet aims to select sensitive features from input data (LBP output) and reduce the size input. In the last stage, conic functions classifier is applied to classify two sets of data, categorising the extracted features by using LBP and factor analysis as positive or negative COVID-19 cases. The proposed solution aims to diagnose COVID-19 by using LBP and factor analysis, based on conic functions classifier. The conic functions classifier presents remarkable results compared with these popular classifiers and state-of-the-art studies presented in the literature. © 2022, Springer Nature Switzerland AG.Conference Object Citation - Scopus: 1Inventory System Transition Towards ERP(Institute of Electrical and Electronics Engineers Inc., 2019) Alansari,S.; Mishra,A.To do activities effectively and generate a value chain for organization competitiveness, it is required to run supply chain in best way by logistic services information system. Supply chains in the best way using logistic services information. Supply chain management has two purposes, first to deliver the product to the end users via multiple departments and, secondly, to deliver products to last customers because as it is beneficial to manage such product with coordination and monitoring everyday supply.To improve departments by equipping them with the best strategic information system, and to avoid all the associated risks its requires to have a specific system for inventory control. Therefore, the main goal of this paper is to illustrate the transition of the existing systems towards Enterprise Resource Planning (ERP). The study also proposes inception plans to develop the necessary software and search towards the best system by keeping in view many organizational constraints. To the end, a survey is carried out to measure the relationship between management models and organizational innovativeness in internal processes as part of the efforts towards adopting the new system planning. © 2019 IEEE.Conference Object Citation - Scopus: 3Achieving Success in Supply Chain Management Software by Agility(Springer Verlag, 2007) Mishra,D.; Mishra,A.Supply chain management is comprehensive software. Due to its scope and unpredictable, complex and unstable requirements, it is not possible to develop it with predictable development process models. Agile methodologies are targeted towards such kind of problems that involves change and uncertainty, and are adaptive rather than predictive. The aim of this paper is to analyze the management and development methodologies used in development of supply chain management software. This paper shows how to overcome risks and handicaps in each development phase of a complex inventive project. It also provides a set of guidelines regarding how the agile methods may be adopted, combined and used in these kinds of projects. © Springer-Verlag Berlin Heidelberg 2007.
