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Library-Based Overview of Multicriteria Decision Making for Continuous Software Improvement for Internet of Software Industry
Author(s) -
He Xiaolong,
Shah Nazir,
Lunchao Zhong,
Jun Deng
Publication year - 2021
Publication title -
scientific programming
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.269
H-Index - 36
eISSN - 1875-919X
pISSN - 1058-9244
DOI - 10.1155/2021/5519900
Subject(s) - personal software process , computer science , software development , software , software construction , social software engineering , software engineering process group , software engineering , software peer review , package development process , team software process , software analytics , engineering management , engineering , programming language
+e revolution in software development is increasing with the use of advanced techniques and tools. Software development organizations are considering standards, methods, approaches, and tools to support them in maintaining the effectiveness of software. An effective implementation of software process improvement (SPI) is important in order to gain effectiveness in the software industry. Disasters are happening in software projects and industry of software, which hinder the success of software and ultimately lead the software to failure. Peoples of organizations are demanding to devise methodological approaches for reducing the failure rate of software, but it perceived slight success. +e proposed study’s aim is to offer multicriteria decision making for continuous Internet of software industry and to report the literature to early decisionmaking associated to software developments. +e study has devised a comprehensive overview of the existing methodological approaches, tools, and mechanisms applied in software improvement for the software industry and is based on multicriteria decision making. +e research has analyzed the available literature from different perspectives and then reported it. +e results of the study will help researchers to devise new solutions for effective software process improvement, and the this study will consider as a support of evidence.

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