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Call4Papers  · 公众号  · 科研  · 2021-03-15 09:25

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Managing Software Processes Using Soft Computing Techniques
Software processes are becoming complex and challenging due to the modern-day continuous software engineering (CSE) concepts, which are mainly based on continuous integration, continuous delivery, infrastructure-as-code, automation and more. Different intelligent techniques and approaches are required to tackle challenges related to the software processes.

There are multiple applications of soft computing methods and concepts which can be used in software engineering projects in industry and research. Soft computing intelligence techniques are used for many applied software engineering challenges including defect prediction, estimation and reusable software engineering and classification. However, the applications of soft computing techniques in software processes are far from being mature, which appears to be more suitable field for its application. The applied soft computing techniques like fuzzy logic, neural networks (NNs), case base reasoning and evolutionary computation could provide a novel roadmap to manage software processes.

The aim of this special issue is to provide a platform for both practitioners and researchers to discuss the suitability of soft computing techniques for managing the managerial, organizational, economical and technical aspects of software processes. This issue will provide an opportunity to present the empirical evidences and technical strategies of software processes, as well propose new techniques, tools, frameworks and approaches to maximize the significance of software development processes with the application of soft computing techniques. We welcome the articles where the authors report research studies for the applications of soft computing methods in the domain of software processes.

Suggested Topics and Quality Control

Papers in the field of applied computing for software processes on (but not limited to) the following topics are invited for submission:

Soft computing applications for process improvement

Security in software processes

Decision support systems

DevOps pipeline automation

Information processing in software processes

Software process automation

AI for process management

Ethics in AI based processes

Managing agile processes using soft computing concepts

Process management in global software development

Fuzzy optimization

Process risks management using soft computing techniques

Soft computing-based process improvement standards and models

Software process simulation modelling

Data science for process management

Managing crowdsourcing using soft computing approaches

Systematic literature reviews

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