SELECTION OF OPTIMAL SOFTWARE DEVELOPMENT METHODOLOGY BASED ON WEIGHTED AGGREGATED SUM PRODUCT ASSESSMENT METHOD

SELECTION OF OPTIMAL SOFTWARE DEVELOPMENT METHODOLOGY BASED ON WEIGHTED AGGREGATED SUM PRODUCT ASSESSMENT METHOD
Author: Darjan Karabašević
Publisher: Infinite Study
Total Pages: 17
Release:
Genre: Mathematics
ISBN:

The software development methodology covers the complete software life cycle. It involves the production of quality and reliable software in a systematic, controlled and efficient manner using formal methods for specification, evaluation, analysis and design, implementation, testing, and maintenance. Today, software is used in all domains of education. From primary and secondary schools to higher education institutions are using specialist software packages intended for research. The aim of this manuscript is a selection of the software development methodology based on multiple-criteria decision-making methods. PIPRECIA method is applied for defining the weights of the criteria, whereas WASPAS method is applied for the ranking of alternatives. The application of the proposed approach, as well as its efficiency and effectiveness, are shown in the conducted case study.

Collected Papers. Volume X

Collected Papers. Volume X
Author: Florentin Smarandache
Publisher: Infinite Study
Total Pages: 1006
Release: 2022-06-01
Genre: Mathematics
ISBN:

This tenth volume of Collected Papers includes 86 papers in English and Spanish languages comprising 972 pages, written between 2014-2022 by the author alone or in collaboration with the following 105 co-authors (alphabetically ordered) from 26 countries: Abu Sufian, Ali Hassan, Ali Safaa Sadiq, Anirudha Ghosh, Assia Bakali, Atiqe Ur Rahman, Laura Bogdan, Willem K.M. Brauers, Erick González Caballero, Fausto Cavallaro, Gavrilă Calefariu, T. Chalapathi, Victor Christianto, Mihaela Colhon, Sergiu Boris Cononovici, Mamoni Dhar, Irfan Deli, Rebeca Escobar-Jara, Alexandru Gal, N. Gandotra, Sudipta Gayen, Vassilis C. Gerogiannis, Noel Batista Hernández, Hongnian Yu, Hongbo Wang, Mihaiela Iliescu, F. Nirmala Irudayam, Sripati Jha, Darjan Karabašević, T. Katican, Bakhtawar Ali Khan, Hina Khan, Volodymyr Krasnoholovets, R. Kiran Kumar, Manoranjan Kumar Singh, Ranjan Kumar, M. Lathamaheswari, Yasar Mahmood, Nivetha Martin, Adrian Mărgean, Octavian Melinte, Mingcong Deng, Marcel Migdalovici, Monika Moga, Sana Moin, Mohamed Abdel-Basset, Mohamed Elhoseny, Rehab Mohamed, Mohamed Talea, Kalyan Mondal, Muhammad Aslam, Muhammad Aslam Malik, Muhammad Ihsan, Muhammad Naveed Jafar, Muhammad Rayees Ahmad, Muhammad Saeed, Muhammad Saqlain, Muhammad Shabir, Mujahid Abbas, Mumtaz Ali, Radu I. Munteanu, Ghulam Murtaza, Munazza Naz, Tahsin Oner, ‪Gabrijela Popović, Surapati Pramanik, R. Priya, S.P. Priyadharshini, Midha Qayyum, Quang-Thinh Bui, Shazia Rana, Akbara Rezaei, Jesús Estupiñán Ricardo, Rıdvan Sahin, Saeeda Mirvakili, Said Broumi, A. A. Salama, Flavius Aurelian Sârbu, Ganeshsree Selvachandran, Javid Shabbir, Shio Gai Quek, Son Hoang Le, Florentin Smarandache, Dragiša Stanujkić, S. Sudha, Taha Yasin Ozturk, Zaigham Tahir, The Houw Iong, Ayse Topal, Alptekin Ulutaș, Maikel Yelandi Leyva Vázquez, Rizha Vitania, Luige Vlădăreanu, Victor Vlădăreanu, Ștefan Vlăduțescu, J. Vimala, Dan Valeriu Voinea, Adem Yolcu, Yongfei Feng, Abd El-Nasser H. Zaied, Edmundas Kazimieras Zavadskas.

Data-Driven Optimization of Manufacturing Processes

Data-Driven Optimization of Manufacturing Processes
Author: Kalita, Kanak
Publisher: IGI Global
Total Pages: 298
Release: 2020-12-25
Genre: Technology & Engineering
ISBN: 1799872084

All machining process are dependent on a number of inherent process parameters. It is of the utmost importance to find suitable combinations to all the process parameters so that the desired output response is optimized. While doing so may be nearly impossible or too expensive by carrying out experiments at all possible combinations, it may be done quickly and efficiently by using computational intelligence techniques. Due to the versatile nature of computational intelligence techniques, they can be used at different phases of the machining process design and optimization process. While powerful machine-learning methods like gene expression programming (GEP), artificial neural network (ANN), support vector regression (SVM), and more can be used at an early phase of the design and optimization process to act as predictive models for the actual experiments, other metaheuristics-based methods like cuckoo search, ant colony optimization, particle swarm optimization, and others can be used to optimize these predictive models to find the optimal process parameter combination. These machining and optimization processes are the future of manufacturing. Data-Driven Optimization of Manufacturing Processes contains the latest research on the application of state-of-the-art computational intelligence techniques from both predictive modeling and optimization viewpoint in both soft computing approaches and machining processes. The chapters provide solutions applicable to machining or manufacturing process problems and for optimizing the problems involved in other areas of mechanical, civil, and electrical engineering, making it a valuable reference tool. This book is addressed to engineers, scientists, practitioners, stakeholders, researchers, academicians, and students interested in the potential of recently developed powerful computational intelligence techniques towards improving the performance of machining processes.

The Development of Component-based Information Systems

The Development of Component-based Information Systems
Author: Sergio de Cesare
Publisher: Routledge
Total Pages: 252
Release: 2015-05-15
Genre: Business & Economics
ISBN: 1317457463

This work provides a comprehensive overview of research and practical issues relating to component-based development information systems (CBIS). Spanning the organizational, developmental, and technical aspects of the subject, the original research included here provides fresh insights into successful CBIS technology and application. Part I covers component-based development methodologies and system architectures. Part II analyzes different aspects of managing component-based development. Part III investigates component-based development versus commercial off-the-shelf products (COTS), including the selection and trading of COTS products.

Development of Component-based Information Systems

Development of Component-based Information Systems
Author: Sergio De Cesare
Publisher: M.E. Sharpe
Total Pages: 257
Release: 2006
Genre: Business & Economics
ISBN: 0765621940

Annotation This work provides a comprehensive overview of research and practical issues relating to component-based information systems (CBIS). Spanning the organizational, developmental, and technical aspects of the subject, the original research included here provides fresh insights into successful CBIS technology and application, including the selection and trading of commercial off-the shelf products (COTS).

Optimal Planning of Smart Grid With Renewable Energy Resources

Optimal Planning of Smart Grid With Renewable Energy Resources
Author: Jain, Naveen
Publisher: IGI Global
Total Pages: 294
Release: 2021-12-10
Genre: Technology & Engineering
ISBN: 1668440148

Understanding the recent developments in renewable energy is crucial for a range of fields in today’s society. As environmental awareness and the need for a more sustainable future continues to grow, the uses of renewable energy, particularly in areas such as smart grid, must be considered and studied thoroughly to be implemented successfully and move society toward a more sustainable future. Optimal Planning of Smart Grid With Renewable Energy Resources offers a detailed guide to the new problems and opportunities for sustainable growth in engineering by focusing on modeling diverse problems occurring in science and engineering as well as novel effective theoretical methods and robust optimization theories, which can be used to analyze and solve multiple types of problems. Covering topics such as electric drives and energy systems, this publication is ideal for researchers, academicians, industry professionals, engineers, scholars, instructors, and students.

Object-oriented Metrics

Object-oriented Metrics
Author: Brian Henderson-Sellers
Publisher: Prentice Hall
Total Pages: 260
Release: 1996
Genre: Computers
ISBN:

Object-oriented (OO) metrics are an integral part of object technology -- at the research level and in commercial software development projects. This book offers theoretical and empirical tips and facts for creating an OO complexity metrics (measurement) program, based on a review of existing research from the last several years. KEY TOPICS: Covers moving through object-oriented concepts as they related to managing the project lifecycle; the framework in which metrics exist; structural complexity metrics for traditional systems; OO product metrics; and current industrial applications. MARKET: For software developers, programmers, and managers.

Multi-criteria Decision Analysis

Multi-criteria Decision Analysis
Author: Alessio Ishizaka
Publisher: John Wiley & Sons
Total Pages: 260
Release: 2013-06-10
Genre: Mathematics
ISBN: 1118644913

This book presents an introduction to MCDA followed by more detailed chapters about each of the leading methods used in this field. Comparison of methods and software is also featured to enable readers to choose the most appropriate method needed in their research. Worked examples as well as the software featured in the book are available on an accompanying website.

Sustainable Nanoscale Engineering

Sustainable Nanoscale Engineering
Author: Gyorgy Szekely
Publisher: Elsevier
Total Pages: 476
Release: 2019-09-18
Genre: Technology & Engineering
ISBN: 0128146826

Sustainable Nanoscale Engineering: From Materials Design to Chemical Processing presents the latest on the design of nanoscale materials and their applications in sustainable chemical production processes. The newest achievements of materials science, in particular nanomaterials, opened new opportunities for chemical engineers to design more efficient, safe, compact and environmentally benign processes. These materials include metal-organic frameworks, graphene, membranes, imprinted polymers, polymers of intrinsic microporosity, nanoparticles, and nanofilms, to name a few. Topics discussed include gas separation, CO2 sequestration, continuous processes, waste valorization, catalytic processes, bioengineering, pharmaceutical manufacturing, supercritical CO2 technology, sustainable energy, molecular imprinting, graphene, nature inspired chemical engineering, desalination, and more. - Describes new, efficient and environmentally accepted processes for nanomaterials design - Includes a large array of materials, such as metal-organic frameworks, graphene, imprinted polymers, and more - Explores the contribution of these materials in the development of sustainable chemical processes

Intelligent Decision Support Systems for Smart City Applications

Intelligent Decision Support Systems for Smart City Applications
Author: Loveleen Gaur
Publisher: John Wiley & Sons
Total Pages: 276
Release: 2023-02-01
Genre: Computers
ISBN: 1119896436

INTELLIGENT DECISION SUPPORT SYSTEMS FOR SMART CITY APPLICATIONS This book provides smart city frameworks to address new difficulties by adding new features and allowing the city environment to react to collected data and information to increase the efficiency and sustainability of services for inhabitants. Making a smart city is an emerging strategy to mitigate the problems generated by urban population growth and rapid urbanization. This book aims to provide a better understanding of the concept of smart cities and the application of an intelligent decision support system. Based on the analysis of existing information there are eight critical factors of smart city initiatives: management and organization, technology, governance, policy context, people and communities, economy, built infrastructure, and natural environment. This book will focus on the application of the decision support system in managing these eight crucial aspects of smart cities. The intent in writing this book was also to provide a source that covers the stage-by-stage integration of the four key areas involving planning, physical infrastructure, ICT infrastructure, and deploying the smart solutions necessary for city transformation. With this as the motivation, “Decision Support Systems for Smart City Applications” provides the application of an intelligent decision support system for effectively and efficiently managing the transformation process, which can aid various supply chain stakeholders, academic researchers, and related professionals in building smart cities. Various chapters of this book are expected to support practicing managers during the implementation of smart solutions for city transformation. Audience This book is aimed at both academics and practitioners alike in the fields of intelligent computing, decision support systems, the manufacturing industry, supply chain managers, stakeholders, policymakers, and other technical and administrative personnel.